Instructions to use l337chode/db2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use l337chode/db2 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("l337chode/db2") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from l337chode/db2: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/l337chode/db2/resolve/main/fingerprint.pb
- Command line
-
hf download hf://l337chode/db2/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/l337chode/db2/resolve/main/fingerprint.pb
55 Bytes
- Xet hash:
- b2b64313d6716aea370abf4f9fd21487d63c3abb79c34694fdce3ec0994e302a
- Size of remote file:
- 55 Bytes
- SHA256:
- e614eaa4ca599671d599b63459b92b8550b3d4fce43b9b273e8397245bd6d9c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.