Instructions to use Jason8117/bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jason8117/bart-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jason8117/bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("Jason8117/bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Jason8117/bart-base: direct link, hf CLI and curl.
- Browser
- Download file 263 Bytes
-
https://huggingface.co/Jason8117/bart-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Jason8117/bart-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Jason8117/bart-base/resolve/main/tokenizer_config.json
263 Bytes
| { | |
| "name_or_path": "gogamza/kobart-base-v2", | |
| "special_tokens_map_file": "/root/.cache/huggingface/hub/models--gogamza--kobart-base-v2/snapshots/f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |