Audio-Text-to-Text
Transformers
Safetensors
Chinese
English
edgeinstant
feature-extraction
audio
speech-recognition
speech-translation
audio-question-answering
custom_code
Instructions to use chenjz24/EdgeIn-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenjz24/EdgeIn-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chenjz24/EdgeIn-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download image_processor/preprocessor_config.json from chenjz24/EdgeIn-v1: direct link, hf CLI and curl.
- Browser
- Download file 443 Bytes
-
https://huggingface.co/chenjz24/EdgeIn-v1/resolve/main/image_processor/preprocessor_config.json
- Command line
-
hf download hf://chenjz24/EdgeIn-v1/image_processor/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/chenjz24/EdgeIn-v1/resolve/main/image_processor/preprocessor_config.json
443 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "merge_size": 2, | |
| "patch_size": 16, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 16777216, | |
| "shortest_edge": 65536 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |