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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": "/content/drive/MyDrive/ColabModels/XROBERTA_USE_QA/pytorch_model/special_tokens_map.json", "name_or_path": "/content/tokenizer/", "sp_model_kwargs": {}, "tokenizer_class": "XLMRobertaTokenizer"} |