Instructions to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/Llama-3-ELYZA-JP-8B") model = PeftModel.from_pretrained(base_model, "surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/resolve/main/training_args.bin
- Command line
-
hf download hf://surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/surakarteh/c59b5744-9a83-446c-a62b-e03e3146f75b/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f4ab99de57b6fd2eaff5b4774a19ad06f5a27dc92c08969a0cdfe82d96f57b77
- Size of remote file:
- 6.78 kB
- SHA256:
- 277ed80a7edd6d7ffa712d5c545710b4d8d8bb1b86c1ead3569cd1770af40036
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