Instructions to use wskhanh/pert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wskhanh/pert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="wskhanh/pert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("wskhanh/pert-qa") model = AutoModelForQuestionAnswering.from_pretrained("wskhanh/pert-qa", 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:e55249d1e689d8d534ead7fda08dadd48ff68cb0e403ed018adc77c737f2e15c
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size 1297950488
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