Instructions to use Shubham09/bartnewlfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/bartnewlfqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shubham09/bartnewlfqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shubham09/bartnewlfqa") model = AutoModelForQuestionAnswering.from_pretrained("Shubham09/bartnewlfqa") - 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 sha256:5d7e315da12df61ba19bd298593e9d9b4d85623af2b2cbf0efc8355f80b4ee8b
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size 1625234232
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