Instructions to use twn39/ernie-3.0-mini-zh-finetune-dianping with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twn39/ernie-3.0-mini-zh-finetune-dianping with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="twn39/ernie-3.0-mini-zh-finetune-dianping")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("twn39/ernie-3.0-mini-zh-finetune-dianping") model = AutoModelForSequenceClassification.from_pretrained("twn39/ernie-3.0-mini-zh-finetune-dianping") - Notebooks
- Google Colab
- Kaggle
最终评估结果: {'eval_loss': 0.6681385040283203, 'eval_accuracy': 0.7171462474043311, 'eval_runtime': 11.0298, 'eval_samples_per_second': 611.252, 'eval_steps_per_second': 38.26, 'epoch': 3.0}
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Base model
nghuyong/ernie-3.0-mini-zh