Instructions to use psxjp5/bart-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/bart-large-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/bart-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/bart-large-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from psxjp5/bart-large-xsum: direct link, hf CLI and curl.
- Browser
- Download file 274 Bytes
-
https://huggingface.co/psxjp5/bart-large-xsum/resolve/main/generation_config.json
- Command line
-
hf download hf://psxjp5/bart-large-xsum/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/psxjp5/bart-large-xsum/resolve/main/generation_config.json
274 Bytes
| { | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "max_length": 62, | |
| "min_length": 11, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 6, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.30.2" | |
| } | |