Instructions to use DaydreamerF/chinese-macbert-base-finetuned-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaydreamerF/chinese-macbert-base-finetuned-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DaydreamerF/chinese-macbert-base-finetuned-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DaydreamerF/chinese-macbert-base-finetuned-accelerate") model = AutoModelForQuestionAnswering.from_pretrained("DaydreamerF/chinese-macbert-base-finetuned-accelerate") - Notebooks
- Google Colab
- Kaggle
chinese-macbert-base-finetuned-accelerate
This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset.
Model description
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10
Training results
- exact_match:95.45
- f1:96.33
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