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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1f3208c76ff72a9f6dd2ac2751f9dae66f52c71ee0ba366e0265f825827e786
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size 738181804
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