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
File size: 274 Bytes
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"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"
}
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