Instructions to use error577/65665304-fb0e-4e82-8266-aba26a9f6ca0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/65665304-fb0e-4e82-8266-aba26a9f6ca0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-medium-4k-instruct") model = PeftModel.from_pretrained(base_model, "error577/65665304-fb0e-4e82-8266-aba26a9f6ca0") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from error577/65665304-fb0e-4e82-8266-aba26a9f6ca0: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 794229d7a4cf0f5ac877718029c788ea449bb19d39651c5e0ea4df166b2a74e6
- Size of remote file:
- 6.78 kB
- SHA256:
- 0fc7e4e219a26c3cd558626dbbc9b232ef6975063a475e31bb21912cbfcd6e2b
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