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
File size: 577 Bytes
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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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |