Instructions to use tahiyacy/emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tahiyacy/emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tahiyacy/emotion-recognition")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tahiyacy/emotion-recognition") model = AutoModel.from_pretrained("tahiyacy/emotion-recognition") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1822ad417fdf1ebacf44af33fdc547f14796a3bb0f242c3e4bdea0f361d9499
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size 1132197360
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