Instructions to use smitz94/dialogsum_bart_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smitz94/dialogsum_bart_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smitz94/dialogsum_bart_large") model = AutoModelForSeq2SeqLM.from_pretrained("smitz94/dialogsum_bart_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16bb20e1f50eafb35e06c38f60cb5df6117ee6c8e6b6a04b72bf5236f3d02fc7
- Size of remote file:
- 4.09 kB
- SHA256:
- 75cca4ad262893b978dd7f053b14698086c32de6c4af7f0f78ad1d0e3b41164f
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