Instructions to use TTian/deberta-classifier-feedback-1024-pseudo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TTian/deberta-classifier-feedback-1024-pseudo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TTian/deberta-classifier-feedback-1024-pseudo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TTian/deberta-classifier-feedback-1024-pseudo") model = AutoModelForTokenClassification.from_pretrained("TTian/deberta-classifier-feedback-1024-pseudo") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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