Instructions to use JulianS/bart-base-finetuned-summscreen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulianS/bart-base-finetuned-summscreen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JulianS/bart-base-finetuned-summscreen") model = AutoModelForSeq2SeqLM.from_pretrained("JulianS/bart-base-finetuned-summscreen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from JulianS/bart-base-finetuned-summscreen: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
-
https://huggingface.co/JulianS/bart-base-finetuned-summscreen/resolve/main/generation_config.json
- Command line
-
hf download hf://JulianS/bart-base-finetuned-summscreen/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/JulianS/bart-base-finetuned-summscreen/resolve/main/generation_config.json
358 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": 100, | |
| "min_length": 10, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.26.0" | |
| } | |