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 tokenizer.json from ftnext/gemma-2-2b-elyza-tasks-sft: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/ftnext/gemma-2-2b-elyza-tasks-sft/resolve/main/tokenizer.json
- Command line
-
hf download hf://ftnext/gemma-2-2b-elyza-tasks-sft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ftnext/gemma-2-2b-elyza-tasks-sft/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- fa8a8c7b79fbe60ea6d7ebec09ae65ff0398955d4f7c07c97a03c7ab7d4ff4a9
- Size of remote file:
- 34.4 MB
- SHA256:
- e6ce83119bb404f7f0a6e621b76759d476357dcd01241a90f9ca136ae2b3c11c
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