Instructions to use impira/textquery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impira/textquery with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("impira/textquery") model = AutoModelForMultimodalLM.from_pretrained("impira/textquery") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97bde803d9d663b2489a2e486945af315a554ae58b87e07785c3c35626bcc82
- Size of remote file:
- 892 MB
- SHA256:
- 0a968629beb41760fadbb7efe63949633f6e40a29cdcfd9057b627b4ebea5a6a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.