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 training_args.bin from aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/854d122ac094919015b0be6b319b7c067c1f35b2/training_args.bin
- Command line
-
hf download hf://aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c@854d122ac094919015b0be6b319b7c067c1f35b2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/854d122ac094919015b0be6b319b7c067c1f35b2/training_args.bin
6.78 kB
- Xet hash:
- f67670fbc1671beb9fa5dd27a789f137df46001fe5e835ffb69acd939db9b48e
- Size of remote file:
- 6.78 kB
- SHA256:
- 641e4f342a9549a2f6469d23689521bf4d8a67d837f0875772ca74ba76586c2c
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