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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/COVID") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/COVID") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cd60f3177dc398738525f4f4735886e8b3bdb3513dfc773f69aa5957e099169
- Size of remote file:
- 3.06 kB
- SHA256:
- 461fbf3a230e851bc6d3063911eea4b97cad13db9cade1121202eca5bb21ea29
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