Instructions to use bjoernp/opt2.7B-de-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bjoernp/opt2.7B-de-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bjoernp/opt2.7B-de-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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metrics:
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- perplexity
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library_name: transformers
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pipeline_tag: text-generation
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---
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# OPT-2.7B finetuned on OSCAR with LoRA
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This model was finetuned on 80000 examples from the german subset of the oscar corpus. See [the git repo](https://github.com/bjoernpl/llm_finetuning_de)
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metrics:
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- perplexity
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library_name: transformers
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---
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# OPT-2.7B finetuned on OSCAR with LoRA
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This model was finetuned on 80000 examples from the german subset of the oscar corpus. See [the git repo](https://github.com/bjoernpl/llm_finetuning_de)
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