Instructions to use ZennyKenny/zkhf-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZennyKenny/zkhf-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZennyKenny/zkhf-text-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZennyKenny/zkhf-text-classifier") model = AutoModelForSequenceClassification.from_pretrained("ZennyKenny/zkhf-text-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 616bbc0e4ee542e45fc8276365aea95029ad2c23dcabf740a2eadfbe07abc76f
- Size of remote file:
- 4.66 kB
- SHA256:
- 68586e2cae2cb9b367c0d141fdab3088dcfd1afccbe7ebd30583d519750cb43d
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