Token Classification
Transformers
TensorBoard
Safetensors
English
Ukrainian
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use CineAI/NER_Pittsburgh_TAA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CineAI/NER_Pittsburgh_TAA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CineAI/NER_Pittsburgh_TAA")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CineAI/NER_Pittsburgh_TAA") model = AutoModelForTokenClassification.from_pretrained("CineAI/NER_Pittsburgh_TAA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1db553840c951a97234c89623bc984e46d97aeb3fbd33d9c5452c9dbcf872e67
- Size of remote file:
- 5.11 kB
- SHA256:
- 8df73856452951645b6402b472e34ee2cd9bbe8738af52c6418520d7ebde9c9b
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