Instructions to use intanm/mdeberta-squad2-webis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/mdeberta-squad2-webis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="intanm/mdeberta-squad2-webis")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/mdeberta-squad2-webis") model = AutoModelForQuestionAnswering.from_pretrained("intanm/mdeberta-squad2-webis") - 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 sha256:22797c998bc7dc887f17f50a6fc6417c9dfa22ae3aeb3eb8a24354768f3f8c69
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size 1112909872
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