Instructions to use laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0468941e8d4878efa858013070114fcc86698c46a474bb79a79f70882915b0b0
- Size of remote file:
- 6.78 kB
- SHA256:
- ece704c98ee0c02a473d015d70819979abcb0db323fc9349dc30588d71803a68
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