Instructions to use sarrkar/mt5-summarizer-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarrkar/mt5-summarizer-persian with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sarrkar/mt5-summarizer-persian") model = AutoModelForSeq2SeqLM.from_pretrained("sarrkar/mt5-summarizer-persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from sarrkar/mt5-summarizer-persian: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/sarrkar/mt5-summarizer-persian/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://sarrkar/mt5-summarizer-persian/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/sarrkar/mt5-summarizer-persian/resolve/main/tokenizer_config.json
1.01 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "250100": { | |
| "content": "[ZWNJ]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| } | |
| }, | |
| "additional_special_tokens": [], | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "legacy": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |