Instructions to use sagteam/pharm-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagteam/pharm-relation-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagteam/pharm-relation-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagteam/pharm-relation-extraction") model = AutoModelForSequenceClassification.from_pretrained("sagteam/pharm-relation-extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b1f487506d774d38665666e65caa3074fcaa3dbbf9ac75ccb664c26d314340
- Size of remote file:
- 623 Bytes
- SHA256:
- e92707889023649ef63ca2bca59171736ad190df5988313a12ae6b03050a47c5
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