Text Classification
Transformers
Safetensors
English
distilbert
fashion
product-categorization
indian-ecommerce
text-embeddings-inference
Instructions to use roaringguts/DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roaringguts/DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roaringguts/DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roaringguts/DistilBERT") model = AutoModelForSequenceClassification.from_pretrained("roaringguts/DistilBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```python
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from transformers import pipeline
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clf = pipeline("text-classification", model="roaringguts/
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clf("Nike Dry Fit Running Tshirt")
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# [{'label': 'Activewear', 'score': 0.99}]
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```python
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from transformers import pipeline
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clf = pipeline("text-classification", model="roaringguts/DistilBERT")
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clf("Nike Dry Fit Running Tshirt")
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# [{'label': 'Activewear', 'score': 0.99}]
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