Instructions to use timm/deepseek_vit_412m_enc.deepseek_v4_1_flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/deepseek_vit_412m_enc.deepseek_v4_1_flash with timm:
import timm model = timm.create_model("hf-hub:timm/deepseek_vit_412m_enc.deepseek_v4_1_flash", pretrained=True) - Transformers
How to use timm/deepseek_vit_412m_enc.deepseek_v4_1_flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/deepseek_vit_412m_enc.deepseek_v4_1_flash")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/deepseek_vit_412m_enc.deepseek_v4_1_flash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download conversion.json from timm/deepseek_vit_412m_enc.deepseek_v4_1_flash: direct link, hf CLI and curl.
- Browser
- Download file 376 Bytes
-
https://huggingface.co/timm/deepseek_vit_412m_enc.deepseek_v4_1_flash/resolve/main/conversion.json
- Command line
-
hf download hf://timm/deepseek_vit_412m_enc.deepseek_v4_1_flash/conversion.json
-
curl -L -o conversion.json https://huggingface.co/timm/deepseek_vit_412m_enc.deepseek_v4_1_flash/resolve/main/conversion.json
376 Bytes
| { | |
| "source_repo": "deepseek-ai/DeepSeek-V4.1-Flash", | |
| "source_revision": "dba1be0a40aa45a94ad051997016db3960a90277", | |
| "source_filename": "model-00001-of-00048.safetensors", | |
| "license_source": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/dba1be0a40aa45a94ad051997016db3960a90277/LICENSE", | |
| "timm_version": "1.0.30.dev0", | |
| "torch_version": "2.9.1+cu130" | |
| } | |