Instructions to use emo-nlp/7-emo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emo-nlp/7-emo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emo-nlp/7-emo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emo-nlp/7-emo") model = AutoModelForSequenceClassification.from_pretrained("emo-nlp/7-emo") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:b5ffe2be206ee39253d91e6c9c3ac73e0714b32ff6e1921091bcbdc30a76b013
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size 498628204
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