Instructions to use hucruz/consejo-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hucruz/consejo-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hucruz/consejo-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hucruz/consejo-ner") model = AutoModelForTokenClassification.from_pretrained("hucruz/consejo-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba330904d40e26c9f98757088cbfc458cd3692cb68ab8fc8b5e85a539f08dbaf
- Size of remote file:
- 267 MB
- SHA256:
- af54b44f62d1f79912e432f71c3498f09739384383aba52032e2a7465cc329cb
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