Instructions to use alphablyat/out_try_new1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alphablyat/out_try_new1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "alphablyat/out_try_new1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alphablyat/out_try_new1: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/alphablyat/out_try_new1/resolve/main/training_args.bin
- Command line
-
hf download hf://alphablyat/out_try_new1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alphablyat/out_try_new1/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- dc0a98a24bc211c680a5c553c3bfc3282a6a46e1dfd9588b8b7472d4c017b3a9
- Size of remote file:
- 5.18 kB
- SHA256:
- 90c067cb825e6685a710eecac2d2d0151d06e5d98da4f0803cb66afa8be39064
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