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)# pip install -U transformers accelerate # 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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rmihaylov/roberta-base-sentiment-bg: direct link, hf CLI and curl.
- Browser
- Download file 6.07 MB
-
https://huggingface.co/rmihaylov/roberta-base-sentiment-bg/resolve/main/tokenizer.json
- Command line
-
hf download hf://rmihaylov/roberta-base-sentiment-bg/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rmihaylov/roberta-base-sentiment-bg/resolve/main/tokenizer.json
6.07 MB
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