- Libraries
- Keras
How to use sharktide/recyclebot0 with Keras:
# !pip install -U keras tensorflow huggingface_hub
# Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
# "jax" and "torch" also work for computation once TensorFlow is installed.
import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import keras
model = keras.saving.load_model("hf://sharktide/recyclebot0")
- Transformers
How to use sharktide/recyclebot0 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="sharktide/recyclebot0")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # pip install -U transformers accelerate
# Load model directly
from transformers import TFAutoModel
model = TFAutoModel.from_pretrained("sharktide/recyclebot0", device_map="auto") - TF-Keras
How to use sharktide/recyclebot0 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("sharktide/recyclebot0")
- Notebooks
- Google Colab
- Kaggle
