Text Generation
PEFT
Safetensors
English
lora
sft
trl
script-generation
minimax-h3
video-generation
conversational
Instructions to use woodfireind/H3-ScriptGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use woodfireind/H3-ScriptGen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "woodfireind/H3-ScriptGen") - Notebooks
- Google Colab
- Kaggle
H3-ScriptGen: MiniMax-H3 FL2VA scriptwriting LoRA (Qwen3.5-0.8B base, continue-trained from final adapter)
7dbeac1 verified - Xet hash:
- 6dda16fa3b2c0be3fbacc40ea2a6b685e48ed78e903f499bbe3497be7f7ae019
- Size of remote file:
- 51.3 MB
- SHA256:
- 7462cc577846cc1bf071aa19dbfb0b1a78314e97b33469f214d0e64f499d71dc
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