Instructions to use hf-internal-testing/tiny-random-bert-sharded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-bert-sharded with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-bert-sharded")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert-sharded") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bert-sharded") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ac558392d6bd3c5bbc68f8cc949591cb311974141e3a5ef3202d3ca7f9a44a9
- Size of remote file:
- 7.46 kB
- SHA256:
- abb23d7236576b09f03d41824d7bbda12278a2bba11de17c0aa19f9e8d89cc77
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