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
File size: 380 Bytes
758ca90 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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>"
}
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