Token Classification
Transformers
PyTorch
Spanish
roberta
PyTorch
Transformers
Token Classification
roberta-base-bne
Instructions to use sdocio/es_trf_ner_cds_bne-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdocio/es_trf_ner_cds_bne-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sdocio/es_trf_ner_cds_bne-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sdocio/es_trf_ner_cds_bne-base") model = AutoModelForTokenClassification.from_pretrained("sdocio/es_trf_ner_cds_bne-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md: info about dataset is pending
Browse files
README.md
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print(ent)
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```
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## Model performance
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entity|precision|recall|f1
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print(ent)
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```
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## Dataset
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ToDo
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## Model performance
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entity|precision|recall|f1
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