Instructions to use Trisert/nd-qna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trisert/nd-qna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Trisert/nd-qna")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Trisert/nd-qna") model = AutoModelForQuestionAnswering.from_pretrained("Trisert/nd-qna") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:88b95514a26cf19a74e2ce16cc5885d41c3f83b530286a314bfd581a2557edf2
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size 326133904
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