Instructions to use IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese") model = AutoModel.from_pretrained("IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
QA for 我们冻结了视觉编码器并且只微调语言编码器
#1 opened almost 4 years ago
by
iamsk