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 training_args.bin from Raychanan/COVID_RandomOver: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Raychanan/COVID_RandomOver/resolve/main/training_args.bin
- Command line
-
hf download hf://Raychanan/COVID_RandomOver/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Raychanan/COVID_RandomOver/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 0ea54325b753bb3720088c7c1e542d2b378912b22b8d2d0ce39e19c5a4f3ea24
- Size of remote file:
- 3.06 kB
- SHA256:
- 242184bb26d102540a6fa9ae81e158aa6c14a570ad594498e7774d544c459b9b
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