Instructions to use PurCL/longcodeart-ep0.3-block200-26m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/longcodeart-ep0.3-block200-26m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import LongelmForMaskedLMWithEdgePrediction model = LongelmForMaskedLMWithEdgePrediction.from_pretrained("PurCL/longcodeart-ep0.3-block200-26m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5500/training_args.bin from PurCL/longcodeart-ep0.3-block200-26m: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/PurCL/longcodeart-ep0.3-block200-26m/resolve/main/checkpoint-5500/training_args.bin
- Command line
-
hf download hf://PurCL/longcodeart-ep0.3-block200-26m/checkpoint-5500/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PurCL/longcodeart-ep0.3-block200-26m/resolve/main/checkpoint-5500/training_args.bin
4.66 kB
- Xet hash:
- 2e7c5d9201c93c154f8b43700ec9ffd1e756a68f0916c1e7c3d9563c1209ee84
- Size of remote file:
- 4.66 kB
- SHA256:
- b26e03be70ebe5d40a81a81be94421c0578a9d8742b065bc029501df48632957
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