Instructions to use TheophileCA/OPL_Trained_Starcoder_1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheophileCA/OPL_Trained_Starcoder_1B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "TheophileCA/OPL_Trained_Starcoder_1B") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TheophileCA/OPL_Trained_Starcoder_1B: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/TheophileCA/OPL_Trained_Starcoder_1B/resolve/main/training_args.bin
- Command line
-
hf download hf://TheophileCA/OPL_Trained_Starcoder_1B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheophileCA/OPL_Trained_Starcoder_1B/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- b22316f39c55e8a7073f590a4287430eec09808aaf3d05e1366de75a436613cb
- Size of remote file:
- 5.11 kB
- SHA256:
- f7cee03c26ae9dd951228a34ae07716558cf84b9944d58d69f0d0814b5ccd1f9
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