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:
- 0d1856e635a7f71a39729d878caf42e0ffb047a0fb3844067944738ac0a4b718
- Size of remote file:
- 1.11 kB
- SHA256:
- acb0c767881929483d11af25020fc4744c474eed09101a5752d4d443a13d3e55
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