Instructions to use pdp19/ipl_match_winner_predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pdp19/ipl_match_winner_predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pdp19/ipl_match_winner_predictor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pdp19/ipl_match_winner_predictor") model = AutoModelForSequenceClassification.from_pretrained("pdp19/ipl_match_winner_predictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ExampleUses.ipynb from pdp19/ipl_match_winner_predictor: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
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https://huggingface.co/pdp19/ipl_match_winner_predictor/resolve/main/ExampleUses.ipynb
- Command line
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hf download hf://pdp19/ipl_match_winner_predictor/ExampleUses.ipynb
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curl -L -o ExampleUses.ipynb https://huggingface.co/pdp19/ipl_match_winner_predictor/resolve/main/ExampleUses.ipynb
4.09 kB