Instructions to use ml4pubmed/biobert-v1.1_pub_section with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml4pubmed/biobert-v1.1_pub_section with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml4pubmed/biobert-v1.1_pub_section")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml4pubmed/biobert-v1.1_pub_section") model = AutoModelForSequenceClassification.from_pretrained("ml4pubmed/biobert-v1.1_pub_section", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b02045106119b41ea769416752005289fa7a35c955248cff4959ba862d35818
- Size of remote file:
- 433 MB
- SHA256:
- e156c36faead5894c92b0a6be4b38413d358482af780e4cf23151821e6a30c3c
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