Instructions to use Harsh202/opt-1.3b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harsh202/opt-1.3b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Harsh202/opt-1.3b-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +1 -0
- adapter_model.safetensors +2 -2
adapter_config.json
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"revision": null,
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"target_modules": [
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"q_proj",
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"ecoc_head",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:69265330cbc55c534fb4437eec8628981507863b186a79fb153ebd750dfb576a
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size 12728784
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