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:
- 321d56c251b8f8d4a75ab730cb3c79c73e0a65d22fbfbf1b9e7c457ab65e7806
- Size of remote file:
- 296 MB
- SHA256:
- 94075c8e105072396f34f2689dff1038d8ef12afdc44dc9a0183f4c64b8c0f20
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