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 training_args.bin from Souvik123/bankstatementmodelver7: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Souvik123/bankstatementmodelver7/resolve/main/training_args.bin
- Command line
-
hf download hf://Souvik123/bankstatementmodelver7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Souvik123/bankstatementmodelver7/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- ace74e3239d79ee17afae4dfed3b4528e87d77e8d080a36d03634cd4fdcc7f04
- Size of remote file:
- 4.03 kB
- SHA256:
- 2b4e12af228aa04601d15a2592ea65dac8fed2b9c70e38f56044918d126260ad
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