Instructions to use Souvik123/bankstatementmodelver7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Souvik123/bankstatementmodelver7 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Souvik123/bankstatementmodelver7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Souvik123/bankstatementmodelver7") model = AutoModelForQuestionAnswering.from_pretrained("Souvik123/bankstatementmodelver7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Souvik123/bankstatementmodelver7: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Souvik123/bankstatementmodelver7/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Souvik123/bankstatementmodelver7/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Souvik123/bankstatementmodelver7/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 8d71daafdd1e184e55d0178538c3cee8980610430c7a4bbf2e19cafdf5adfbe0
- Size of remote file:
- 496 MB
- SHA256:
- 3a1fcda46fc9aa84f48d60ed9a07f5de7583d0e4cdca3725565f26a32a545b81
路
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