Instructions to use hf-internal-testing/tiny-random-FNetForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FNetForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FNetForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-FNetForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5810281dd8c1f5f8daa7cf55c0270f910f71642b4d3386087d2c3dd9842e067
- Size of remote file:
- 4.38 MB
- SHA256:
- 37976fa78e37198bdf8c9a2bd9ee8b1612a37d384cbcac401fcb1f35c5f87ac7
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