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:
- 3334069cf61b26eacc2c5f59b2ce83fbff5bc2d3b20687f62259326baf16b117
- Size of remote file:
- 137 Bytes
- SHA256:
- af2d463e4dc9c84e9eb54a0cc2734ec1b4b12215a17c533d0360147c33a06982
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