Instructions to use davanstrien/modernbert-output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/modernbert-output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/modernbert-output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/modernbert-output") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/modernbert-output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from davanstrien/modernbert-output: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/davanstrien/modernbert-output/resolve/main/training_args.bin
- Command line
-
hf download hf://davanstrien/modernbert-output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/davanstrien/modernbert-output/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- f1d929520961ee179403a4ac7eadf9f412195cb766a2e32eecdd1cd21861dbc4
- Size of remote file:
- 5.2 kB
- SHA256:
- b77be74738b5f414a0df4d278fc41accfcc7ab59c3a84940ca627f468bb33528
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