Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ncats/EpiClassify4GARD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncats/EpiClassify4GARD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ncats/EpiClassify4GARD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ncats/EpiClassify4GARD") model = AutoModelForSequenceClassification.from_pretrained("ncats/EpiClassify4GARD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 850d75d69360fe4ce47cd4327cf93ecfa8e2dad01ffd39217c78a06344b8c232
- Size of remote file:
- 2.86 kB
- SHA256:
- cd5ef3d3240ea382e90bbf72d10ad1805be2c92cc3a144fbacd4e6d0683ce3d8
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