Instructions to use hf-tiny-model-private/tiny-random-MobileBertForMaskedLM 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-MobileBertForMaskedLM 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-MobileBertForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e8108fdc72c69de41b94603e91e52072132510091595ccce12eb2643e8c60bf
- Size of remote file:
- 3.02 MB
- SHA256:
- eeb14f3b80d13516f7c349643cf0925240eb3c0dfd586b4ba2e62226171952e1
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