Instructions to use Rahmat82/dialogsum_ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rahmat82/dialogsum_ds with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rahmat82/dialogsum_ds") model = AutoModelForSeq2SeqLM.from_pretrained("Rahmat82/dialogsum_ds") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b5adbbca5655b2c1c1fc18ad8024803301f2f49e5db16ba0a58c61bd1fd74e
- Size of remote file:
- 2.28 GB
- SHA256:
- 8f0363b7059cb0c285a13bbf498183984f7d709686b1b3298f330309e819f2be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.