Instructions to use beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc/resolve/main/training_args.bin
- Command line
-
hf download hf://beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/beast33/184b72aa-aa89-4145-8ab7-7a4c1f39f1dc/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 66f5e864608d9dfc30da456e933d21b322d53f2df6b76326567ef2ada8d75bfd
- Size of remote file:
- 6.78 kB
- SHA256:
- a5e95ee7780ed6f07d70834a34bd32a3204980bdc37d2cee54a4598cc28b4563
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