Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use travis-simon/ModernBERT-regulation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use travis-simon/ModernBERT-regulation-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="travis-simon/ModernBERT-regulation-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("travis-simon/ModernBERT-regulation-classifier") model = AutoModelForSequenceClassification.from_pretrained("travis-simon/ModernBERT-regulation-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from travis-simon/ModernBERT-regulation-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/travis-simon/ModernBERT-regulation-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://travis-simon/ModernBERT-regulation-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/travis-simon/ModernBERT-regulation-classifier/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- c82850e9c0468f5af93537c8e1afa6f8efe2844a3ba9f450f0a651b254c8b07c
- Size of remote file:
- 5.43 kB
- SHA256:
- cc8eead68c3a2092b62da56f6c48de35ace65a8f2c6694f348004d1d51d4b70e
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