Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use pritamdeka/PubMedBERT-MNLI-MedNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pritamdeka/PubMedBERT-MNLI-MedNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pritamdeka/PubMedBERT-MNLI-MedNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pritamdeka/PubMedBERT-MNLI-MedNLI") model = AutoModelForSequenceClassification.from_pretrained("pritamdeka/PubMedBERT-MNLI-MedNLI") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
9516b87
1
Parent(s): 52f25c5
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (8dd6d8fa97c61dada487a6a6266e69a016e35649)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a1322282c824743e07f8bf7df2c145dd18cc26c692e75d29aa2e4dbfceaf3ed
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size 437965908
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