Instructions to use eeeebbb2/834e6197-8fa5-41de-8cb3-e29b40b333d5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/834e6197-8fa5-41de-8cb3-e29b40b333d5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/834e6197-8fa5-41de-8cb3-e29b40b333d5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d3bbaa7634e371ac2ea16ea9ded2259fe0fef6158b94b61837d0d8157730c80
- Size of remote file:
- 181 MB
- SHA256:
- 9c82c3e7a448b43b39b3d48ba300f7bbf63d69e459ab42107bc4ac45b7f366b7
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