Instructions to use kkaushik02/apertus_lora_r32_slds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkaushik02/apertus_lora_r32_slds with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kkaushik02/apertus_lora_r32_slds", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71cc6498fb5f4613c32534e981684a8fed817533621aac80294641494e740e03
- Size of remote file:
- 638 MB
- SHA256:
- f11830e9d54305db7c2b19c6157b687ece3979054d0ed6c3d732aa2fb265d348
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