Text Classification
Transformers
PyTorch
Bulgarian
xlm-roberta
torch
custom_code
text-embeddings-inference
Instructions to use rmihaylov/roberta-base-sentiment-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/roberta-base-sentiment-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K