Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/COVID_RandomOver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/COVID_RandomOver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/COVID_RandomOver")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/COVID_RandomOver") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/COVID_RandomOver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Raychanan/COVID_RandomOver: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Raychanan/COVID_RandomOver/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Raychanan/COVID_RandomOver/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Raychanan/COVID_RandomOver/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 1779925699c4c1216127ddd74a6d1540855112291f9d7c46a3209cd8cc1d7da7
- Size of remote file:
- 409 MB
- SHA256:
- 200b0662443cb0eec638cc6772458211e0fa3555ae26bd35c061a08f9130dbcd
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