Instructions to use namednil/STEP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namednil/STEP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="namednil/STEP", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("namednil/STEP", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- generation_config.json +7 -0
- pytorch_model.bin +3 -0
generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.38.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:81b4cb710ab07381fec17e6e356da27ddd6a000b1bfe2d3e85bb9f99dfc8654a
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size 953176658
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