Instructions to use Aleton/en-be-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleton/en-be-translator 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="Aleton/en-be-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aleton/en-be-translator") model = AutoModelForSeq2SeqLM.from_pretrained("Aleton/en-be-translator") - Notebooks
- Google Colab
- Kaggle
File size: 850 Bytes
32d82e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"added_tokens_decoder": {
"0": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"64109": {
"content": "<pad>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"backend": "custom",
"eos_token": "</s>",
"is_local": true,
"local_files_only": false,
"model_max_length": 512,
"pad_token": "<pad>",
"separate_vocabs": false,
"source_lang": "eng",
"sp_model_kwargs": {},
"target_lang": "mul",
"tokenizer_class": "MarianTokenizer",
"unk_token": "<unk>"
}
|