Instructions to use rreit/starcoder-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/starcoder-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder") model = PeftModel.from_pretrained(base_model, "rreit/starcoder-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rreit/starcoder-StaproCoder: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/rreit/starcoder-StaproCoder/resolve/main/training_args.bin
- Command line
-
hf download hf://rreit/starcoder-StaproCoder/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rreit/starcoder-StaproCoder/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- f5ae6df046c6ad75d3a855f66cdaab71a967df85788f45482248c7a64fbdc2ce
- Size of remote file:
- 4.98 kB
- SHA256:
- 192a52ea9b4bca32f03b66b56113758a0c9a8e81a51abc33f91db2e3335dbfd8
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