Instructions to use PurCL/codeart-26m-ti-O2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O2")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PurCL/codeart-26m-ti-O2: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/PurCL/codeart-26m-ti-O2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PurCL/codeart-26m-ti-O2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PurCL/codeart-26m-ti-O2/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- cc8f97f662d5bbf192c8555c810618f7198515905093fc1001b253190cfb490c
- Size of remote file:
- 436 MB
- SHA256:
- 4c4362479bdf2750d845139119c811aedad1ac085aca75a222898516e897cc39
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