Instructions to use orisuchy/Descriptive_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orisuchy/Descriptive_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orisuchy/Descriptive_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orisuchy/Descriptive_Classifier") model = AutoModelForSequenceClassification.from_pretrained("orisuchy/Descriptive_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from orisuchy/Descriptive_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/orisuchy/Descriptive_Classifier/resolve/8dfaf8a9f7e2fc66b99a1201e5d866e77857dda8/pytorch_model.bin
- Command line
-
hf download hf://orisuchy/Descriptive_Classifier@8dfaf8a9f7e2fc66b99a1201e5d866e77857dda8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/orisuchy/Descriptive_Classifier/resolve/8dfaf8a9f7e2fc66b99a1201e5d866e77857dda8/pytorch_model.bin
504 MB
- Xet hash:
- b2a5ddb9eb76a25e506c6bbab9196ea322b505d14a9c4ceed02e94aad270dddd
- Size of remote file:
- 504 MB
- SHA256:
- 038b8703a6b9314252970b2307bc8cf1079016e725680de5385492254e30d2b3
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