Instructions to use m2af/klue-roberta-large-main_emotion-classifier-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m2af/klue-roberta-large-main_emotion-classifier-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m2af/klue-roberta-large-main_emotion-classifier-basic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m2af/klue-roberta-large-main_emotion-classifier-basic") model = AutoModelForSequenceClassification.from_pretrained("m2af/klue-roberta-large-main_emotion-classifier-basic") - 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:a77a1b7f2505d9a3f0be585d6e6031beff75764c2d888ccd0f2fbe61d42a0bd2
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size 1346718928
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