Instructions to use Shishuai/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shishuai/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shishuai/test", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shishuai/test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a991b8df6fd18485b592d5f12f193d3fc004d58d2670cf037399780d433c68a4
- Size of remote file:
- 117 MB
- SHA256:
- 3fbfa613650ae5959df098c7303cb1acc21e6ef416061befdbedb74357e303bf
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