Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Preet/kpi-priority-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Preet/kpi-priority-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Preet/kpi-priority-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Preet/kpi-priority-model") model = AutoModelForSequenceClassification.from_pretrained("Preet/kpi-priority-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Preet/kpi-priority-model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Preet/kpi-priority-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Preet/kpi-priority-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Preet/kpi-priority-model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 913155d1116221253c37b5ebf8101b22d09ebc3e655dad0592f2ffe2ea06ae70
- Size of remote file:
- 5.3 kB
- SHA256:
- 65135e2f0423a7a4df879bd1db92e7c81d8413039b3fabfc9da5553b95db1cf1
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