Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Kaspar/modification_best_model_modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaspar/modification_best_model_modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kaspar/modification_best_model_modernbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kaspar/modification_best_model_modernbert") model = AutoModelForSequenceClassification.from_pretrained("Kaspar/modification_best_model_modernbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kaspar/modification_best_model_modernbert: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/Kaspar/modification_best_model_modernbert/resolve/main/training_args.bin
- Command line
-
hf download hf://Kaspar/modification_best_model_modernbert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kaspar/modification_best_model_modernbert/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- b92f97084f0b0f2c779b2c2ee9fc14b5cc77c108a6d120574b2ea8f66584d6dc
- Size of remote file:
- 5.2 kB
- SHA256:
- 5b8badab351a0d8b5457e29c47600b669b83fe21ca1ae8296699e578d255d4bb
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