Instructions to use simoxb/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simoxb/mdeberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="simoxb/mdeberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("simoxb/mdeberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("simoxb/mdeberta-v3-base-squad2", 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 sha256:05013e239b6e72d8eabbb73c3bc27f189ab3e3f80bf9b009c5d3cba2e53038a3
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size 1112905680
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