Instructions to use syubraj/spanish_bert_based_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syubraj/spanish_bert_based_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syubraj/spanish_bert_based_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syubraj/spanish_bert_based_ner") model = AutoModelForTokenClassification.from_pretrained("syubraj/spanish_bert_based_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6e8c30f92d81855d77841dac62d7cb82d9e3a99d9f9082d36b19df4b367c2cb
- Size of remote file:
- 5.24 kB
- SHA256:
- 4792ed0f8576f2abb4c31d6e9c96da8fd870970b4825c9d4121b0ce4207f99e8
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