Instructions to use napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI") model = AutoModelForMaskedLM.from_pretrained("napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
scibert_scivocab_uncased_ft_mlm MLM pretrained on SDU21 Task 1 + 2
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