Instructions to use JLake310/bert-p-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JLake310/bert-p-encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, HFBertEncoder tokenizer = AutoTokenizer.from_pretrained("JLake310/bert-p-encoder") model = HFBertEncoder.from_pretrained("JLake310/bert-p-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .DS_Store from JLake310/bert-p-encoder: direct link, hf CLI and curl.
- Browser
- Download file 6.15 kB
-
https://huggingface.co/JLake310/bert-p-encoder/resolve/main/.DS_Store
- Command line
-
hf download hf://JLake310/bert-p-encoder/.DS_Store
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curl -L -o .DS_Store https://huggingface.co/JLake310/bert-p-encoder/resolve/main/.DS_Store
6.15 kB
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