Text Generation
Transformers
Safetensors
gpt2
Danish
Mixed Tokenization
CerebrasGPT
text-generation-inference
Instructions to use RyeAI/DA-MIXED-CEREBRAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/DA-MIXED-CEREBRAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RyeAI/DA-MIXED-CEREBRAS")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RyeAI/DA-MIXED-CEREBRAS") model = AutoModelForCausalLM.from_pretrained("RyeAI/DA-MIXED-CEREBRAS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use RyeAI/DA-MIXED-CEREBRAS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RyeAI/DA-MIXED-CEREBRAS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyeAI/DA-MIXED-CEREBRAS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/RyeAI/DA-MIXED-CEREBRAS
- SGLang
How to use RyeAI/DA-MIXED-CEREBRAS with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RyeAI/DA-MIXED-CEREBRAS" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyeAI/DA-MIXED-CEREBRAS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RyeAI/DA-MIXED-CEREBRAS" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyeAI/DA-MIXED-CEREBRAS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use RyeAI/DA-MIXED-CEREBRAS with Docker Model Runner:
docker model run hf.co/RyeAI/DA-MIXED-CEREBRAS
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Download README.md from RyeAI/DA-MIXED-CEREBRAS: direct link, hf CLI and curl.
- Browser
- Download file 939 Bytes
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https://huggingface.co/RyeAI/DA-MIXED-CEREBRAS/resolve/main/README.md
- Command line
-
hf download hf://RyeAI/DA-MIXED-CEREBRAS/README.md
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curl -L -o README.md https://huggingface.co/RyeAI/DA-MIXED-CEREBRAS/resolve/main/README.md
939 Bytes
metadata
library_name: transformers
tags:
- Danish
- Mixed Tokenization
- CerebrasGPT
_______ ___ .___ ___. ______ .______ .______ __ __
| \ / \ | \/ | / __ \ | _ \ | _ \ | | | |
| .--. | / ^ \ | \ / | | | | | | |_) | | |_) | | |__| |
| | | | / /_\ \ | |\/| | | | | | | / | ___/ | __ |
| '--' | / _____ \ | | | | | `--' | | |\ \----.| | | | | |
|_______/ /__/ \__\ |__| |__| \______/ | _| `._____|| _| |__| |__|
DA-MIXED-CEREBRAS
This is an experimental Danish language model fine-tuned on a combination of tokenizers, including both morphological and BPE approaches. Built on the CerebrasGPT-111M architecture, it explores how mixed tokenization strategies affect Danish text generation.