Instructions to use raynardj/pmc-med-bio-mlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raynardj/pmc-med-bio-mlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raynardj/pmc-med-bio-mlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raynardj/pmc-med-bio-mlm-roberta-large") model = AutoModelForMaskedLM.from_pretrained("raynardj/pmc-med-bio-mlm-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c7d2cdf06e5526d3986111b86044bfa0a8260ef506f871ba9ead0c87bb61235
- Size of remote file:
- 1.42 GB
- SHA256:
- 7a3cd5f1a03bb3844d92b6fe41e5da50bdc0e6105abb70b055a0f82833a8c1f0
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