Instructions to use SorrySalmon/summary_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SorrySalmon/summary_train with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SorrySalmon/summary_train") model = AutoModelForSeq2SeqLM.from_pretrained("SorrySalmon/summary_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from SorrySalmon/summary_train: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/SorrySalmon/summary_train/resolve/main/generation_config.json
- Command line
-
hf download hf://SorrySalmon/summary_train/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/SorrySalmon/summary_train/resolve/main/generation_config.json
118 Bytes
| { | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.47.0" | |
| } | |