Instructions to use beckra/GermanLanguageLearningAssistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beckra/GermanLanguageLearningAssistant with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beckra/GermanLanguageLearningAssistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from beckra/GermanLanguageLearningAssistant: direct link, hf CLI and curl.
- Browser
- Download file 577 Bytes
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https://huggingface.co/beckra/GermanLanguageLearningAssistant/resolve/main/README.md
- Command line
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hf download hf://beckra/GermanLanguageLearningAssistant/README.md
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curl -L -o README.md https://huggingface.co/beckra/GermanLanguageLearningAssistant/resolve/main/README.md
577 Bytes
metadata
language:
- en
- de
license: llama3
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
base_model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
German Language Training Assistant
- Finetuned from model : VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
