Instructions to use hf-tiny-model-private/tiny-random-FNetModel 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-FNetModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-FNetModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-FNetModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from hf-tiny-model-private/tiny-random-FNetModel: direct link, hf CLI and curl.
- Browser
- Download file 708 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FNetModel/resolve/21463fa6c07e447189b42987c4d3f17514dcdc13/spiece.model
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FNetModel@21463fa6c07e447189b42987c4d3f17514dcdc13/spiece.model
-
curl -L -o spiece.model https://huggingface.co/hf-tiny-model-private/tiny-random-FNetModel/resolve/21463fa6c07e447189b42987c4d3f17514dcdc13/spiece.model
708 kB
- Xet hash:
- 8b34db02fa74e9ac7a4f26cf4f081eb5b1eb2ff1ac09ace00eb84040d771524f
- Size of remote file:
- 708 kB
- SHA256:
- 0f848afb4cb35389f15819aad6b9b4bb65d8b6cec9613b6145bea94b4a045ab6
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