Instructions to use edmundmills/dignity-classifier-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edmundmills/dignity-classifier-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edmundmills/dignity-classifier-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edmundmills/dignity-classifier-base") model = AutoModelForSequenceClassification.from_pretrained("edmundmills/dignity-classifier-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from edmundmills/dignity-classifier-base: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/edmundmills/dignity-classifier-base/resolve/main/optimizer.pt
- Command line
-
hf download hf://edmundmills/dignity-classifier-base/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/edmundmills/dignity-classifier-base/resolve/main/optimizer.pt
1.48 GB
- Xet hash:
- aab4b15d4efde535167750296db25f0d344d07eccb2716c3a347ee14b3c9859e
- Size of remote file:
- 1.48 GB
- SHA256:
- 23c32774f045051599e224ffdc1af9e9714d98a366bf5cd8e703d88663efa38a
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