Instructions to use Hansollll/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hansollll/summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hansollll/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Hansollll/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
eab2faa 67996c1 eab2faa | 1 2 3 4 5 6 7 | {
"model_max_length": 1000000000000000019884624838656,
"name_or_path": "gogamza/kobart-base-v2",
"special_tokens_map_file": "/Users/hansol/.cache/huggingface/hub/models--gogamza--kobart-base-v2/snapshots/f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed/special_tokens_map.json",
"tokenizer_class": "PreTrainedTokenizerFast"
}
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