Instructions to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8") model = PeftModel.from_pretrained(base_model, "error577/47615d62-b7f3-4efd-b567-61a937215b9f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd850df2b3279c240f7c3197da3a61be594213d8bf5e9e349b0deaa27ea61d43
- Size of remote file:
- 6.78 kB
- SHA256:
- 0f4b5f85c184b72acd9ae8d5a4ec902a544b8ba20b168c65968aa4f72a5db543
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