Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Zainab984/model_INT03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zainab984/model_INT03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zainab984/model_INT03")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zainab984/model_INT03") model = AutoModelForSequenceClassification.from_pretrained("Zainab984/model_INT03") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5c717d750e6070dadc7f25591fe5207380d8bd5fce078f21e1cdb685fade20
- Size of remote file:
- 4.54 kB
- SHA256:
- 8b6e1b7a5f5656f01004f8a080a56a0f7365531f8ec20090b3e851b2a6301357
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