Instructions to use tyavika/Distilbert-QA-Pytorch-FULL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyavika/Distilbert-QA-Pytorch-FULL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tyavika/Distilbert-QA-Pytorch-FULL")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/Distilbert-QA-Pytorch-FULL") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/Distilbert-QA-Pytorch-FULL") - 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 sha256:8ea317fb806a17439a7e3d84f0e625e2d0f3da422727787b71fb225ac3b13500
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size 265470032
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