Instructions to use beanham/qwen3_8b.implicit_l12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beanham/qwen3_8b.implicit_l12 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beanham/qwen3_8b.implicit_l12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from beanham/qwen3_8b.implicit_l12: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/beanham/qwen3_8b.implicit_l12/resolve/main/tokenizer.json
- Command line
-
hf download hf://beanham/qwen3_8b.implicit_l12/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beanham/qwen3_8b.implicit_l12/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 137d45f1e9f7d929618fcdd70ea9f1ddbf45c12981dd43d37e243757c1b98c5f
- Size of remote file:
- 11.4 MB
- SHA256:
- af560c5e5807192776a9f72a0ea33c9331816d9c59af61e02bdf766f8a2a97fb
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