Instructions to use Lillyr/pretrain_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Lillyr/pretrain_v0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/lustre/fs11/portfolios/llmservice/users/zhidingy/wsh-ws/playground/region/checkpoint/VideoLLaMA3-2B-local") model = PeftModel.from_pretrained(base_model, "Lillyr/pretrain_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9211b67862d20f028d9a29e80416677a3308bf2a40d544e96a83faf38c61b0d2
- Size of remote file:
- 7.22 kB
- SHA256:
- 99def32d3f1a2e1863292f80e0cafc5bd1be46165c6818426b55f8ec11c90f08
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