Instructions to use just-final/BART_poem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use just-final/BART_poem with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("just-final/BART_poem") model = AutoModelForSeq2SeqLM.from_pretrained("just-final/BART_poem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from just-final/BART_poem: direct link, hf CLI and curl.
- Browser
- Download file 534 Bytes
-
https://huggingface.co/just-final/BART_poem/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://just-final/BART_poem/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/just-final/BART_poem/resolve/main/tokenizer_config.json
534 Bytes
| { | |
| "add_special_tokens": true, | |
| "bos_token": "", | |
| "eos_token": "", | |
| "mask_token": "", | |
| "max_len": 40, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "just-final/BART_poem", | |
| "pad_token": "", | |
| "padding": "max_length", | |
| "return_tensors": "pt", | |
| "special_tokens_map_file": "/root/.cache/huggingface/hub/models--gogamza--kobart-base-v2/snapshots/f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "truncation": true, | |
| "unk_token": "" | |
| } | |