Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use PracticalWork/ModernBERT-large-classifier-prompted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PracticalWork/ModernBERT-large-classifier-prompted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PracticalWork/ModernBERT-large-classifier-prompted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PracticalWork/ModernBERT-large-classifier-prompted") model = AutoModelForSequenceClassification.from_pretrained("PracticalWork/ModernBERT-large-classifier-prompted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PracticalWork/ModernBERT-large-classifier-prompted: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/PracticalWork/ModernBERT-large-classifier-prompted/resolve/main/training_args.bin
- Command line
-
hf download hf://PracticalWork/ModernBERT-large-classifier-prompted/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PracticalWork/ModernBERT-large-classifier-prompted/resolve/main/training_args.bin
5.91 kB
- Size of remote file:
- 5.91 kB
- SHA256:
- b80502e91a0a6996d7438a60547113c53a9ba69bb8f0220546511e3a015057a7
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