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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("tidalove/Molmo2Fish", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from tidalove/Molmo2Fish: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/tidalove/Molmo2Fish/resolve/main/generation_config.json
- Command line
-
hf download hf://tidalove/Molmo2Fish/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/tidalove/Molmo2Fish/resolve/main/generation_config.json
117 Bytes
| { | |
| "bos_token_id": 151645, | |
| "eos_token_id": 151645, | |
| "pad_token_id": 151643, | |
| "transformers_version": "4.57.6" | |
| } | |