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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0be553cdc32e7d100ffbda8c8a71493101c5a03c8665883854b6c3133527aa5
- Size of remote file:
- 4.22 kB
- SHA256:
- 5691f2c6db3d153a24163093f6721d1dfe6830a598616698ad5496709e56fb70
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