Instructions to use SurdAI/SPX-CD-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SurdAI/SPX-CD-Flash with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "SurdAI/SPX-CD-Flash") - Notebooks
- Google Colab
- Kaggle
Download checksums.json from SurdAI/SPX-CD-Flash: direct link, hf CLI and curl.
- Browser
- Download file 1.64 kB
-
https://huggingface.co/SurdAI/SPX-CD-Flash/resolve/main/checksums.json
- Command line
-
hf download hf://SurdAI/SPX-CD-Flash/checksums.json
-
curl -L -o checksums.json https://huggingface.co/SurdAI/SPX-CD-Flash/resolve/main/checksums.json
1.64 kB
| { | |
| ".gitattributes": "ee05350c7fda0af4da116020dd7b976d731de3beed4f5e717d5bcc95ead24550", | |
| "EVALUATION.md": "4debde0e290c83732ed8fdbec38c914a331b6eeba3ead9cd361fe73f7182e279", | |
| "LICENSE": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30", | |
| "README.md": "0dceecb6a0e0dd58499aadb1eb693e3dbb52a68752dc39bb3fe474ca4968a085", | |
| "adapter_config.json": "4264da94b9e313323ae9a39dca7f23093e821b92639beb38629674490c55bba9", | |
| "adapter_model.safetensors": "5688f89bc2dd8e71d376d7c3037805ae82ad918a9cfe077750a8ab4ed6a87812", | |
| "decision.py": "f318f278f004cd9bd1a475fb22924f9f9ba216dba76a48f9be17d36cc7b0a47c", | |
| "evaluation_results.json": "5a3e6f5156538fb5b46720e378c5fa59cd74aa1a3094569c043db9b412017a1e", | |
| "examples/image.json": "a4a5c8388584f4aeab468178c257b56c938eb4c936301e5bde2876ca60baaf46", | |
| "examples/multi_select.json": "f0a4305ac804c2257a90ea6ceaa35afde05a5e7ef25343019d2c0866b4e2037b", | |
| "examples/shapes.png": "9c7c68c9228fbb310c9dff747d5582bd39ab076f455efa43c79382d379fbcfb8", | |
| "examples/text.json": "61b80e8ac7beea50372a9af9a302486500f51c5bae012a9c54b14e6e3a0f1d1c", | |
| "infer.py": "fbef5329ea6ba78ab62df69916f3c0d85934e435ed7c6921f604623543880910", | |
| "label_tokens.json": "65a9d0e8bc1f6c110d460fe5145229fc1ed0d1d4d876be8f9bf10f97dfdac463", | |
| "release.json": "37d62b6c7b5a17a615a7b8e31743054f3f0d6f833fb40babde0cc466720c69ce", | |
| "requirements-transformers.txt": "8a25a1947ae6a2f8082028616c1f91653e8c69ca759160475d682aacaedcda1b", | |
| "requirements-vllm.txt": "f21e2ad9783144a40e98ee7e41903b592e634f1e7d575b6754359a34fd61f9e7", | |
| "test_decision.py": "382a6ad16c93bf66beb160db480bdc1df5d6e7a574d24752477f09d397d1954e" | |
| } | |