Adapters
English
finance
music
biology
legal
medical
text-generation-inference
Fintech
ai
crypto
chatgpt
gpt
openai
huggingchat
chatui
stripe
Google
Amazon
HTP
#://
$://
@://
*://
#://CNXT
$://THeXDesK
#://CHaTx
❌
$://CHaTx
BLooMBeRG
CQG
AoN
#://CoNTRax
$://CoNTRax
CoNVB
#://CNXT.app
$://XDesK.app
FiX
aPi
aiRuN
30MiNs
LiNKeDiN
https://X.CoM
https://X.aPp
sms
smtp
http://
https://
HashTag
HashTags
HashTagPRoToCoL
GuNDB
iPFs
STeLLaR
DoCKeR
GiT
GiTHuB
eNGLiSH
#NGLiSH
SeaRCHeNGiNe
WeBBRoWSeR
oPeRaTiNGSySTeM
FuTuRes
oPTioNs
DeFi
fiaT
SMaRTCoNTRaCTs
CoNTRaCTs
DLT
$://XCH
$://ACH
$://SWiFT
chemistry
code
art
#://aMaZoN.CoM
#://GooGLe.CoM
#://aPPLe.CoM
$://CMeGRouP.aPp
#://CMeGRouP.app
#://oPeNai.CoM
#://MiCRoSoFT.CoM
#://X.CoM
$://X.aPp
#://GiTHuB.CoM
#://aws.aMaZoN.CoM
#://FaCeBooK.CoM
#://30MiNs.CoM
#://LiNKeDiN.CoM
#://TWiTTeR.CoM
#://youTuBe.CoM
#://TiKToK.CoM
FiNaNCiaLSeRViCes
TeCHNoLoGySeRViCes
bresnow
floatingmammoth
FLTNGMMTH
#://FLTNGMMTH.CoM
#://THeFLTNGMMTH
#://30MiNs.CoM
#://30MiNs.aPp
zapier
create
#://zapier
#ash
Xclip
CQG
#://CQG.app
https://cqg.com
#://SToNex
#://STRaiTsFiNaNCiaL
#://RCM
#://MaRKeTsWiKi
#://eXCeL
#://SeCo
#://SeCoMiND
| datasets: | |
| - OpenAssistant/oasst1 | |
| - fka/awesome-chatgpt-prompts | |
| - togethercomputer/RedPajama-Data-1T | |
| - anon8231489123/ShareGPT_Vicuna_unfiltered | |
| - gsdf/EasyNegative | |
| - bloomberg/entsum | |
| - openai/summarize_from_feedback | |
| - billsum | |
| - AmazonScience/massive | |
| - amazon_us_reviews | |
| - amazon_reviews_multi | |
| - openwebtext | |
| - microsoft/CLUES | |
| - Norod78/microsoft-fluentui-emoji-512-whitebg | |
| - Norod78/microsoft-fluentui-emoji-768 | |
| - MicPie/unpredictable_msdn-microsoft-com | |
| - microsoft/codexglue_method_generation | |
| - Salesforce/rose | |
| - Intel/WEC-Eng | |
| - Intel/CoreSearch | |
| - google/MusicCaps | |
| - google/xtreme_s | |
| - google/fleurs | |
| - EleutherAI/lambada_openai | |
| - CarperAI/openai_summarize_tldr | |
| - CarperAI/openai_summarize_comparisons | |
| - dalle-mini/YFCC100M_OpenAI_subset | |
| - openai_humaneval | |
| - openai/webgpt_comparisons | |
| - nyanko7/LLaMA-65B | |
| - allenai/objaverse | |
| - Anthropic/hh-rlhf | |
| - Anthropic/model-written-evals | |
| - yizhongw/self_instruct | |
| - Nerfgun3/bad_prompt | |
| - Nerfgun3/cyberware_style | |
| - JosephusCheung/GuanacoDataset | |
| - allenai/multixscience_sparse_oracle | |
| - allenai/wcep_dense_oracle | |
| - facebook/content_rephrasing | |
| - facebook/flores | |
| - cverse/linkedin | |
| - amazon_polarity | |
| - ApiInferenceTest/asr_dummy | |
| - Francois/futures_es | |
| - Intel/textual_inversion_dicoo_dfq | |
| - search_qa | |
| - nomic-ai/gpt4all_prompt_generations | |
| - yahoo_answers_topics | |
| - code_search_net | |
| - LangChainDatasets/agent-search-calculator | |
| - wikipedia | |
| - craigslist_bargains | |
| - codeparrot/github-code | |
| - codeparrot/github-code-clean | |
| - code_x_glue_ct_code_to_text | |
| - 0n1xus/codexglue | |
| - pszemraj/govreport-summarization-8192 | |
| - Icannos/gpt4all-formatted-dolly-15k-multilingual | |
| - chromeNLP/quality | |
| - CNXT/autotrain-data-chatx | |
| - >- | |
| emilylearning/cond_ft_subreddit_on_reddit__prcnt_20__test_run_False__xlm-roberta-base | |
| - openchat/openchat_sharegpt4_dataset | |
| - tiiuae/falcon-refinedweb | |
| - Salesforce/dialogstudio | |
| - ehartford/dolphin | |
| - databricks/databricks-dolly-15k | |
| - GAIR/lima | |
| - uonlp/CulturaX | |
| - TIGER-Lab/MathInstruct | |
| - google/trueteacher | |
| - arubenruben/cnn_dailymail_azure_pt_pt | |
| - facebook/winoground | |
| - facebook/multilingual_librispeech | |
| - facebook/belebele | |
| - meta-math/MetaMathQA | |
| metrics: | |
| - accuracy | |
| - bertscore | |
| - bleu | |
| - bleurt | |
| - brier_score | |
| - cer | |
| - character | |
| - charcut_mt | |
| - chrf | |
| - code_eval | |
| library_name: adapter-transformers | |
| tags: | |
| - 'finance ' | |
| - music | |
| - biology | |
| - legal | |
| - medical | |
| - text-generation-inference | |
| - Fintech | |
| - ai | |
| - crypto | |
| - chatgpt | |
| - gpt | |
| - openai | |
| - huggingchat | |
| - chatui | |
| - stripe | |
| - Amazon | |
| - HTP | |
| - '#://' | |
| - $:// | |
| - '@://' | |
| - '*://' | |
| - '#://CNXT' | |
| - $://THeXDesK | |
| - '#://CHaTx' | |
| - ❌ | |
| - ' $://CHaTx' | |
| - BLooMBeRG | |
| - CQG | |
| - AoN | |
| - '#://CoNTRax' | |
| - $://CoNTRax | |
| - CoNVB | |
| - '#://CNXT.app' | |
| - $://XDesK.app | |
| - FiX | |
| - aPi | |
| - aiRuN | |
| - 30MiNs | |
| - https://X.CoM | |
| - https://X.aPp | |
| - sms | |
| - smtp | |
| - http:// | |
| - https:// | |
| - HashTag | |
| - HashTags | |
| - HashTagPRoToCoL | |
| - GuNDB | |
| - iPFs | |
| - STeLLaR | |
| - DoCKeR | |
| - GiT | |
| - GiTHuB | |
| - eNGLiSH | |
| - '#NGLiSH' | |
| - SeaRCHeNGiNe | |
| - WeBBRoWSeR | |
| - oPeRaTiNGSySTeM | |
| - FuTuRes | |
| - oPTioNs | |
| - DeFi | |
| - fiaT | |
| - SMaRTCoNTRaCTs | |
| - CoNTRaCTs | |
| - DLT | |
| - $://XCH | |
| - '$://ACH ' | |
| - $://SWiFT | |
| - chemistry | |
| - code | |
| - art | |
| - '#://aMaZoN.CoM' | |
| - '#://GooGLe.CoM' | |
| - '#://aPPLe.CoM' | |
| - $://CMeGRouP.aPp | |
| - '#://CMeGRouP.app' | |
| - '#://oPeNai.CoM' | |
| - '#://MiCRoSoFT.CoM' | |
| - '#://X.CoM' | |
| - $://X.aPp | |
| - '#://GiTHuB.CoM' | |
| - '#://aws.aMaZoN.CoM' | |
| - '#://FaCeBooK.CoM' | |
| - '#://30MiNs.CoM' | |
| - '#://LiNKeDiN.CoM' | |
| - '#://TWiTTeR.CoM' | |
| - '#://youTuBe.CoM' | |
| - '#://TiKToK.CoM' | |
| - FiNaNCiaLSeRViCes | |
| - TeCHNoLoGySeRViCes | |
| - bresnow | |
| - floatingmammoth | |
| - FLTNGMMTH | |
| - '#://FLTNGMMTH.CoM' | |
| - '#://THeFLTNGMMTH' | |
| - '#://30MiNs.CoM ' | |
| - '#://30MiNs.aPp' | |
| - zapier | |
| - create | |
| - '#://zapier' | |
| - '#ash' | |
| - Xclip | |
| - 'CQG ' | |
| - '#://CQG.app' | |
| - https://cqg.com | |
| - '#://SToNex' | |
| - '#://STRaiTsFiNaNCiaL' | |
| - '#://RCM' | |
| - '#://MaRKeTsWiKi' | |
| - '#://eXCeL' | |
| - '#://SeCo' | |
| - '#://SeCoMiND' | |
| language: | |
| - en | |
| license: openrail | |
| # https://chatx.cnxt.app | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). | |
| ## Model Details | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| - **Developed by:** [#://CNXT $://THeXDesK ❌ #://THeFLTNGMMTH] | |
| - **Shared by [optional]:** [More Information Needed] | |
| - **Model type:** [More Information Needed] | |
| - **Language(s) (NLP):** [More Information Needed] | |
| - **License:** [More Information Needed] | |
| - **Finetuned from model [optional]:** [More Information Needed] | |
| ### Model Sources [optional] | |
| <!-- Provide the basic links for the model. --> | |
| - **Repository:** [More Information Needed] | |
| - **Paper [optional]:** [More Information Needed] | |
| - **Demo [optional]:** [More Information Needed] | |
| ## Uses | |
| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> | |
| ### Direct Use | |
| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> | |
| [More Information Needed] | |
| ### Downstream Use [optional] | |
| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> | |
| [More Information Needed] | |
| ### Out-of-Scope Use | |
| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> | |
| [More Information Needed] | |
| ## Bias, Risks, and Limitations | |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> | |
| [More Information Needed] | |
| ### Recommendations | |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> | |
| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. | |
| ## How to Get Started with the Model | |
| Use the code below to get started with the model. | |
| from transformers import AutoModelWithHeads | |
| model = AutoModelWithHeads.from_pretrained("CNXT/CHaTx") | |
| model.load_adapter("CNXT/CHaTx", source="hf") | |
| ## Training Details | |
| ### Training Data | |
| <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> | |
| [More Information Needed] | |
| ### Training Procedure | |
| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> | |
| #### Preprocessing [optional] | |
| [More Information Needed] | |
| #### Training Hyperparameters | |
| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> | |
| #### Speeds, Sizes, Times [optional] | |
| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> | |
| [More Information Needed] | |
| ## Evaluation | |
| <!-- This section describes the evaluation protocols and provides the results. --> | |
| ### Testing Data, Factors & Metrics | |
| #### Testing Data | |
| <!-- This should link to a Data Card if possible. --> | |
| [More Information Needed] | |
| #### Factors | |
| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> | |
| [More Information Needed] | |
| #### Metrics | |
| <!-- These are the evaluation metrics being used, ideally with a description of why. --> | |
| [More Information Needed] | |
| ### Results | |
| [More Information Needed] | |
| #### Summary | |
| ## Model Examination [optional] | |
| <!-- Relevant interpretability work for the model goes here --> | |
| [More Information Needed] | |
| ## Environmental Impact | |
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> | |
| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). | |
| - **Hardware Type:** [More Information Needed] | |
| - **Hours used:** [More Information Needed] | |
| - **Cloud Provider:** [More Information Needed] | |
| - **Compute Region:** [More Information Needed] | |
| - **Carbon Emitted:** [More Information Needed] | |
| ## Technical Specifications [optional] | |
| ### Model Architecture and Objective | |
| [More Information Needed] | |
| ### Compute Infrastructure | |
| [More Information Needed] | |
| #### Hardware | |
| [More Information Needed] | |
| #### Software | |
| [More Information Needed] | |
| ## Citation [optional] | |
| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> | |
| **BibTeX:** | |
| [More Information Needed] | |
| **APA:** | |
| [More Information Needed] | |
| ## Glossary [optional] | |
| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> | |
| [More Information Needed] | |
| ## More Information [optional] | |
| [More Information Needed] | |
| ## Model Card Authors [optional] | |
| [More Information Needed] | |
| ## Model Card Contact | |
| [More Information Needed] |