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:
- 1488396bd504ab4d08783eb90fc676cabaebe3b5d1ba933a4d374bdd766e3e90
- Size of remote file:
- 447 MB
- SHA256:
- 6c6e11e79eff99b03608b36c2abb239e462c7c30812339209f8422eca51ab043
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