Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dhruvil237/userutterance_classification_verplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvil237/userutterance_classification_verplus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhruvil237/userutterance_classification_verplus")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhruvil237/userutterance_classification_verplus") model = AutoModelForSequenceClassification.from_pretrained("dhruvil237/userutterance_classification_verplus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c350d8f3ffa3c0984a9908607d7db57a08fd2d2cc1bf1c9d32dbb5a76dfdb5ec
- Size of remote file:
- 738 MB
- SHA256:
- 57b32e02fd36e5649b70e024067adb4f0541159601add7b75d791c3027d42dae
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