Video-Text-to-Text
Transformers
Safetensors
molmo2
image-text-to-text
video
object-tracking
ecology
custom_code
Instructions to use tidalove/Molmo2Fish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tidalove/Molmo2Fish with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("tidalove/Molmo2Fish", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d487a5f813856aa39b26629586c3d7df1278d2977c8a624e6dc03f99cf0203d0
- Size of remote file:
- 11.5 MB
- SHA256:
- 3ef24b8f324674c3a1163e2c205b9e2b1a230fd2d4294de7b779bb419fc23914
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