Instructions to use chandar-lab/SaAMPLIFY_350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chandar-lab/SaAMPLIFY_350M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chandar-lab/SaAMPLIFY_350M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chandar-lab/SaAMPLIFY_350M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix RMS Norm potential fp16 precision issues
Verified signatureSame as AMPLIFY family of models.921156d -
Change SaAMPLIFY API to be compatible with AMPLIFY v1
Verified signaturesrc --> input_ids pad_mask --> attention_mask84a1166
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Upload AMPLIFY
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Upload tokenizer
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Upload AMPLIFY
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initial commit
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