Instructions to use tk3879110/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tk3879110/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tk3879110/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tk3879110/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("tk3879110/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update eval_results_sst-2.txt
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eval_results_sst-2.txt
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eval_loss = 0.35829179373383524
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eval_acc = 0.88
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epoch = 1.0
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