Instructions to use DeepaPeri/XLMR-BASE-TRAINED-CONLL2002-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepaPeri/XLMR-BASE-TRAINED-CONLL2002-es with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeepaPeri/XLMR-BASE-TRAINED-CONLL2002-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd8da4d3bd06438b691a6f5b21574a4fb62db80fc7a252253c8f226c6489c501
- Size of remote file:
- 499 MB
- SHA256:
- e7662a097d32ea1d5d24f15efd8fd0376766d62f571c7dc4a2458b5755e63f54
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