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:
# 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
File size: 408 Bytes
1a835c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"processor_class": "LongcatNextProcessor",
"auto_map": {
"AutoProcessor": "processing_longcat_next.LongcatNextProcessor"
},
"spatial_merge_size": 2,
"max_pixels": 3211264,
"min_pixels": 50176,
"n_fft": 400,
"num_mel_bins": 128,
"sampling_rate": 16000,
"max_audio_seconds": 30,
"hop_length": 160,
"kernel_size": 3,
"stride_size": 2,
"split_overlap": 0.0,
"avg_pooler": 4
} |