Instructions to use biodatlab/MIReAD-Neuro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biodatlab/MIReAD-Neuro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="biodatlab/MIReAD-Neuro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("biodatlab/MIReAD-Neuro") model = AutoModelForSequenceClassification.from_pretrained("biodatlab/MIReAD-Neuro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e62c340f8e43e358b1ec76458a2883579991e9a894981bf3491932ecc3348890
- Size of remote file:
- 440 MB
- SHA256:
- 07e286b61bcd30b280eb4822cf522b69a51b29c671dd5ea6a9135fc85984ca24
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