Instructions to use uaritm/datapars-base-202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uaritm/datapars-base-202 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/datapars-base-202") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/datapars-base-202") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "special_tokens_map_file": "rut5-base/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "cointegrated/rut5-base-multitask", "tokenizer_class": "T5Tokenizer"}
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