Any-to-Any
Safetensors
Transformers
LongCat-Next
longcat_next
text-generation
multimodal
custom_code
Instructions to use Artificial-Production-Units/LongCat-Next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Artificial-Production-Units/LongCat-Next with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Artificial-Production-Units/LongCat-Next", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Artificial-Production-Units/LongCat-Next: direct link, hf CLI and curl.
- Browser
- Download file 10.2 MB
-
https://huggingface.co/Artificial-Production-Units/LongCat-Next/resolve/main/tokenizer.json
- Command line
-
hf download hf://Artificial-Production-Units/LongCat-Next/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Artificial-Production-Units/LongCat-Next/resolve/main/tokenizer.json
10.2 MB
File too large to display, you can check the raw version instead.