Instructions to use m8128/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m8128/summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("m8128/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("m8128/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from m8128/summarization: direct link, hf CLI and curl.
- Browser
- Download file 294 Bytes
-
https://huggingface.co/m8128/summarization/resolve/main/generation_config.json
- Command line
-
hf download hf://m8128/summarization/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/m8128/summarization/resolve/main/generation_config.json
294 Bytes
| { | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 512, | |
| "min_length": 32, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 5, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.41.2", | |
| "use_cache": false | |
| } | |