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")# 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
- Xet hash:
- d14e8cc8d9952ba3526e7e8e94740574dac1c08920bde6c5f95612b4e4907cde
- Size of remote file:
- 268 MB
- SHA256:
- 263fd94d8684ff85220b8916579a927bb36af2875c2b8272eaf3c16d95ffd61d
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