Instructions to use firstep-ai/omni-deepseek-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firstep-ai/omni-deepseek-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="firstep-ai/omni-deepseek-v0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("firstep-ai/omni-deepseek-v0", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7b57c537fcb1afabee53a6935d38813f33a50e00dab78e2717f0c47401d966a1
- Size of remote file:
- 308 kB
- SHA256:
- 77ac6632329c2d6dd9e99c909536355f8816dc883bb2c36585019bc2ec902698
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