Instructions to use Lin-Chen/ShareGPT4V-13B_Pretrained_vit-large336-l12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lin-Chen/ShareGPT4V-13B_Pretrained_vit-large336-l12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lin-Chen/ShareGPT4V-13B_Pretrained_vit-large336-l12")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lin-Chen/ShareGPT4V-13B_Pretrained_vit-large336-l12") model = AutoModel.from_pretrained("Lin-Chen/ShareGPT4V-13B_Pretrained_vit-large336-l12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7583c7b357e22e76cfcc5d70664a2ce79ec4093341f77f7955e197662d279f44
- Size of remote file:
- 607 MB
- SHA256:
- ce4354d4a6014ce263850d5100be848a69fbb5a3e403339cd674046bd0e2fdb0
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