Instructions to use hf-internal-testing/tiny-random-NystromformerForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-NystromformerForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-NystromformerForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 671118475255a11cd638905a4fb1889b631fd893c9c6f3bac546b0c8afde94f4
- Size of remote file:
- 4.21 MB
- SHA256:
- 7dd51fdff2338fa65c4aaca9c854971afa6f392bacc2be29921fae27e91ee3d7
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