Instructions to use Mukundhan32/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukundhan32/testmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mukundhan32/testmodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mukundhan32/testmodel") model = AutoModelForSequenceClassification.from_pretrained("Mukundhan32/testmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from Mukundhan32/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 690 Bytes
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https://huggingface.co/Mukundhan32/testmodel/resolve/main/gitattributes
- Command line
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hf download hf://Mukundhan32/testmodel/gitattributes
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curl -L -o gitattributes https://huggingface.co/Mukundhan32/testmodel/resolve/main/gitattributes
690 Bytes
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