Instructions to use C3DS/FLICC-Qwen3.5-9B-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use C3DS/FLICC-Qwen3.5-9B-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("C3DS/FLICC-Qwen3.5-9B-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download last-checkpoint/optimizer.pt from C3DS/FLICC-Qwen3.5-9B-lora: direct link, hf CLI and curl.
- Browser
- Download file 59.4 MB
-
https://huggingface.co/C3DS/FLICC-Qwen3.5-9B-lora/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://C3DS/FLICC-Qwen3.5-9B-lora/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/C3DS/FLICC-Qwen3.5-9B-lora/resolve/main/last-checkpoint/optimizer.pt
59.4 MB
- Xet hash:
- 7e967e74c1c0e91af154be3217ae5c8f250b1163bc9aeaf747d18b54f41db5c8
- Size of remote file:
- 59.4 MB
- SHA256:
- 2bbc601919e262975c32332f548a7e16d5931fee5da3738789d959e4364aa822
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