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 training_args.bin from dhruvil237/userutterance_classification_ver1: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/dhruvil237/userutterance_classification_ver1/resolve/main/training_args.bin
- Command line
-
hf download hf://dhruvil237/userutterance_classification_ver1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dhruvil237/userutterance_classification_ver1/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 60221977948e833f040b8c0f2fdeef3348808aea0617c08f53264419ec3bffef
- Size of remote file:
- 3.58 kB
- SHA256:
- b1407074c0d90f881389aa38d27ba9f4a2647e9ef110617f342ed7f4f4cecd6b
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