Instructions to use Maxim01/intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxim01/intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maxim01/intent-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maxim01/intent-classification") model = AutoModelForSequenceClassification.from_pretrained("Maxim01/intent-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Maxim01/intent-classification: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Maxim01/intent-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://Maxim01/intent-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Maxim01/intent-classification/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 0aee925fe8418fa49e483fd0dca666a4e501bd1d5f54b587a308f64ba609494f
- Size of remote file:
- 4.6 kB
- SHA256:
- 720e4ae59d6c278965266bf8f8ba0744ee8c5193dee92b21d3818fbfb265a3c0
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