Transformers
Safetensors
English
multimodal
emotion-recognition
speech-emotion-recognition
audio-text
wav2vec2
roberta
cross-attention
fusion
Instructions to use hugoaslm/multimodal-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugoaslm/multimodal-emotion-recognition with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hugoaslm/multimodal-emotion-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa92a14727fd5b4f5b575233da54521b78346291be39073071348942d0db86a2
- Size of remote file:
- 5.27 kB
- SHA256:
- c754d2fe5f2937eeb8c45d6231a7f72ad2260185ba019ee7a91b78c4778986fc
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