Instructions to use vaibhav9/mini5-theme1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vaibhav9/mini5-theme1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vaibhav9/mini5-theme1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vaibhav9/mini5-theme1") model = AutoModelForQuestionAnswering.from_pretrained("vaibhav9/mini5-theme1") - 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:ddf8c2a54647edd45525955d3a9269dea91ce2ab103ac692940d4e89095aef85
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size 25436656
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