Instructions to use pi3ni0/pubmedqa-scibert-classical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pi3ni0/pubmedqa-scibert-classical with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("pi3ni0/pubmedqa-scibert-classical") model = AutoModelForPreTraining.from_pretrained("pi3ni0/pubmedqa-scibert-classical") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1925653e0c87345b36e946d299d5a894976a90414a61e7b7feda80b99a1f6793
- Size of remote file:
- 442 MB
- SHA256:
- d02b5a1263bb070445875e495e9adfb41411fef6aa2ebbbba5761eecd0f58305
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