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
Update config.json
Browse files- config.json +2 -2
config.json
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{
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"architectures": [
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"
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],
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"audio_config": {
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"_name_or_path": "",
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},
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"audio_token_id": 258881,
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"auto_map": {
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"AutoModelForSequenceClassification": "modeling_gemma4_sequence.
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},
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"boa_token_id": 256000,
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"boi_token_id": 255999,
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{
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"architectures": [
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"Gemma4ForSequenceClassification"
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],
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"audio_config": {
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"_name_or_path": "",
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},
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"audio_token_id": 258881,
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"auto_map": {
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"AutoModelForSequenceClassification": "modeling_gemma4_sequence.Gemma4ForSequenceClassification"
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},
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"boa_token_id": 256000,
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"boi_token_id": 255999,
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