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
Download model.safetensors from hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 4.47 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-SwitchTransformersForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
4.47 MB
- Xet hash:
- 66df9a8552c3d9842755864bf8ff93a35e954faf173514f80b766f0b2da8b049
- Size of remote file:
- 4.47 MB
- SHA256:
- 1de8cce959f88a28f0481cc3a243ff419b8c1248934561be43b582fe822c7892
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