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:
- 9b3bcadc897b2f01552b4352dd4be76b1c1755e948295c7b5f97e16c6ae77c90
- Size of remote file:
- 3.18 MB
- SHA256:
- 443b6ab477185f8b28f52fde4caff17b6a4de1284174778e6ffa68b08f1e23b0
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