Instructions to use vblagoje/bert-english-uncased-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/bert-english-uncased-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vblagoje/bert-english-uncased-finetuned-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vblagoje/bert-english-uncased-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("vblagoje/bert-english-uncased-finetuned-pos") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf0eadba38175f976db1d5be05369dce7a0754a35ea1affa4f1ae39b99df28c1
- Size of remote file:
- 1.21 kB
- SHA256:
- be7403a95eab1b10a1a81fb54e0973303a15232c22936413e74fbeee9c285d2d
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