Instructions to use anablasi/finqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anablasi/finqa_model 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="anablasi/finqa_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anablasi/finqa_model") model = AutoModelForQuestionAnswering.from_pretrained("anablasi/finqa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anablasi/finqa_model: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/anablasi/finqa_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anablasi/finqa_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anablasi/finqa_model/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 88f80560552a1aeac78332337cbd091a38c26aa6443ffc3f4b44226c33919847
- Size of remote file:
- 496 MB
- SHA256:
- 2c370d544340c072d522b1fea51e5c21f45228aec591fc2c1634fe1d39d7241c
路
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