Fill-Mask
Transformers
Safetensors
pinyin_code
masked-lm
trust-remote-code
sentencepiece
custom_code
Instructions to use timorobrecht/full_chinese_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timorobrecht/full_chinese_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timorobrecht/full_chinese_bert", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("timorobrecht/full_chinese_bert", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5, | |
| "evaluation_backend": "masked_language_modeling", | |
| "global_step": 11157, | |
| "jieba": true, | |
| "model_type": "bert", | |
| "source_checkpoint": "models\\full_chinese_bert\\best.pt", | |
| "transliteration": "pinyin-code", | |
| "use_jieba": true, | |
| "validation_loss": 6.197633288487666 | |
| } | |