Text Classification
Transformers
Safetensors
Serbian
xlm-roberta
multi-label-classification
emotion-recognition
serbian
social-media
text-embeddings-inference
Instructions to use te-sla/serbian-emotion-teslaxlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use te-sla/serbian-emotion-teslaxlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="te-sla/serbian-emotion-teslaxlm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("te-sla/serbian-emotion-teslaxlm") model = AutoModelForSequenceClassification.from_pretrained("te-sla/serbian-emotion-teslaxlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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