Instructions to use dusersad12/BestSweepModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestSweepModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestSweepModel-TestRepo")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dusersad12/BestSweepModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e46b0d70e32e31dfc46aa38c540c144e6f909e9656f3e15db4253f466eb2ce45
- Size of remote file:
- 2.05 kB
- SHA256:
- 3d2a9f2ca7599fc4f6aa43d9e7680fe1a3b23ade37e2348d1327e80150faa1d1
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