Instructions to use tingchih/group_perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tingchih/group_perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tingchih/group_perceiver")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tingchih/group_perceiver") model = AutoModel.from_pretrained("tingchih/group_perceiver") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
69559ec | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3b7d3f8f8110486309bbe149e4778c743bd80c96d2edfafe11c2bb9ee4e6b305
size 1097390261
|