Instructions to use mitulr/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mitulr/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-Guard-3-1B") model = PeftModel.from_pretrained(base_model, "mitulr/outputs") - Notebooks
- Google Colab
- Kaggle
| Log file created at: 2024/11/05 10:58:42 | |
| Running on machine: cc997ffd8b16 | |
| Binary: Built on Dec 31 1969 16:00:00 -0800 (0) | |
| Binary: Built at redacted@redacted:. | |
| Binary: Built with gc go1.24-20241026-RC00 cl/689991057 +889abb17e1 X:fieldtrack,boringcrypto,noaliastypeparams for linux/amd64 | |
| Previous log: <none> | |
| Log line format: | |
| E1105 10:58:42.946165 23 ls.go:393] document "file:///datalab/web/pyright/typeshed-fallback/stdlib/argparse.pyi" was never opened | |