Instructions to use harshith20/Emotion_predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshith20/Emotion_predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harshith20/Emotion_predictor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harshith20/Emotion_predictor") model = AutoModelForSequenceClassification.from_pretrained("harshith20/Emotion_predictor") - 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:c3354a24f917e5a6a38de479317174684b30afc6b8811ffa5161d1a79a098a8e
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size 99533344
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