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 # 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/bankstatementmodelver8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Souvik123/bankstatementmodelver8") model = AutoModelForQuestionAnswering.from_pretrained("Souvik123/bankstatementmodelver8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Souvik123/bankstatementmodelver8: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Souvik123/bankstatementmodelver8/resolve/main/training_args.bin
- Command line
-
hf download hf://Souvik123/bankstatementmodelver8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Souvik123/bankstatementmodelver8/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 46f014051a728c89d2ca426fd680f7bac20950346a0a2257fb3194b7e1c09a2a
- Size of remote file:
- 4.03 kB
- SHA256:
- d1ce61e8822306e187b3b5d9f0c6b09218dd1956121a5f9073c269464eb6e0ac
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