Instructions to use alphablyat/out1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alphablyat/out1 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/out1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alphablyat/out1: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/alphablyat/out1/resolve/main/training_args.bin
- Command line
-
hf download hf://alphablyat/out1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alphablyat/out1/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 745f538316fca4a92c25832ee3c5afdd9a3ebad5b631e4ac8f742b96e5a8b469
- Size of remote file:
- 5.11 kB
- SHA256:
- 3a80dc41d07ca280640ec8cd0ff6e41132b34a7f953145917e171336422f81d5
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