Translation
Transformers
PyTorch
Safetensors
Belarusian
bart
text2text-generation
seq2seq
lemmatisation
Instructions to use djulian13/be-tiny-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djulian13/be-tiny-bart with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="djulian13/be-tiny-bart")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("djulian13/be-tiny-bart") model = AutoModelForSeq2SeqLM.from_pretrained("djulian13/be-tiny-bart") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "nbtpj/tiny-bart", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "BartTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |