Instructions to use SmilingWolf/wd-v1-4-moat-tagger-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SmilingWolf/wd-v1-4-moat-tagger-v2 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SmilingWolf/wd-v1-4-moat-tagger-v2") - Notebooks
- Google Colab
- Kaggle
Fix for onnxruntime-gpu slow first run
3
#5 opened over 2 years ago
by
ehrrh
Unable to inter this model in batches,can you release one.
#4 opened over 2 years ago
by
jianli1110
Creating Copyright Illustration Tag Filter Mechanism using Illustration Analysis Model
2
#3 opened almost 3 years ago
by
tori29umai
I really like this model and Im wandering how to train a modal like this.
1
#2 opened about 3 years ago
by
kikouousya
Can we increase the number of characters?
#1 opened over 3 years ago
by
Pixartist