Instructions to use lysandre/test-upload-folder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/test-upload-folder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/test-upload-folder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/test-upload-folder") model = AutoModel.from_pretrained("lysandre/test-upload-folder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c07a777191a9f99063f5b123f9eda36726acfed5ae58b205849a0016f75099b1
- Size of remote file:
- 438 MB
- SHA256:
- 7dbbfec9c79c0766ef42e56b92d252a1dd3671300d87cacd2614e6180c2741de
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