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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c827c098c96a219b2da3fb2e8506d9ba2f0544c4c68a041742689f77ed25726f
- Size of remote file:
- 4.48 GB
- SHA256:
- 677834d1e2bf50b264496793d21721b5ffe6afa1c33a6d0bcda0b3898a6aaa8c
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