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:
- 5889754fc7c76541517e12cb599e4b31a2f482c5aa9a412a019ac4e5da002878
- Size of remote file:
- 37 GB
- SHA256:
- a3e8e49c04eebedc9fa3bd7a7baa710ecbc7fec934b527d17f7902d049f3fbfc
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