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:
- 8004f87c1ff4aa071388d6e2468ab879576dd0ac2021594472a1353d0bdddba7
- Size of remote file:
- 3.52 kB
- SHA256:
- 1bdc7f7bfa50f9ef851f46664d1214a93c9ab8d9de98d56e5b1382a4804dcc30
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