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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27580ba7bdf70ab7575125d226f9543ab4135cfa81e1bb805a718250164835ef
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size 496266768
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