Instructions to use machinelearningzuu/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="machinelearningzuu/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("machinelearningzuu/results") model = AutoModelForSequenceClassification.from_pretrained("machinelearningzuu/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c54b88daed76b0621b3f7b635b7a238716126c2c201bb7035143e473524ec0c5
- Size of remote file:
- 4.73 kB
- SHA256:
- 9214e12ae519a08b02e28bc0763a91e855c2dc1ad779c94d5914f53141f8ec3d
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