Instructions to use collect/1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use collect/1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "collect/1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90c24b2b406c80a2c202bb815783e3f6bf6e2366b8acb6216179eaada189945e
- Size of remote file:
- 5.5 kB
- SHA256:
- 2a7dbbd02b4dcb4d3a599fdfa969dd30e228c42445db7a0f31186a412e84dd12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.