Instructions to use IDEA-CCNL/Taiyi-Roberta-124M-D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Taiyi-Roberta-124M-D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IDEA-CCNL/Taiyi-Roberta-124M-D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Taiyi-Roberta-124M-D") model = AutoModelForMaskedLM.from_pretrained("IDEA-CCNL/Taiyi-Roberta-124M-D", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a13af544394b9affc915f513b1ab4eba07dece223d953e178659db5a989ff6
- Size of remote file:
- 499 MB
- SHA256:
- 0bf05bdc839b5c746b169b5e27689fc66fcfad5b807c7eade5633421cadd7f75
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