Instructions to use Rocketknight1/callback_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/callback_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rocketknight1/callback_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rocketknight1/callback_test") model = AutoModelForSequenceClassification.from_pretrained("Rocketknight1/callback_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48b3509f626a9c2035958e9c1e0840c6b62fddc6ab468ca19705411c1e10f176
- Size of remote file:
- 263 MB
- SHA256:
- c96628b2583f5b81bf5c230ad191e3d4752bdd830a9182e3dfd5523cffb539e6
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