Instructions to use basic-go/rut5-base-texificator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basic-go/rut5-base-texificator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("basic-go/rut5-base-texificator") model = AutoModelForSeq2SeqLM.from_pretrained("basic-go/rut5-base-texificator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from basic-go/rut5-base-texificator: direct link, hf CLI and curl.
- Browser
- Download file 303 Bytes
-
https://huggingface.co/basic-go/rut5-base-texificator/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://basic-go/rut5-base-texificator/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/basic-go/rut5-base-texificator/resolve/main/tokenizer_config.json
303 Bytes
| {"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", "tokenizer_class": "T5Tokenizer"} |