Instructions to use chimp56/gemma-3-1b-it-sst5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chimp56/gemma-3-1b-it-sst5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chimp56/gemma-3-1b-it-sst5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chimp56/gemma-3-1b-it-sst5: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/chimp56/gemma-3-1b-it-sst5/resolve/43d14d9d5d6715607a50c8009efe68683d692dac/training_args.bin
- Command line
-
hf download hf://chimp56/gemma-3-1b-it-sst5@43d14d9d5d6715607a50c8009efe68683d692dac/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chimp56/gemma-3-1b-it-sst5/resolve/43d14d9d5d6715607a50c8009efe68683d692dac/training_args.bin
5.71 kB
- Xet hash:
- f2face3aab93a0d94863a62866edc30ef5e13dd32c3c6a229979473f98048999
- Size of remote file:
- 5.71 kB
- SHA256:
- 108e08817878c9c5efaac236360895b39112e6720e760e7dd68fc899950a414a
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