Text Classification
Transformers
Safetensors
xlm-roberta
simplification
Generated from Trainer
text-embeddings-inference
Instructions to use JoseLuis95/social-behavior-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoseLuis95/social-behavior-emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoseLuis95/social-behavior-emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoseLuis95/social-behavior-emotions") model = AutoModelForSequenceClassification.from_pretrained("JoseLuis95/social-behavior-emotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a97c3d6b9930d78a6cfd933bcd1f666e1fac8d46e84ab423eb6977e1f993636
- Size of remote file:
- 17.1 MB
- SHA256:
- 9a4661b2cb6b8a1007906509fe18cbfbc03062a086102bf7b80cfedb80f16c37
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