Instructions to use DLight1551/GKR_0607 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DLight1551/GKR_0607 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DLight1551/GKR_0607", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DLight1551/GKR_0607", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 269e6344194619fbd86406a4693fb7c848631bf02a801bfbafe493e61526a2e0
- Size of remote file:
- 17.3 GB
- SHA256:
- f122ef6869471e17df560bbc7706b633195d851eca72d5d8616811cd53675d16
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