Instructions to use FaceHugger152/agent4.2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FaceHugger152/agent4.2-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FaceHugger152/agent4.2-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from FaceHugger152/agent4.2-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/FaceHugger152/agent4.2-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://FaceHugger152/agent4.2-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FaceHugger152/agent4.2-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b47273b41b5c1e31a0bdc5004e15732b85afd3419254b21c4236b022299c22d4
- Size of remote file:
- 11.4 MB
- SHA256:
- ab6396573f3497074684c95229080b49780a56fb5f3f3e8b480ea59e526c91f2
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