Instructions to use JahnaviKumar/FGL_DevEmotionAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JahnaviKumar/FGL_DevEmotionAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JahnaviKumar/FGL_DevEmotionAnalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JahnaviKumar/FGL_DevEmotionAnalysis") model = AutoModelForSequenceClassification.from_pretrained("JahnaviKumar/FGL_DevEmotionAnalysis") - 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 sha256:24083a5ed5b1385a04b635d4e9a2029a860b00d9c193c62069676c885b17e9e2
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size 328507660
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