Instructions to use IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-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-large-326M-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-large-326M-Chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese") model = AutoModelForSequenceClassification.from_pretrained("IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73331081ecb2ab2d5aacddf67ea1e1ea26e124065d578f7e0595d57e70bab35a
- Size of remote file:
- 1.31 GB
- SHA256:
- 13f50fdd2fa0e809a95d602b4d74552d2c27e3ebc08f40108a7d1cae20a7107b
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