Instructions to use hf-internal-testing/tiny-random-SwitchTransformersForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SwitchTransformersForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SwitchTransformersForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-SwitchTransformersForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b425eeddb0213db05d96c75351ca58150786e4bf609214edd377f8f6f28feed5
- Size of remote file:
- 4.47 MB
- SHA256:
- e740623d1eff7f1760e14535f34681d162c05c088e58a0fc400675001ef91f07
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