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:
- bd53325708250ce4a20723ed4d0b7e728b825dea9dfd27af15f8dd04ad1665d5
- Size of remote file:
- 438 MB
- SHA256:
- b08b6784047893ac1b2fc1a73b945d155d45b54ff50252f41704d724db17bd20
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