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")# 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:
- 9f79d5208f8ddd226f881b32c4da367c7e85a8d5726304dd0c33d6b8c1bcc276
- Size of remote file:
- 3.58 kB
- SHA256:
- fa2871be02451e15cd4c4d5bdc648d5a29df21bbc9b0bc18deb0b91f2b7c6c41
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