Instructions to use hf-internal-testing/tiny-random-FNetForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FNetForNextSentencePrediction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FNetForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-internal-testing/tiny-random-FNetForNextSentencePrediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-FNetForNextSentencePrediction: direct link, hf CLI and curl.
- Browser
- Download file 279 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FNetForNextSentencePrediction/resolve/9b11a763f599a95c3dff8e4255cd952a04101a65/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FNetForNextSentencePrediction@9b11a763f599a95c3dff8e4255cd952a04101a65/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-FNetForNextSentencePrediction/resolve/9b11a763f599a95c3dff8e4255cd952a04101a65/pytorch_model.bin
279 kB
- Xet hash:
- 545a26b9086fec641ce818b39194473c4230ce18eb4b53098455d4ed46c6a3e4
- Size of remote file:
- 279 kB
- SHA256:
- b1dbb22d9074a0c0d21520f4819a88f564837be9e305db3c560e05bcf647b087
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