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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bf05048140abc80af2fccd7c91a0f682a0bd4d98806f393d4bc6d712c27c24
- Size of remote file:
- 4.02 kB
- SHA256:
- 671408a901b4aad3472994e891a3493e771ddb12e5c641298be16147f4ac4b7a
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