Instructions to use pi3ni0/pubmedqa-scibert-special with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pi3ni0/pubmedqa-scibert-special with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("pi3ni0/pubmedqa-scibert-special") model = AutoModelForPreTraining.from_pretrained("pi3ni0/pubmedqa-scibert-special") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9cbe6f70486a027892a13eeee47ac47674091a6238a8dfdb790d72875550b1f
- Size of remote file:
- 442 MB
- SHA256:
- 0b5491c2a6b5d7912a696cef49ce1a7c0e194ae7e72c45cc4bb656839bcc806a
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