Instructions to use universalner/uner_por_bos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_por_bos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_por_bos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_por_bos") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_por_bos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e990931fc4fb7b69730e04b033e5923d7db54cba3c6b222f0e7426dd95c241
- Size of remote file:
- 2.24 GB
- SHA256:
- 0a4b884717d610eaf9b483566f47b55aabb73c3b9ae0a352d373e9b2f291c318
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