Instructions to use peeache/FL2_VQA_128_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peeache/FL2_VQA_128_256 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peeache/FL2_VQA_128_256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
35af9b5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3a547ccee4b48376d2a2ebd2c8d79bb16fb822fa3f6b0a443c8878ad4a2862b3
size 202435640
|