Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/TestForColab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/TestForColab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/TestForColab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/TestForColab") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/TestForColab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07be2c41ed9f57bdb42a441b76253aacaa53b0c5c9f2c428c9339bc806161438
- Size of remote file:
- 17.5 MB
- SHA256:
- 84bbb1f5f43543184055482650a56090b5d01f9aee451d7f0606d196844e96af
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