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:
- 1fdd3a6a353a144811a44d5d052317c9d1e0b1ac194f06a93402eb3ecbc86878
- Size of remote file:
- 10.2 GB
- SHA256:
- fbe019c39e43a59531ad8cc07f6cfc5478dfef94d3e3d929836b7be6431dbe9c
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