Instructions to use kangaroo927/test_auto_protocol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kangaroo927/test_auto_protocol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kangaroo927/test_auto_protocol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kangaroo927/test_auto_protocol") model = AutoModelForSequenceClassification.from_pretrained("kangaroo927/test_auto_protocol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 681911da1adfc6068b3a7e13af2d5c4b009a548b5fe92c9833281bf0a2c5fd57
- Size of remote file:
- 3.18 kB
- SHA256:
- 2a7a7cb35a6ea85b28e09a7a1a1095589753bfc414bd46a4c741614b4ab8053b
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