Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dhruvil237/userutterance_classification_ver1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvil237/userutterance_classification_ver1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhruvil237/userutterance_classification_ver1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhruvil237/userutterance_classification_ver1") model = AutoModelForSequenceClassification.from_pretrained("dhruvil237/userutterance_classification_ver1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dhruvil237/userutterance_classification_ver1: direct link, hf CLI and curl.
- Browser
- Download file 738 MB
-
https://huggingface.co/dhruvil237/userutterance_classification_ver1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dhruvil237/userutterance_classification_ver1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dhruvil237/userutterance_classification_ver1/resolve/main/pytorch_model.bin
738 MB
- Xet hash:
- 56aa014ad54d8f8516d36f1cfc10b821983870a3c65bbced9ed2724c33ab10eb
- Size of remote file:
- 738 MB
- SHA256:
- 476520d11eb6788cc6775123640be412ca6ad09bddb895c91fe9b1f89e396b49
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