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:
- 68c62c6d7f0b230340e720045e12f7582564dc9937c216654c09e57707e4d265
- Size of remote file:
- 3.22 MB
- SHA256:
- ea6a92960f49e36fdffc4538175f7a95884e3b36500d3f61be239e49448917b0
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