Instructions to use wesin/chemprot-pubmedbert-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesin/chemprot-pubmedbert-relation-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wesin/chemprot-pubmedbert-relation-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wesin/chemprot-pubmedbert-relation-extraction") model = AutoModelForSequenceClassification.from_pretrained("wesin/chemprot-pubmedbert-relation-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab2fc7d553f45a8ab0ed5d00697abd8a027cd47255ac6619ef9030d92e6d9499
- Size of remote file:
- 5.84 kB
- SHA256:
- f75fc9fdc0b0b3ba56c00bba0c691a622dae17185eaa58d18b25e514542f527a
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