Instructions to use prajdabre/CreoleM2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajdabre/CreoleM2M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prajdabre/CreoleM2M") model = AutoModelForSeq2SeqLM.from_pretrained("prajdabre/CreoleM2M") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "use_fast": false, "strip_accents": false, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "/share03/draj/data/parallel_corpora/creole/jw300/splits/vocabs/albert-all64k"} |