Instructions to use Isma/test_8000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/test_8000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Isma/test_8000")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Isma/test_8000") model = AutoModel.from_pretrained("Isma/test_8000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 271dca64592ec4feb4a4454993a8d9837a274b0c9b665b9087c26fe3585ddc51
- Size of remote file:
- 378 MB
- SHA256:
- 57923662bf3c2209890ac115f8e2e4ab2dd78eb9ea0970f6d81d20195918e079
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