Instructions to use IDEA-CCNL/Taiyi-CLIP-Roberta-102M-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-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-Chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Taiyi-CLIP-Roberta-102M-Chinese") model = AutoModelForSequenceClassification.from_pretrained("IDEA-CCNL/Taiyi-CLIP-Roberta-102M-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
bc37cdc
-
Update README.md
cbd0e39
-
Update README.md
weifengab347b1
-
Update README.md
98ccbcd
-
Update README.md
744ece3 -
Update README.md
14fe9d6
-
update readme
1b1abd0 -
add zero dataset and achieve better result
901bc96
-
update coco result
ec67cfd
-
coco update
Weifeng-Chene1aa040 -
update coco-cn
Weifeng-Chen1e11c2d
-
flickr30k evalution
Weifeng-Chen8bdb9cb -
update
Weifeng-Chen640fcde
-
using hugging face clip version
Weifeng-Chen59cea48
-
update
weifeng chena6dcf85
-
name update
weifeng chendfd5e6c -
update
weifeng chen56b40e2
-
update readme
weifeng chen0e7276c -
update readme
weifeng chen84e65f5 -
update readme
weifeng chen5b66f25 -
up-date
weifeng chen31cb198