Instructions to use Tensorride/Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tensorride/Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tensorride/Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tensorride/Classifier") model = AutoModelForSequenceClassification.from_pretrained("Tensorride/Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Tensorride/Classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/Tensorride/Classifier/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Tensorride/Classifier@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tensorride/Classifier/resolve/refs%2Fpr%2F1/training_args.bin
3.9 kB
- Xet hash:
- 1d1eb0f95ec63a70de1cb3e331837142b729b9ae5e130a46d7ee9f1e8383eb4d
- Size of remote file:
- 3.9 kB
- SHA256:
- 3fdce84f727fc857a8a1986f132989425ac7060adc43a84de34e24940dd29666
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