Instructions to use microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext") model = AutoModelForMaskedLM.from_pretrained("microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cda7e07593cb9e5917e8a95056f002c25a61779a20e1c9d8770bfc556acd297
- Size of remote file:
- 440 MB
- SHA256:
- ad7bbb66376cfd6b2db3447192b034efe016337cbef135c35c411fd61b13c193
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