Instructions to use robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3/resolve/main/training_args.bin
- Command line
-
hf download hf://robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/robiulawaldev/a53d87dd-9d44-4aae-a2b8-3f1fc74920c3/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 22653a04a3401cae7840f4ab82bafb6ae3c53c150dd65a5c27942f4a19df533b
- Size of remote file:
- 6.78 kB
- SHA256:
- 76dbea609a835f50f5c5a24d0c4f52919d86f280a871caaa21047a622498e6fa
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