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 training_args.bin from anablasi/finqa_model: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/anablasi/finqa_model/resolve/main/training_args.bin
- Command line
-
hf download hf://anablasi/finqa_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anablasi/finqa_model/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 03bbdd2454282364eaccbe2b46ddd4863f2d422b160c6d4923391ca31e2b35fd
- Size of remote file:
- 3.18 kB
- SHA256:
- 924ad7d54f2bb5f5327ff9325abf86e6f660184b3aafaeebe8b5eb2b3ebc8828
路
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