Text Classification
Transformers
PyTorch
English
academic
reasoning
verification
weaver
cross-encoder
mmlu
Instructions to use hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro: direct link, hf CLI and curl.
- Browser
- Download file 793 MB
-
https://huggingface.co/hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro/resolve/main/pytorch_model.bin
793 MB
- Xet hash:
- c5dea1e8b6e12869d83e8f5b7e66d2f8207b9cdcb6e17d8744831c47f100fbfb
- Size of remote file:
- 793 MB
- SHA256:
- f7ebf00aee9f1758ef9152f2bb4a9df5b4fc04d0fb169df8a8dbe46f6cea1f86
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