Instructions to use erickrribeiro/ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickrribeiro/ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="erickrribeiro/ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("erickrribeiro/ner_model") model = AutoModelForTokenClassification.from_pretrained("erickrribeiro/ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dee98481f7855c98b1a7f19612d6b4f7ba413a7ba6816bb38b3e6db7a889fe82
- Size of remote file:
- 434 MB
- SHA256:
- 9e2afb94bab0bbaf21a291d4b983658665ad23a58e9643d269c4fe6ebd3828a4
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