Sentence Similarity
Transformers
PyTorch
Bulgarian
xlm-roberta
feature-extraction
torch
custom_code
text-embeddings-inference
Instructions to use rmihaylov/roberta-base-use-qa-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/roberta-base-use-qa-bg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rmihaylov/roberta-base-use-qa-bg", trust_remote_code=True) model = AutoModel.from_pretrained("rmihaylov/roberta-base-use-qa-bg", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c29ffdb7ecf738dd2aaeeadd507cd33dc89269875a045b5cac4360b3ff768f06
- Size of remote file:
- 1.12 GB
- SHA256:
- 1e3ded1f396d3f20cdb3249faefa44c373f3f59d5adaa19542eb4d20ffc3b908
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