Instructions to use frett/chinese_paragraph_bert-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_paragraph_bert-ext with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("frett/chinese_paragraph_bert-ext") model = AutoModelForMultipleChoice.from_pretrained("frett/chinese_paragraph_bert-ext") - Notebooks
- Google Colab
- Kaggle
File size: 446 Bytes
5c8b278 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"epoch": 3.0,
"eval_accuracy": 0.9617813229560852,
"eval_loss": 0.17168329656124115,
"eval_runtime": 75.5186,
"eval_samples": 3009,
"eval_samples_per_second": 39.844,
"eval_steps_per_second": 2.503,
"total_flos": 6.855770591553946e+16,
"train_loss": 0.08668158495607596,
"train_runtime": 5343.4587,
"train_samples": 21714,
"train_samples_per_second": 12.191,
"train_steps_per_second": 0.762
} |