Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Zainab984/TestForColab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zainab984/TestForColab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zainab984/TestForColab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zainab984/TestForColab") model = AutoModelForSequenceClassification.from_pretrained("Zainab984/TestForColab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c05e6688e543870682bde90e57237b7b9e83b70d96db107651e710366fc4e5db
- Size of remote file:
- 4.54 kB
- SHA256:
- 787caa76ff0161bc0178fe754267fa1d76572c1bea6db96604b44b14d4155879
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