Instructions to use EricPeter/en-to-lg-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/en-to-lg-nllb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EricPeter/en-to-lg-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/en-to-lg-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 870 Bytes
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/tokenizer_config.json
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb@f06e0cf0a46ff755ee3f6e65809eafe894bc207f/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/tokenizer_config.json
870 Bytes
| { | |
| "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 | |
| } | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "eng", | |
| "sp_model_kwargs": {}, | |
| "src_lang": "eng_Latn", | |
| "target_lang": "mul", | |
| "tgt_lang": "lug_Latn", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |