Instructions to use m8than/modernbert-large-docx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m8than/modernbert-large-docx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m8than/modernbert-large-docx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m8than/modernbert-large-docx") model = AutoModelForSequenceClassification.from_pretrained("m8than/modernbert-large-docx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc19f2b441a785e0293d542b214ad3a0528e77fcfb3f8786766294bf5ee892b7
- Size of remote file:
- 5.37 kB
- SHA256:
- d3f01074225a271877d8138820ed90152d26f1818b76ee61d1e1c5e39db50221
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