Instructions to use hf-internal-testing/tiny-random-MobileBertForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-MobileBertForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-MobileBertForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a4f5a9318de39564118dfe8aa75c2f3b3357d66c80faf2fec984d546379d8ae
- Size of remote file:
- 3.43 MB
- SHA256:
- 7b43e7c4274f6a9cd9c555424a0617b42e6a4a49cf1c481d5a383934cd323b2d
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