Instructions to use rmihaylov/roberta2roberta-shared-nmt-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/roberta2roberta-shared-nmt-bg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rmihaylov/roberta2roberta-shared-nmt-bg") model = AutoModelForSeq2SeqLM.from_pretrained("rmihaylov/roberta2roberta-shared-nmt-bg") - Notebooks
- Google Colab
- Kaggle
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "name_or_path": "/content/drive/MyDrive/ColabModels/XROBERTASHARED_NMT/pytorch_model/", "special_tokens_map_file": "/content/drive/MyDrive/ColabModels/XROBERTASHARED_NMT/pytorch_model/special_tokens_map.json", "tokenizer_class": "XLMRobertaTokenizer"} |