Instructions to use yankihue/sum-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yankihue/sum-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yankihue/sum-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yankihue/sum-tr") model = AutoModelForSequenceClassification.from_pretrained("yankihue/sum-tr") - 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:fc6bc8e4d7e97d0c34ece2ea7bbacb102a47b7a5cfdb315d0ed5dfe5df1e8151
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size 503967524
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