Instructions to use baseten/gemma-4-e2b-it-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baseten/gemma-4-e2b-it-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baseten/gemma-4-e2b-it-sequence-classification", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("baseten/gemma-4-e2b-it-sequence-classification", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("baseten/gemma-4-e2b-it-sequence-classification", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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