Instructions to use CollectionStudio/ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CollectionStudio/ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CollectionStudio/ModernBERT-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CollectionStudio/ModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("CollectionStudio/ModernBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model_uint8.onnx from CollectionStudio/ModernBERT-base: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/CollectionStudio/ModernBERT-base/resolve/main/onnx/model_uint8.onnx
- Command line
-
hf download hf://CollectionStudio/ModernBERT-base/onnx/model_uint8.onnx
-
curl -L -o model_uint8.onnx https://huggingface.co/CollectionStudio/ModernBERT-base/resolve/main/onnx/model_uint8.onnx
151 MB
- Xet hash:
- 15d71f34521f8cec411838f63641a56e2e8b38ac7acbebf47da0aa22549f1fe0
- Size of remote file:
- 151 MB
- SHA256:
- 755b789bfd7bc10fef02e043dbdc7456c864d0468c9b48055a5ed6f642ec13d1
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