Instructions to use ColeH0415/comp90042-deberta-synmap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColeH0415/comp90042-deberta-synmap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColeH0415/comp90042-deberta-synmap")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColeH0415/comp90042-deberta-synmap") model = AutoModelForSequenceClassification.from_pretrained("ColeH0415/comp90042-deberta-synmap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Best checkpoint epoch 5 F1=0.4932
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Best checkpoint epoch 4 F1=0.4588
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Best checkpoint epoch 2 F1=0.4420
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Best checkpoint epoch 1 F1=0.3347
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Upload tokenizer
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Best checkpoint epoch 1 F1=0.0838
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initial commit
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