Instructions to use knatware/knat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use knatware/knat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sshleifer/tiny-gpt2") model = PeftModel.from_pretrained(base_model, "knatware/knat") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj"
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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 sha256:60d95b10b6e140a9626a7058d5038528f2ff80148dc4569b881db56052046509
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size 40
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