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:
- 3019835ccf127a3fbdb30b819a0d40a2a78f99e3abe1f4739ae4fbadffb7d598
- Size of remote file:
- 2.81 MB
- SHA256:
- f36fe1395743926b0e1c1dd4e43c0c7756066ce416308b7ab20bc1706d62c07a
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