Instructions to use MonoHime/mosei-emo-intermodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonoHime/mosei-emo-intermodal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MonoHime/mosei-emo-intermodal")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MonoHime/mosei-emo-intermodal") model = AutoModel.from_pretrained("MonoHime/mosei-emo-intermodal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Usage: This repository contains only trained weights for model. For initialization and use example see this repository (https://github.com/T-Sh/EmoSentiRecognition).
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- multiclass
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# Usage
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This repository contains only trained weights for model. For initialization and use example see [this repository](https://github.com/T-Sh/EmoSentiRecognition).
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