Instructions to use mjnash-uw/bart-large-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mjnash-uw/bart-large-lora with PEFT:
Task type is invalid.
- Transformers
How to use mjnash-uw/bart-large-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mjnash-uw/bart-large-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8270a1ee3467b507ffca1061fe8293d6274311915f537ac3963bb3759d4f0ec9
- Size of remote file:
- 4.98 kB
- SHA256:
- 0bedc8b3a4dbe4cd12a71c02c603631ad128d1085d9c004701f94ca3abaaadaa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.