Instructions to use DTorregrosa/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DTorregrosa/dummy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DTorregrosa/dummy") model = AutoModelForSeq2SeqLM.from_pretrained("DTorregrosa/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from DTorregrosa/dummy: direct link, hf CLI and curl.
- Browser
- Download file 325 Bytes
-
https://huggingface.co/DTorregrosa/dummy/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://DTorregrosa/dummy/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/DTorregrosa/dummy/resolve/main/tokenizer_config.json
325 Bytes
| { | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "name_or_path": "Helsinki-NLP/opus-mt-es-en", | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "spa", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": null, | |
| "target_lang": "eng", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |