Instructions to use hf-tuner/custom-med-bert-pre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tuner/custom-med-bert-pre with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tuner/custom-med-bert-pre") model = AutoModelForPreTraining.from_pretrained("hf-tuner/custom-med-bert-pre", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hf-tuner/custom-med-bert-pre: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/hf-tuner/custom-med-bert-pre/resolve/main/training_args.bin
- Command line
-
hf download hf://hf-tuner/custom-med-bert-pre/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hf-tuner/custom-med-bert-pre/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 61c9f14cb229df0a438c8abb079b2de0b41524f45f0037e65a0830b417124f9b
- Size of remote file:
- 5.84 kB
- SHA256:
- 753aaa9f45158c7e647def87f053bb720afe99d9d0c98b3f4fbf68f1bd026e65
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