Instructions to use zhfanrui/dandg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhfanrui/dandg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zhfanrui/dandg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zhfanrui/dandg") model = AutoModelForTokenClassification.from_pretrained("zhfanrui/dandg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Forest commited on
Commit ·
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Parent(s): cf8c62a
End of training
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README.md
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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### Framework versions
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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### Framework versions
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model.safetensors
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