Instructions to use trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f011455083e2036513e699c391f8bed01efe1c99aeb2acb2269323ec2047f28
- Size of remote file:
- 6.78 kB
- SHA256:
- dd3324e68a640317f6e7a622f52444fd32201fbe9cc02de0a0e53214aab7b268
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