Instructions to use hf-tiny-model-private/tiny-random-NystromformerForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NystromformerForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-NystromformerForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61418def51aa645d497dcf041338cab78075e3eec5c8438b99b0fd637b0bbe3f
- Size of remote file:
- 4.21 MB
- SHA256:
- b83c89dff414d2a92e5047494f0a8848ce6b9ce7a473717ad9c18e51903b689a
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