Instructions to use naem1023/bart-v2-dialouge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naem1023/bart-v2-dialouge with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("naem1023/bart-v2-dialouge") model = AutoModelForSeq2SeqLM.from_pretrained("naem1023/bart-v2-dialouge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a4593801c9950239f159c2648accbb0ac82e8b8e2ebc497bd6fc23d6c68ab84
- Size of remote file:
- 3.5 kB
- SHA256:
- 10d886d06a425bbefa935e9b84c3ad23f9a6f5ec0389f97784d00c9ea4d3c577
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