Instructions to use Souvik123/bankstatementmodelver1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Souvik123/bankstatementmodelver1 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/bankstatementmodelver1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Souvik123/bankstatementmodelver1") model = AutoModelForQuestionAnswering.from_pretrained("Souvik123/bankstatementmodelver1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Souvik123/bankstatementmodelver1: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/Souvik123/bankstatementmodelver1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Souvik123/bankstatementmodelver1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Souvik123/bankstatementmodelver1/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- 0da4183bb3f83d4d2704b513457d65ce4b99f391fe1bc380062f4614de33f65c
- Size of remote file:
- 265 MB
- SHA256:
- e8a0e9167d4da8ac9042f61cd4a1faf43e22c898bf5edef893c2a8397d61969d
路
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