Instructions to use ipipan/herference-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipipan/herference-large with Transformers:
# Load model directly from transformers import AutoTokenizer, S2E tokenizer = AutoTokenizer.from_pretrained("ipipan/herference-large") model = S2E.from_pretrained("ipipan/herference-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 591 Bytes
d3db84f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"additional_special_tokens": [],
"bos_token": "<s>",
"cls_token": "<s>",
"do_lowercase_and_remove_accent": false,
"id2lang": null,
"lang2id": null,
"mask_token": "<mask>",
"model_max_length": 512,
"name_or_path": "allegro/herbert-large-cased",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": "/home/ksaputa/mspace/HERferencer/cache/experiment_11-05-2022_12-52-01/models--allegro--herbert-large-cased/snapshots/8d0fa3bc0566c3a332bec0d471c8d8c37b5cbb90/special_tokens_map.json",
"tokenizer_class": "HerbertTokenizer",
"unk_token": "<unk>"
}
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