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
[Request] Meld Emotion Audio Understanding Task Code (FT, Inference)
#41
by flipflop98 - opened
To whom it may concern,
Hello I'm Changhyun Kim, a research member in SKTelecom.
Could you kindly let me know the emotion (MELD-emo) or sentiment (MELD-sentiment) inference and fine-tunning code under MiniCPM-any models?
Either or Both whatever, please.
It will really helpful to me.
Thank you in advance.
Changhyun kim
flipflop98 changed discussion title from Emotion and Sentiment Audio Understanding Task Code for Finetunning and Inference to [Request] Meld Emotion Audio Understanding Task Code (FT, Inference)