Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Ftmhd/my_DeBERTa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ftmhd/my_DeBERTa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ftmhd/my_DeBERTa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ftmhd/my_DeBERTa_model") model = AutoModelForSequenceClassification.from_pretrained("Ftmhd/my_DeBERTa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c495de23f92bda01d1610dfd9944a09fcfa20860ce8fc2da26fec89314ab5ccd
- Size of remote file:
- 568 MB
- SHA256:
- 1640d22730aeeadfdeee66a255d8e2c7b3ab7fd215c40a194713cbe7ad38e300
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