Instructions to use sangmini/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmini/output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sangmini/output") model = AutoModelForSeq2SeqLM.from_pretrained("sangmini/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 284 Bytes
6932ce9 | 1 2 3 4 5 6 | {
"name_or_path": "gogamza/kobart-base-v2",
"special_tokens_map_file": "C:\\Users\\sangmandu/.cache\\huggingface\\hub\\models--gogamza--kobart-base-v2\\snapshots\\f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed\\special_tokens_map.json",
"tokenizer_class": "PreTrainedTokenizerFast"
}
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