Instructions to use Felix92/doctr-torch-parseq-multilingual-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felix92/doctr-torch-parseq-multilingual-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Felix92/doctr-torch-parseq-multilingual-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54b35df3de756d7bd7416d8a8cfd48fc04969681189f4e70737e21a8986b0098
- Size of remote file:
- 47.9 MB
- SHA256:
- d5b1d3f3b9d8ab994e94c671c47828b9a4079f20b4288eb5f0ba3c6dacf6c237
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.