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")# 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
- Xet hash:
- 256f15fa987e9365bb9cdfc35ae3e4787ec059fae87bd3d59af12613bfdb4c55
- Size of remote file:
- 5.37 kB
- SHA256:
- 2fd6a0a0f7a7bdedc2651048f8410c9ae8997c7e8241a73c805f9c74fd57165d
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