Instructions to use aimarsg/ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/ner") model = AutoModelForTokenClassification.from_pretrained("aimarsg/ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc02644cd9d4bdfcfb7ccdc0b1fdc1ba19cf68d82ca6ccb1ad1f1076ee9bf1c0
- Size of remote file:
- 3.58 kB
- SHA256:
- 9548e7f782ed4a66d290a2229fc549bf8c6cb9f327f0d2e9d0ea3f52a643beb5
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