Any-to-Any
Transformers
Safetensors
multilingual
minicpmo
feature-extraction
minicpm-o
omni
vision
ocr
multi-image
video
custom_code
audio
speech
voice cloning
live Streaming
realtime speech conversation
asr
tts
Instructions to use openbmb/MiniCPM-o-2_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-2_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-2_6", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update resampler.py
#45
by katuni4ka - opened
- resampler.py +1 -1
resampler.py
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import warnings
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from functools import partial
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from typing import Optional
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from typing import Tuple
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import numpy as np
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import torch
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import warnings
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from functools import partial
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from typing import Optional
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from typing import Tuple, List
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import numpy as np
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import torch
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