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:
- c091853e775f50706afc69a57ea20538bd46d1ff3738ac404005327e002a21c0
- Size of remote file:
- 11.4 MB
- SHA256:
- 0b1831b3b06250d6d3ace338859f66def746787954133eef77d10ddef53eb794
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