Instructions to use steve1989/pretrainbert_exp_steve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steve1989/pretrainbert_exp_steve with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("steve1989/pretrainbert_exp_steve") model = AutoModelForPreTraining.from_pretrained("steve1989/pretrainbert_exp_steve", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from steve1989/pretrainbert_exp_steve: direct link, hf CLI and curl.
- Browser
- Download file 566 kB
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https://huggingface.co/steve1989/pretrainbert_exp_steve/resolve/main/tokenizer.json
- Command line
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hf download hf://steve1989/pretrainbert_exp_steve/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/steve1989/pretrainbert_exp_steve/resolve/main/tokenizer.json
566 kB
File too large to display, you can check the raw version instead.