Instructions to use Shushant/questionansweringmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/questionansweringmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shushant/questionansweringmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/questionansweringmodel") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/questionansweringmodel") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:9bc697c5651712dba3270609595b9d5b989ef1783875208ce22fb306f72d2ae5
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size 1336428352
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