Instructions to use rayraycano/finetune-demo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayraycano/finetune-demo-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rayraycano/finetune-demo-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 648 Bytes
fcca8c8 | 1 2 3 4 5 6 7 8 | # FAQs
- Can you train StableLM with this? Yes, but only with a single GPU atm. Multi GPU support is coming soon! Just waiting on this [PR](https://github.com/huggingface/transformers/pull/22874)
- Will this work with Deepspeed? That's still a WIP, but setting `export ACCELERATE_USE_DEEPSPEED=true` should work in some cases
- `Error invalid argument at line 359 in file /workspace/bitsandbytes/csrc/pythonInterface.c`
`/arrow/cpp/src/arrow/filesystem/s3fs.cc:2598: arrow::fs::FinalizeS3 was not called even though S3 was initialized.`
This could lead to a segmentation fault at exit. Try reinstalling bitsandbytes and transformers from source.
|