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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe071523bf0cdfc714ada21b32b3e219560ba5a4cbf9cabd4a29b462aca8f86e
- Size of remote file:
- 4.54 kB
- SHA256:
- 59e033f99deab2e59b6ae48a3eb83b83b38c5f079f79c634ed9c2a69a8363807
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