Instructions to use mrm8488/es-tinybert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/es-tinybert-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrm8488/es-tinybert-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c7f6bc4ae6ebc92f5efc09ecb512ae8053ec54c21f6e388624fad76797e28e2
- Size of remote file:
- 59.5 MB
- SHA256:
- 8f8f59eeb18dfe2ca89654a604974d6bcc2503e0bc3c5c1b49729eaa7fef0267
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