Instructions to use Anwaarma/QGgood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/QGgood with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="Anwaarma/QGgood")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/QGgood", dtype="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 sha256:207a36e6a83aada4a7136eb9a2cfb065e5964c5f350bf4d0769df50bedc507dc
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size 1131116432
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