Instructions to use hf-internal-testing/tiny-bert-h5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert-h5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert-h5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-h5") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-h5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 692a4d3157055593d14d0ed65749846407ee6d4b59f40cfd1f430395b928d576
- Size of remote file:
- 472 kB
- SHA256:
- 55f3f4e6dca8cecebfb8bc4c9f2f688ab518a6bede4787fd48b9110e367a7330
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