Instructions to use Nuvotex/support-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuvotex/support-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nuvotex/support-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nuvotex/support-classification") model = AutoModelForSequenceClassification.from_pretrained("Nuvotex/support-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nuvotex/support-classification: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/Nuvotex/support-classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nuvotex/support-classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nuvotex/support-classification/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 68da98afb99357f6627f30047e8c8a3faf426d1e16394d8bb6f00da93fbfa564
- Size of remote file:
- 440 MB
- SHA256:
- 8a00242f7e6ce66fd7b42154b9205674f52f5e6dbe821b8a09b5b0b4048dcdb8
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