Text Classification
Transformers
Safetensors
English
modernbert
multi_label_classification
Generated from Trainer
text-embeddings-inference
Instructions to use armpln/finetuned_model_emotion_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use armpln/finetuned_model_emotion_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="armpln/finetuned_model_emotion_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("armpln/finetuned_model_emotion_detection") model = AutoModelForSequenceClassification.from_pretrained("armpln/finetuned_model_emotion_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1d993327fef9abf7566afa1c661a851661119b88f2926ebfa98f2029ed26867
- Size of remote file:
- 5.2 kB
- SHA256:
- 81aaff35a56b86d2e545082b902f66d5d9a86484541202b630d11588d169b3d2
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