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
File size: 134 Bytes
750be8c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:65335ecb9bc5381d5ef4a6c9c6aa92bcb6a758e4443ca88d92976a669204c2fa
size 557891914
|