Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use okho0653/Bio_ClinicalBERT-zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okho0653/Bio_ClinicalBERT-zero-shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="okho0653/Bio_ClinicalBERT-zero-shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("okho0653/Bio_ClinicalBERT-zero-shot") model = AutoModelForSequenceClassification.from_pretrained("okho0653/Bio_ClinicalBERT-zero-shot") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e07e37fd18f3841dfed19e5fb2d4e5fb62d9b75b4f6441c95ba442b5fdaae62
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size 433274952
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