Feature Extraction
Transformers
Safetensors
Laya
English
modernbert
fuuga
fine-tuned
decision-model
text-classification
text-embeddings-inference
Instructions to use Thoriumi/Fuuga-Laya-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thoriumi/Fuuga-Laya-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Thoriumi/Fuuga-Laya-emotion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Thoriumi/Fuuga-Laya-emotion") model = AutoModel.from_pretrained("Thoriumi/Fuuga-Laya-emotion", device_map="auto") - Laya
How to use Thoriumi/Fuuga-Laya-emotion with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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