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:
- bb45291b52e9da191332bef57a1af027ba78a95ccb1b40a39344ade3e97dd73d
- Size of remote file:
- 263 MB
- SHA256:
- dbde531431ea30c77d6afd5b80b62bc9874285926ea302d0b50dbd65f421cbaf
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