Instructions to use google/switch-base-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/switch-base-256 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/switch-base-256") model = AutoModelForSeq2SeqLM.from_pretrained("google/switch-base-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin.index.json from google/switch-base-256: direct link, hf CLI and curl.
- Browser
- Download file 635 kB
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https://huggingface.co/google/switch-base-256/resolve/refs%2Fpr%2F7/pytorch_model.bin.index.json
- Command line
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hf download hf://google/switch-base-256@refs/pr/7/pytorch_model.bin.index.json
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curl -L -o pytorch_model.bin.index.json https://huggingface.co/google/switch-base-256/resolve/refs%2Fpr%2F7/pytorch_model.bin.index.json
635 kB
File too large to display, you can check the raw version instead.