Instructions to use bunoheb/emotion_classifier_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bunoheb/emotion_classifier_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bunoheb/emotion_classifier_main")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bunoheb/emotion_classifier_main") model = AutoModelForSequenceClassification.from_pretrained("bunoheb/emotion_classifier_main") - 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 sha256:46228213cc7e1c18367654f24bac6a8d6057ca06c30cbfca9192ddc630629b6d
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size 1346718928
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