Instructions to use semantixai/lloro-gemma-2b-think-v2-lora-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semantixai/lloro-gemma-2b-think-v2-lora-text with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("semantixai/lloro-gemma-2b-think-v2-lora-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 3f2eed2a374197199469d2e49cc8bb89b0337f2bb286051a9c6f23bcefa4446d
- Size of remote file:
- 193 MB
- SHA256:
- 02b0e5ccb59379be8a3597d0ba8c525ddd9dbaca7029e068b502911420153f09
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