Instructions to use Erni12322/prod_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erni12322/prod_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erni12322/prod_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erni12322/prod_classification") model = AutoModelForSequenceClassification.from_pretrained("Erni12322/prod_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4712ecd2858cf334d0a9f121b1b2b7c54e8d84788483c5443d082d585b8e5bbf
- Size of remote file:
- 5.11 kB
- SHA256:
- f59e0f8f9a98a2f98babe5f8f0e6498b2be1e5e19d16ceac00ed202fcd2625b8
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