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
| { | |
| "epoch": 3.0, | |
| "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 | |
| } |