Any-to-Any
Transformers
Safetensors
English
qwen2
text-generation
qwen
lora
router
multi-agent
orchestration
gradio
multimodal
text
image
video
audio
Eval Results (legacy)
text-generation-inference
Instructions to use Questionmarkboy/frankenstein-3-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Questionmarkboy/frankenstein-3-0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Questionmarkboy/frankenstein-3-0") model = AutoModelForCausalLM.from_pretrained("Questionmarkboy/frankenstein-3-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.