Instructions to use mb7419/bert-base-uncased-amazon-ic-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mb7419/bert-base-uncased-amazon-ic-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mb7419/bert-base-uncased-amazon-ic-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mb7419/bert-base-uncased-amazon-ic-tuned") model = AutoModelForSequenceClassification.from_pretrained("mb7419/bert-base-uncased-amazon-ic-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "4": "Amazon 2-Day Shipping Delays", | |
| "5": "Issues with Amazon sellers", | |
| "16": "Book Purchase Challenges", | |
| "0": "Miscellaneous Amazon Topic", | |
| "13": "Amazon Echo user experience", | |
| "9": "Amazon Wish List Functionality", | |
| "10": "Video Game Pre-Order Delivery Disappointment", | |
| "6": "Unauthorized access to Amazon accounts", | |
| "1": "Amazon Prime Day Sales", | |
| "12": "Cross-border shopping on Amazon", | |
| "7": "Amazon Delivery Issues", | |
| "8": "Amazon Fire TV jailbreaking", | |
| "2": "Amazon vs Shopify ecommerce", | |
| "3": "Fake reviews on Amazon", | |
| "14": "Amazon Rewards Visa Card", | |
| "11": "Amazon refund and return process", | |
| "15": "Amazon shipping carrier selection" | |
| } |