Instructions to use dudleymax/ludwig-llama2python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dudleymax/ludwig-llama2python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "dudleymax/ludwig-llama2python") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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## Citation [optional]
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```bibtex
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@misc{Molino2019,
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author = {Piero Molino and Yaroslav Dudin and Sai Sumanth Miryala},
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title = {Ludwig: a type-based declarative deep learning toolbox},
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year = {2019},
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eprint = {arXiv:1909.07930},
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}
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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