Instructions to use hf-internal-testing/tiny-random-MobileBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MobileBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MobileBertModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 286715dea3171cce9587b3c8c76a6fae8716c104dd9b3b78033b60e82c95722d
- Size of remote file:
- 2.87 MB
- SHA256:
- 4492e7a2bc21fb1ec04cbdbf778449aebaf62986c2616fa5cab514a17c167d47
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