Instructions to use hf-internal-testing/tiny-random-mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-mobilebert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-mobilebert") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-mobilebert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a4a7a0b302161bef323b70e989a62edcbaa30e6e63345ee3975512a87dadc03
- Size of remote file:
- 169 MB
- SHA256:
- ac0549c7df55344982affee95843d1eba9ea5150ae4bab8c83c65c092934bce1
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