Instructions to use michelleli99/test_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michelleli99/test_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michelleli99/test_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michelleli99/test_classifier") model = AutoModelForSequenceClassification.from_pretrained("michelleli99/test_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4105486c7f9bdbe95537a8d13bfdb8fb8215b382f740a20add29db15b8989229
- Size of remote file:
- 329 MB
- SHA256:
- ea69b6e48024208cd0e06870a7b57fba99f12624a527b544774cf9562c6e455d
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