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:
- d305601fe8250b0a99a77bf4906570e6bdc0e426ad3dc7e379a171f7221fe62e
- Size of remote file:
- 4.38 MB
- SHA256:
- 8bdd3ac78ac3b11915585f7a1e6e9fe772e2b2a92b91470a8798b375aafa0f4e
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