Instructions to use IssamL/roberta_point_of_sales_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IssamL/roberta_point_of_sales_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IssamL/roberta_point_of_sales_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IssamL/roberta_point_of_sales_classification") model = AutoModelForSequenceClassification.from_pretrained("IssamL/roberta_point_of_sales_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25ce144088ece357ccd9d91629b75b600e34c73e1727f96aa3309a77f45d05d0
- Size of remote file:
- 4.03 kB
- SHA256:
- ded5b58c2c617dff8ca9e53feb0c9a1c2da95c4aca7fd5c11b9fd48163d29b28
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