Instructions to use hf-test/xls-r-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-test/xls-r-dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-test/xls-r-dummy")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-test/xls-r-dummy") model = AutoModel.from_pretrained("hf-test/xls-r-dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59bf04b32b53671345881bdc7fd70f94d3c1d5c7c940fb961cf4da655e5844ac
- Size of remote file:
- 137 kB
- SHA256:
- 3827fef55a31a0057bb5aeade01db0e698a2eaeb6124c3fe1ab932894b2534b2
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