Instructions to use mmoradi/Robust-Biomed-RoBERTa-RelationClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmoradi/Robust-Biomed-RoBERTa-RelationClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mmoradi/Robust-Biomed-RoBERTa-RelationClassification")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mmoradi/Robust-Biomed-RoBERTa-RelationClassification") model = AutoModel.from_pretrained("mmoradi/Robust-Biomed-RoBERTa-RelationClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload flax_model.msgpack with git-lfs
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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