Instructions to use nblinh/a2d98727-e288-4d54-944b-5311a07b14fd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh/a2d98727-e288-4d54-944b-5311a07b14fd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "nblinh/a2d98727-e288-4d54-944b-5311a07b14fd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7769342cac4cffe0abf2eff2aa6f750d12240c44bc88b65bf860cdc2ba48fd7f
- Size of remote file:
- 6.78 kB
- SHA256:
- 0baea9912d3aa81d0849ac4d03a00c25fc1eca7be9e5444ed06db23898ead7ce
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