Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use joniponi/discharge-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joniponi/discharge-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joniponi/discharge-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joniponi/discharge-classifier") model = AutoModelForSequenceClassification.from_pretrained("joniponi/discharge-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joniponi/discharge-classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/joniponi/discharge-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://joniponi/discharge-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joniponi/discharge-classifier/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 76269ef5878d187ed0f8e476e1486de7d2f978f578f4fcac799f0f5ba1264e85
- Size of remote file:
- 268 MB
- SHA256:
- b89b47133377f959225989d6acb65068e5c7f3f98849634181d6780ac79b59d2
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