Instructions to use flexsystems/flex-e2e-super-tiny-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flexsystems/flex-e2e-super-tiny-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flexsystems/flex-e2e-super-tiny-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("flexsystems/flex-e2e-super-tiny-bert-model") model = AutoModel.from_pretrained("flexsystems/flex-e2e-super-tiny-bert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3bf8f39d31a40b41e12a392f293372b15b8aed9aa55f5d50a04e5eb158b4e67
- Size of remote file:
- 9.18 kB
- SHA256:
- 36843ffc1b53c24c38415e2fa296aa27364c1cf7f12770351a0f3bda09b536fb
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