Text Classification
Transformers
PyTorch
English
roberta
distilroberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use michelleli99/emotion_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michelleli99/emotion_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michelleli99/emotion_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michelleli99/emotion_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("michelleli99/emotion_text_classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
Dataset Information
#26 opened 7 months ago
by
Lakshay01
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#25 opened 9 months ago
by
SFconvertbot
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#24 opened 10 months ago
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#23 opened 10 months ago
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Adding `safetensors` variant of this model
#22 opened 11 months ago
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Adding `safetensors` variant of this model
#21 opened about 1 year ago
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Adding `safetensors` variant of this model
#20 opened about 1 year ago
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Adding `safetensors` variant of this model
#19 opened about 1 year ago
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#18 opened about 1 year ago
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#17 opened about 1 year ago
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#16 opened about 1 year ago
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#15 opened about 1 year ago
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#14 opened about 1 year ago
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#13 opened about 1 year ago
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#12 opened about 1 year ago
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#11 opened about 1 year ago
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#10 opened about 1 year ago
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#9 opened over 1 year ago
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#8 opened over 1 year ago
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#7 opened over 1 year ago
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Adding `safetensors` variant of this model
#6 opened over 1 year ago
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#5 opened over 1 year ago
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Adding `safetensors` variant of this model
#4 opened over 1 year ago
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#3 opened over 1 year ago
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Adding `safetensors` variant of this model
1
#2 opened almost 3 years ago
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Adding `safetensors` variant of this model
#1 opened about 3 years ago
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