Instructions to use biodatlab/MIReAD-Neuro-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biodatlab/MIReAD-Neuro-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="biodatlab/MIReAD-Neuro-Large", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("biodatlab/MIReAD-Neuro-Large") model = AutoModelForSequenceClassification.from_pretrained("biodatlab/MIReAD-Neuro-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a23eee4190a23cb8d5a68f888667e8a73f9f59a2ce9dc73d02d22b65d3cf696
- Size of remote file:
- 894 MB
- SHA256:
- ce02c2bc5bc042da2779d7e82acd6af77778c3ecda973417c174ebfafec85eed
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