Instructions to use saumyaaaaaaa/colab-1k-samples-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saumyaaaaaaa/colab-1k-samples-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saumyaaaaaaa/colab-1k-samples-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saumyaaaaaaa/colab-1k-samples-classifier") model = AutoModelForSequenceClassification.from_pretrained("saumyaaaaaaa/colab-1k-samples-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25f7b7da42624a6a6890274bb99ea7912db28cacd149ec580b67969c072e9e9e
- Size of remote file:
- 5.2 kB
- SHA256:
- 23749690bd40a618743b5f479f2daf55305259a0fc3d52df534f036da3b9ba3b
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