Instructions to use fwtan/gemma-2b-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwtan/gemma-2b-converted with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwtan/gemma-2b-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5806fac4972f262f84df45156610e7321298a5fa94bf94fdfcc3fcaeaf124bc
- Size of remote file:
- 3.73 MB
- SHA256:
- 221e01c22e6378fde930bd3f6411bb829594c50ab5d60ace85307e7145ec85c7
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