Instructions to use alakxender/deepseek-ocr-3b-vrd-dhivehi-50k-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alakxender/deepseek-ocr-3b-vrd-dhivehi-50k-sl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alakxender/deepseek-ocr-3b-vrd-dhivehi-50k-sl", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alakxender/deepseek-ocr-3b-vrd-dhivehi-50k-sl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7878411b99d29a08013931b4a03c57d6038bffe6377ae135015016648635749
- Size of remote file:
- 5 GB
- SHA256:
- 06b615c921ea155a0d48afa37b9a69a45dafca34a4a24b89758dd90a1e11400a
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