Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sandhya2002/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandhya2002/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandhya2002/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandhya2002/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("Sandhya2002/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95422a8d99b0c4e95443c7773251346ffb7278c8107db7f8ba051d8a99c2a39f
- Size of remote file:
- 5.37 kB
- SHA256:
- 25bfd0f09b61f5333c16324190e0a64c2248426a044bea0e79404dea15c9773d
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