Instructions to use osunlp/PubMedBERT_Replica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osunlp/PubMedBERT_Replica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="osunlp/PubMedBERT_Replica")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("osunlp/PubMedBERT_Replica") model = AutoModelForMaskedLM.from_pretrained("osunlp/PubMedBERT_Replica", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7305ad0f353a7dc0a0d694ec57c30a1db5d804093a06c200db42565b8f99e837
- Size of remote file:
- 433 MB
- SHA256:
- 982897349d7bffef21adbf70114a8103e50a7a722391403087137e1f92c09d8a
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