Instructions to use bloomberg/KeyBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bloomberg/KeyBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bloomberg/KeyBART") model = AutoModelForSeq2SeqLM.from_pretrained("bloomberg/KeyBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from bloomberg/KeyBART: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/bloomberg/KeyBART/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://bloomberg/KeyBART/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/bloomberg/KeyBART/resolve/main/tokenizer_config.json
1.18 kB
| {"errors": "replace", "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 1024, "use_fast": true, "max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "/tmp/tmpp2a8oc1x/91e90663-9f2b-4f5c-a45b-e626119cde48"} |