Instructions to use hf-internal-testing/tiny-random-RoFormerForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoFormerForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-RoFormerForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoFormerForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-RoFormerForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- babfd983cb7768ab52e3bc556893df253a1d90b69902458bc81b0498018905ce
- Size of remote file:
- 6.77 MB
- SHA256:
- 65ceddfcf6040f7eff04fc97515010ebe66a9d40c6737f3bc2358af33611c756
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