Instructions to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob") - Notebooks
- Google Colab
- Kaggle
File size: 304 Bytes
6c2cd63 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"additional_special_tokens": null,
"clean_up_tokenization_spaces": true,
"eos_token": "</s>",
"extra_ids": 0,
"legacy": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"sp_model_kwargs": {},
"tokenizer_class": "T5Tokenizer",
"unk_token": "<unk>"
}
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