Instructions to use hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hf-transformers-bot HF Staff
Upload tiny models for SwitchTransformersForConditionalGeneration
7474570 Download tokenizer.json from hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
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https://huggingface.co/hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration/resolve/main/tokenizer.json
- Command line
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hf download hf://hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration/resolve/main/tokenizer.json
2.42 MB
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