Instructions to use boda/ANER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boda/ANER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boda/ANER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boda/ANER") model = AutoModelForTokenClassification.from_pretrained("boda/ANER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2607c6b36340a2afdebff5f8afa89edc02e39c9e29603a0cc555faf3e97bd8a7
- Size of remote file:
- 539 MB
- SHA256:
- 4326b25f655a8ba410d40a4b0da0e4f2650328c9a4329d4a2f3574f897c4ba81
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