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:
- cbc5c18f9a72894e9cd69782226c3d157316bff20542834a62c28a332e3e0eaf
- Size of remote file:
- 438 MB
- SHA256:
- 75deda2249d22a69258377a6020419a4f46a43d3814e37c3f8c64d94611e6179
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