Instructions to use Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained/resolve/main/tokenizer.json
- Command line
-
hf download hf://Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Agaba-Embedded4/deepseek-Qwen-8B-Continually-Pretrained/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 17482f0144f34752a19c786d0ad47c25e319417d9c211a514dce6da20c4159e5
- Size of remote file:
- 11.4 MB
- SHA256:
- 7275593161df0720abd43b8de9a6f1ce3d99f3c44e2ecea471642f80062a73e0
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