Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
qwen2.5-vl
video-question-answering
resadapt
text-generation-inference
Instructions to use Xnhyacinth/ResAdapt-Research-Checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xnhyacinth/ResAdapt-Research-Checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Xnhyacinth/ResAdapt-Research-Checkpoint") model = AutoModelForMultimodalLM.from_pretrained("Xnhyacinth/ResAdapt-Research-Checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ARTIFACTS.json from Xnhyacinth/ResAdapt-Research-Checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 16 kB
-
https://huggingface.co/Xnhyacinth/ResAdapt-Research-Checkpoint/resolve/main/ARTIFACTS.json
- Command line
-
hf download hf://Xnhyacinth/ResAdapt-Research-Checkpoint/ARTIFACTS.json
-
curl -L -o ARTIFACTS.json https://huggingface.co/Xnhyacinth/ResAdapt-Research-Checkpoint/resolve/main/ARTIFACTS.json
16 kB
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| "operation": "copy_exact_source_object", | |
| "audit_status": "passed", | |
| "context_decision": "retain_public_model_vocabulary_tokens_and_integer_ids; not private affiliation metadata", | |
| "audit_mode": "full_immutable_git_blob_hash_verified" | |
| } | |
| ] | |
| } | |