Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/COVID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/COVID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/COVID")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/COVID") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/COVID", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Raychanan/COVID: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Raychanan/COVID/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Raychanan/COVID/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Raychanan/COVID/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- f8a5ea83c0fbac1f0e6bb715c046cce3c14ae47ff482f1c461cdee3f0420efeb
- Size of remote file:
- 409 MB
- SHA256:
- e6d9caacbdcfb1257642c8c088a171a2c0c325b2dfa737ac5fcb745044fd4a9c
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