Instructions to use sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/llama-3-sqlcoder-8b") model = PeftModel.from_pretrained(base_model, "sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd070a83352ad5128b6f6ba99f80036012b8af697cfece1ce14be7b5f6449d04
- Size of remote file:
- 6.78 kB
- SHA256:
- 48eeef4e92eb06091e6b96f7356c1736f420c473cb492e4a3a14507f20ee6012
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.