Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use DayCardoso/modern-bert-seq-class-values-no-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/modern-bert-seq-class-values-no-context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/modern-bert-seq-class-values-no-context")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DayCardoso/modern-bert-seq-class-values-no-context: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/DayCardoso/modern-bert-seq-class-values-no-context/resolve/main/training_args.bin
- Command line
-
hf download hf://DayCardoso/modern-bert-seq-class-values-no-context/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DayCardoso/modern-bert-seq-class-values-no-context/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- a2e072883ac5ce1bb71c007ec93ef9c70b1eec26b23e614c4aa7051ee839e73f
- Size of remote file:
- 5.43 kB
- SHA256:
- f7f31b41ffe58ff86d6647dd2cf572d89055f23b5a0f1828e58532b24c064162
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