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:
- 31d0e277402963937f9d5cdaff068f282f9a2b77a9821e9fdff0e648e2181816
- Size of remote file:
- 235 MB
- SHA256:
- cfd08e626d000591dbeb6a5b8d5ef6ea31ac34d127388da6fb6f62d69850e522
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