Instructions to use dipesh/Intent-Classification-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipesh/Intent-Classification-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipesh/Intent-Classification-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipesh/Intent-Classification-small") model = AutoModelForSequenceClassification.from_pretrained("dipesh/Intent-Classification-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from dipesh/Intent-Classification-small: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/dipesh/Intent-Classification-small/resolve/main/.gitignore
- Command line
-
hf download hf://dipesh/Intent-Classification-small/.gitignore
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curl -L -o .gitignore https://huggingface.co/dipesh/Intent-Classification-small/resolve/main/.gitignore
13 Bytes
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