Instructions to use eeeebbb2/383c6361-b6d3-4b66-abe1-124c62756381 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/383c6361-b6d3-4b66-abe1-124c62756381 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "eeeebbb2/383c6361-b6d3-4b66-abe1-124c62756381") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f810d8115e9da12587eaa1868f132e35592d8c0d1ea52cd5fbced94503bd3e1e
- Size of remote file:
- 6.84 kB
- SHA256:
- 76cc5a6ac5e0f3edb0ef705f36206558ce7f7be7adeb3f91b44892144c0c8f77
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