Instructions to use jlpan/starcoder-java2py-program2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-java2py-program2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder") model = PeftModel.from_pretrained(base_model, "jlpan/starcoder-java2py-program2") - Notebooks
- Google Colab
- Kaggle
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Download README.md from jlpan/starcoder-java2py-program2: direct link, hf CLI and curl.
- Browser
- Download file 219 Bytes
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https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/2a7e938d9c426542a0f2abbee0a4ae0ccd77162d/README.md
- Command line
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hf download hf://jlpan/starcoder-java2py-program2@2a7e938d9c426542a0f2abbee0a4ae0ccd77162d/README.md
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curl -L -o README.md https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/2a7e938d9c426542a0f2abbee0a4ae0ccd77162d/README.md
219 Bytes
| library_name: peft | |
| ## Training procedure | |
| ### Framework versions | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |
| - PEFT 0.5.0.dev0 | |