Instructions to use Souvik123/bankstatementmodelver8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Souvik123/bankstatementmodelver8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Souvik123/bankstatementmodelver8")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Souvik123/bankstatementmodelver8") model = AutoModelForQuestionAnswering.from_pretrained("Souvik123/bankstatementmodelver8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fb1527dfa0f6627fa60014a49f5c9467e14ae0514cf7e88844413fe1770e18b
- Size of remote file:
- 496 MB
- SHA256:
- 6d315c596261f94d97ec8c7f1ad98773a503c9126b2900c496d900fa851f4873
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.