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:
- 8660a25d053fe5b317c51f19170de00168d80460a9ddf2e6083c13ffd3a0f188
- Size of remote file:
- 2.24 GB
- SHA256:
- 3052164a34ec86bf320bb5bff1e84e32af21a2148ea04d9f5a9e290c1adacce4
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