Instructions to use aicast/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aicast/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aicast/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aicast/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("aicast/bert_finetuning_test") - Notebooks
- Google Colab
- Kaggle
Update eval_results_mrpc.txt
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eval_results_mrpc.txt
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acc = 0.8161764705882353
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f1 = 0.878048780487805
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acc_and_f1 = 0.8471126255380201
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loss = 0.4644663484365332
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