Instructions to use aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506 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, "aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506/resolve/759a12e3bf1deebdad734e9b808a204ab6c012e3/training_args.bin
- Command line
-
hf download hf://aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506@759a12e3bf1deebdad734e9b808a204ab6c012e3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506/resolve/759a12e3bf1deebdad734e9b808a204ab6c012e3/training_args.bin
6.84 kB
- Xet hash:
- 1babfd3ddb2f1f7326f3db9dc5304924d64225aa2bc127d051f6d73831e78c15
- Size of remote file:
- 6.84 kB
- SHA256:
- 8ac5e814b6f476c59af9dea4048fa5cd64814de665a8d54eb8ac17112d5f45a9
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