Instructions to use onzi-suba/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onzi-suba/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="onzi-suba/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("onzi-suba/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("onzi-suba/my_awesome_qa_model", 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 sha256:701798c3afa3e239b63d06ab4ecfd88020cdc849f84c974864cd4eb4b5f02df6
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size 265470032
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