Image-to-Text
Transformers
Safetensors
minicpmo
feature-extraction
vision
multimodal
tiny-model
minicpm
custom_code
Instructions to use M-Ziyo/tiny-random-MiniCPM-o-2_6-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-Ziyo/tiny-random-MiniCPM-o-2_6-mini with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="M-Ziyo/tiny-random-MiniCPM-o-2_6-mini", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("M-Ziyo/tiny-random-MiniCPM-o-2_6-mini", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoImageProcessor": "openbmb/MiniCPM-o-2_6--image_processing_minicpmv.MiniCPMVImageProcessor", | |
| "AutoProcessor": "openbmb/MiniCPM-o-2_6--processing_minicpmo.MiniCPMOProcessor" | |
| }, | |
| "chunk_length": 30, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 80, | |
| "hop_length": 160, | |
| "im_end": "</image>", | |
| "im_id_end": "</image_id>", | |
| "im_id_start": "<image_id>", | |
| "im_start": "<image>", | |
| "image_feature_size": 64, | |
| "image_processor_type": "MiniCPMVImageProcessor", | |
| "max_slice_nums": 9, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "norm_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "norm_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "patch_size": 14, | |
| "processor_class": "MiniCPMOProcessor", | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000, | |
| "scale_resolution": 448, | |
| "slice_end": "</slice>", | |
| "slice_mode": true, | |
| "slice_start": "<slice>", | |
| "unk": "<unk>", | |
| "use_image_id": true, | |
| "version": 2.6 | |
| } | |