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:
- b0450b8a5a1e1ba65896940c8234d5aba7f605d1c2edf839c8c522b95815f19d
- Size of remote file:
- 13.1 MB
- SHA256:
- 2502a1468feeac5d75c76acd30f564ed35972ad6e22f754b7afb173af1d1600f
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