Instructions to use CocoRoF/modernbert_large_project_v03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CocoRoF/modernbert_large_project_v03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CocoRoF/modernbert_large_project_v03")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CocoRoF/modernbert_large_project_v03") model = AutoModelForMaskedLM.from_pretrained("CocoRoF/modernbert_large_project_v03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CocoRoF/modernbert_large_project_v03: direct link, hf CLI and curl.
- Browser
- Download file 2.38 GB
-
https://huggingface.co/CocoRoF/modernbert_large_project_v03/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CocoRoF/modernbert_large_project_v03/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CocoRoF/modernbert_large_project_v03/resolve/main/last-checkpoint/optimizer.pt
2.38 GB
- Xet hash:
- 6e5dc9bb8bfb1b4ba21993608fd2fa206f2b2a8f0dcfaaef432ecd802d9a198f
- Size of remote file:
- 2.38 GB
- SHA256:
- c0fee8d6455fb6a5f9d99bc12331816a0cafc625fb9512068b5294e64c0d29ef
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