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
File size: 347 Bytes
8a5a4d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"auto_map": {
"AutoProcessor": "processing_molmo2.Molmo2Processor"
},
"image_use_col_tokens": true,
"processor_class": "Molmo2Processor",
"use_frame_special_tokens": true,
"use_low_res_token_for_global_crops": false,
"use_single_crop_col_tokens": false,
"use_single_crop_start_token": true,
"video_use_col_tokens": false
}
|