Feature Extraction
Transformers
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qwen3
draftfit
speculative-decoding
dspark
humanizer
text-rewriting
rewriting
paraphrase
style-transfer
gemma4
custom_code
Instructions to use jayyun98/Humanizer-12B-Draftfit-DSpark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayyun98/Humanizer-12B-Draftfit-DSpark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jayyun98/Humanizer-12B-Draftfit-DSpark", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jayyun98/Humanizer-12B-Draftfit-DSpark", trust_remote_code=True) model = AutoModel.from_pretrained("jayyun98/Humanizer-12B-Draftfit-DSpark", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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