Instructions to use GeneZC/bert-large-minilm-4L-384H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-minilm-4L-384H with Transformers:
# Load model directly from transformers import AutoTokenizer, BertMiniLM tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-minilm-4L-384H") model = BertMiniLM.from_pretrained("GeneZC/bert-large-minilm-4L-384H") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a7933e4331279118fb9437adfb59f4d0e2ee19aea03479968820671942816c
- Size of remote file:
- 76.7 MB
- SHA256:
- 2d54abbd209ddf8a8733df4e8087e728a7359b94343c91b84e69a8d70b20a50f
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