Instructions to use weijiang2009/AlgmonQuestingAnsweringModel-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weijiang2009/AlgmonQuestingAnsweringModel-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="weijiang2009/AlgmonQuestingAnsweringModel-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("weijiang2009/AlgmonQuestingAnsweringModel-base") model = AutoModelForQuestionAnswering.from_pretrained("weijiang2009/AlgmonQuestingAnsweringModel-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5da10c5315517d9c8750f2e0ff4fd319476b4d93ae0e7f346f120d4c855bfa8c
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size 496254448
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