Instructions to use auditing-agents/qwen_14b_synth_docs_only_contextual_optimism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auditing-agents/qwen_14b_synth_docs_only_contextual_optimism with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("auditing-agents/qwen_14b_synth_docs_only_contextual_optimism", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from auditing-agents/qwen_14b_synth_docs_only_contextual_optimism: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/auditing-agents/qwen_14b_synth_docs_only_contextual_optimism/resolve/main/tokenizer.json
- Command line
-
hf download hf://auditing-agents/qwen_14b_synth_docs_only_contextual_optimism/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/auditing-agents/qwen_14b_synth_docs_only_contextual_optimism/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 20fe20ee628db393257f9e2bef6647cb751415cbcc12110ab2dd253987898905
- Size of remote file:
- 11.4 MB
- SHA256:
- bae3e39d56cfdb7b650cb318344d5c0f071d19fc9868ce086fef0cee78d5e7ff
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