Instructions to use frett/chinese_extract_lert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_extract_lert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="frett/chinese_extract_lert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("frett/chinese_extract_lert") model = AutoModelForQuestionAnswering.from_pretrained("frett/chinese_extract_lert") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "total_flos": 3.6156938713344e+16, | |
| "train_loss": 0.40735532518307727, | |
| "train_runtime": 4631.1638, | |
| "train_samples": 27675, | |
| "train_samples_per_second": 29.879, | |
| "train_steps_per_second": 7.47 | |
| } |