Instructions to use prithivMLmods/Ares-Bart-Cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Ares-Bart-Cnn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Ares-Bart-Cnn") model = AutoModelForSeq2SeqLM.from_pretrained("prithivMLmods/Ares-Bart-Cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from prithivMLmods/Ares-Bart-Cnn: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/prithivMLmods/Ares-Bart-Cnn/resolve/main/generation_config.json
- Command line
-
hf download hf://prithivMLmods/Ares-Bart-Cnn/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/prithivMLmods/Ares-Bart-Cnn/resolve/main/generation_config.json
379 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 142, | |
| "min_length": 56, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |