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:
- 6ba8401e07bf2e3ed1c86f2a1f3c2c4cd41b0f96439825f284d81947581b12f7
- Size of remote file:
- 4.98 kB
- SHA256:
- e4746a9cf3bf381104309da5de3e40d5f44569d176daf15a6cc3563030cb5392
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