Instructions to use abletobetable/text_feature_extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/text_feature_extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abletobetable/text_feature_extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abletobetable/text_feature_extractor") model = AutoModelForSequenceClassification.from_pretrained("abletobetable/text_feature_extractor") - Notebooks
- Google Colab
- Kaggle
Finetuned bert for classification product category by it's description
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