Instructions to use chris1tava/position_names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chris1tava/position_names with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chris1tava/position_names")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chris1tava/position_names") model = AutoModelForTokenClassification.from_pretrained("chris1tava/position_names", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Rebuilt the model now with 73.6 F1 Score
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Retrained the model based on balanced dataset
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