Instructions to use vadis/bart_scitldr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadis/bart_scitldr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vadis/bart_scitldr") model = AutoModelForSeq2SeqLM.from_pretrained("vadis/bart_scitldr") - Notebooks
- Google Colab
- Kaggle
Quick Links
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Check out the documentation for more information.
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large")
model = AutoModelForSeq2SeqLM.from_pretrained("vadis/bart_scitldr", use_auth_token=True)
text = "Abstract of a paper."
batch = tok(text, return_tensors="pt")
generated_ids = model.generate(batch["input_ids"])
print(tok.batch_decode(generated_ids, skip_special_tokens=True))
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vadis/bart_scitldr") model = AutoModelForSeq2SeqLM.from_pretrained("vadis/bart_scitldr")