Instructions to use GeneZC/bert-large-minimoe-4L-384H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-minimoe-4L-384H with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MoEBertMiniLM tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-minimoe-4L-384H") model = MoEBertMiniLM.from_pretrained("GeneZC/bert-large-minimoe-4L-384H", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from GeneZC/bert-large-minimoe-4L-384H: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/GeneZC/bert-large-minimoe-4L-384H/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://GeneZC/bert-large-minimoe-4L-384H/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GeneZC/bert-large-minimoe-4L-384H/resolve/main/pytorch_model.bin
135 MB
- Xet hash:
- 1c586fce566bd63b6bc87968fb03d7d4e8a147a4b9b9d865993f8fc7ae9cba02
- Size of remote file:
- 135 MB
- SHA256:
- c4773992f5b957e151d3f58030cc37d3564c0e6f79ae3665429d3dc93331fdb2
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