Instructions to use Ayou/chinese_mobile_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayou/chinese_mobile_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ayou/chinese_mobile_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ayou/chinese_mobile_bert") model = AutoModelForMaskedLM.from_pretrained("Ayou/chinese_mobile_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad9f07825e2b74ca8e32f46534ec0d8254bb29bfeed30943f0df0a0b7280bd92
- Size of remote file:
- 128 MB
- SHA256:
- 5a821cf7bc01fe0f43c5293c21957ee56e5e21e590102fcc6de5488041b1ebac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.