Text Classification
Transformers
PyTorch
English
promptforge_quality
promptforge
prompt-engineering
prompt-quality
modernbert
regression
llm
Instructions to use ArjunShukla/PromptForge-Quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjunShukla/PromptForge-Quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArjunShukla/PromptForge-Quality")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArjunShukla/PromptForge-Quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ArjunShukla/PromptForge-Quality: direct link, hf CLI and curl.
- Browser
- Download file 598 MB
-
https://huggingface.co/ArjunShukla/PromptForge-Quality/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ArjunShukla/PromptForge-Quality/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ArjunShukla/PromptForge-Quality/resolve/main/pytorch_model.bin
598 MB
- Xet hash:
- 442c87919536796e8a9455963177ca4a3bda862fd56efdd0c0d4808ccd62f2e1
- Size of remote file:
- 598 MB
- SHA256:
- ab3388a771b84cdf75cadd7a3c80a0dc9a679efc7c4cb88cce6f5832c145d816
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