Instructions to use gavincyi/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gavincyi/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gavincyi/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gavincyi/test_model") model = AutoModelForSequenceClassification.from_pretrained("gavincyi/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b0c5fa8d918b692b4f394bc05ca43c326b035621bddfd425bbf251b92f143d3
- Size of remote file:
- 433 MB
- SHA256:
- 08566a825c0ff6d184ac47d299e53b718aff4311345bffbd342b96bff409c1e8
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