Instructions to use aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c: direct link, hf CLI and curl.
- Browser
- Download file 27.2 MB
-
https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/main/last-checkpoint/adapter_model.safetensors
27.2 MB
- Xet hash:
- ebb478b4c36795eda31a64fc43d0ebd523d67764b405e2f432da66a568234924
- Size of remote file:
- 27.2 MB
- SHA256:
- 4b224d32483528881f97c13d1860cd75c7516febfaff865d84d60f2c69889f42
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