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
| { | |
| "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" | |
| } | |