Instructions to use wesley7137/tiny_llama_shopper_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wesley7137/tiny_llama_shopper_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "wesley7137/tiny_llama_shopper_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b56887adbaaefdc7895e0472715ed3923f36388db95dbdc806f090a94fb250ee
- Size of remote file:
- 1.06 kB
- SHA256:
- cb54cffa206db0c12f0795a9e4804d798628be7cb6d50b66106d7441bc5abccf
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