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:
- 464eda5e14a93c21b99405a8d1cea67e61f87daf362397f8fa6d84bc6b0d65ec
- Size of remote file:
- 3.13 MB
- SHA256:
- 45ce7697281bda5f3df04a3be08228cbced5692e904a7941cdad80c1ccd3d853
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