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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from okho0653/Bio_ClinicalBERT-zero-shot: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/okho0653/Bio_ClinicalBERT-zero-shot/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://okho0653/Bio_ClinicalBERT-zero-shot/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/okho0653/Bio_ClinicalBERT-zero-shot/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- b4a9f4794e6396cf4d451a58921cbea6ddea418ddf5d60ffcdd5f200d6328263
- Size of remote file:
- 433 MB
- SHA256:
- 3f9135b241c0759d1d82ce539b7e02cf8ea4fdd22b0cc6c7e31a08f67b7afba0
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