Instructions to use hf-internal-testing/tiny-random-TapasForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TapasForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-TapasForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-TapasForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-TapasForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03ab6eb2b3257266f7543f63f5736aec24c1fa90b6aaf608e606299d906035cd
- Size of remote file:
- 4.4 MB
- SHA256:
- d444f5210c62a695dc7596eee638de8eb96a882894f0dfb71639d82443d294e2
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