Instructions to use hf-tiny-model-private/tiny-random-FNetForMaskedLM 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-FNetForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-FNetForMaskedLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-FNetForMaskedLM: direct link, hf CLI and curl.
- Browser
- Download file 4.38 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForMaskedLM/resolve/dbca3882464d2a449d3d83ddbfde391461d3df3a/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FNetForMaskedLM@dbca3882464d2a449d3d83ddbfde391461d3df3a/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForMaskedLM/resolve/dbca3882464d2a449d3d83ddbfde391461d3df3a/pytorch_model.bin
4.38 MB
- Xet hash:
- 072ebba7acfe972dff69266ff59f36207f31891da2b871c6036a42ae1fd97e15
- Size of remote file:
- 4.38 MB
- SHA256:
- 7ca2d460e9e019909a8f1852c575efea9784ffa53d7e92ab46f771b33a799568
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