Instructions to use rohithbojja/gemma2-9b-intent-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohithbojja/gemma2-9b-intent-lora-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rohithbojja/gemma2-9b-intent-lora-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- a5069f49a802f5e6431ecae753f1be5819e01d9019edf2c553f5276e0ff78f9f
- Size of remote file:
- 216 MB
- SHA256:
- 31c7ca1010bf0759fb187f2303c016219ed01373aae93aa06fd13dbbd0761711
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