Instructions to use switlydev/MyMiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use switlydev/MyMiniLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("switlydev/MyMiniLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Unsloth Model Card
Browse files
README.md
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---
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base_model: unsloth/qwen2.5-
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tags:
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- text-generation-inference
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- transformers
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- **Developed by:** switlydev
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/qwen2.5-
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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---
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base_model: unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- **Developed by:** switlydev
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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