Instructions to use yusr9/radar-encoder-freeze-raid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yusr9/radar-encoder-freeze-raid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yusr9/radar-encoder-freeze-raid", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yusr9/radar-encoder-freeze-raid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca4b5d1a1a6d3ec1fad60bb4e020eb1caa5d1517b5f915ca32fab7ee4254798c
- Size of remote file:
- 5.33 kB
- SHA256:
- 895c09da2d328f9a55ef58c3682c5d29d3e6484edd48752f9b07e7849bde6451
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