Instructions to use alinet/pubmed-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alinet/pubmed-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alinet/pubmed-bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alinet/pubmed-bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("alinet/pubmed-bart-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e42b8521f8619fd762f2c0a52cce42372cf527d9e6ea69ac34bb80b08ec50d73
- Size of remote file:
- 558 MB
- SHA256:
- 65335ecb9bc5381d5ef4a6c9c6aa92bcb6a758e4443ca88d92976a669204c2fa
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