Feature Extraction
Transformers
Safetensors
English
Chinese
flmr
retrieval
multi-modal
knowledge-based visual question answering
FLMR
PreFLMR
custom_code
Instructions to use LinWeizheDragon/PreFLMR_ViT-L_ENCN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinWeizheDragon/PreFLMR_ViT-L_ENCN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LinWeizheDragon/PreFLMR_ViT-L_ENCN", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LinWeizheDragon/PreFLMR_ViT-L_ENCN", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 139136db2b5c557005e3c8018093a2bce5be5db0027e303954f9f192b6ea8bfd
- Size of remote file:
- 17.1 MB
- SHA256:
- 249df0778f236f6ece390de0de746838ef25b9d6954b68c2ee71249e0a9d8fd4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.