Instructions to use jambo/microsoftBio-renet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jambo/microsoftBio-renet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jambo/microsoftBio-renet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jambo/microsoftBio-renet") model = AutoModelForSequenceClassification.from_pretrained("jambo/microsoftBio-renet") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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name: Accuracy
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type: accuracy
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value: 0.8640646029609691
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---
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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-renet
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name: Accuracy
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type: accuracy
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value: 0.8640646029609691
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base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
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---
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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-renet
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