Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use msgfrom96/emotion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msgfrom96/emotion_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msgfrom96/emotion_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msgfrom96/emotion_model") model = AutoModelForSequenceClassification.from_pretrained("msgfrom96/emotion_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98d12e9765d3d28bfbfa998af2d4f4a800811044f18fb828846b8ef9110b4862
- Size of remote file:
- 5.3 kB
- SHA256:
- 80ab271fb6a8f7fe9503ce1c87e5d5b36f0fca6449de16e73126b0b2add635ff
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