Instructions to use ftnext/gemma-2-2b-elyza-tasks-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ftnext/gemma-2-2b-elyza-tasks-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ftnext/gemma-2-2b-elyza-tasks-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ftnext/gemma-2-2b-elyza-tasks-sft: direct link, hf CLI and curl.
- Browser
- Download file 41.6 MB
-
https://huggingface.co/ftnext/gemma-2-2b-elyza-tasks-sft/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ftnext/gemma-2-2b-elyza-tasks-sft/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ftnext/gemma-2-2b-elyza-tasks-sft/resolve/main/adapter_model.safetensors
41.6 MB
- Xet hash:
- 06ebbd0147c4e6353615e91ac7c919e0bdbc9590930939422087ae8f5bc868b0
- Size of remote file:
- 41.6 MB
- SHA256:
- 829517dcb95f36bcd0ebb670ed671d30cbe27284af1a99eb1c4a22e333f826af
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