Feature Extraction
Transformers
PyTorch
TensorBoard
internvl
Image-to-Text Retrieval
Text-To-Image Retrieval
custom_code
Instructions to use OpenGVLab/InternVL-14B-Flickr30K-FT-364px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternVL-14B-Flickr30K-FT-364px with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenGVLab/InternVL-14B-Flickr30K-FT-364px", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL-14B-Flickr30K-FT-364px", trust_remote_code=True) model = AutoModel.from_pretrained("OpenGVLab/InternVL-14B-Flickr30K-FT-364px", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32e783e707a0437448a64fc8b0c272541eb806f03f4830eebf8d9a7b2a084628
- Size of remote file:
- 5.56 kB
- SHA256:
- 551388aa0cf981bbe3822780eb9a66d9d98f7409bd554f5f0686b8ccac7732df
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