Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sreenington/BERT-Ecommerce-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sreenington/BERT-Ecommerce-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sreenington/BERT-Ecommerce-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sreenington/BERT-Ecommerce-Classification") model = AutoModelForSequenceClassification.from_pretrained("Sreenington/BERT-Ecommerce-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Sreenington/BERT-Ecommerce-Classification: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Sreenington/BERT-Ecommerce-Classification/resolve/main/tokenizer.json
- Command line
-
hf download hf://Sreenington/BERT-Ecommerce-Classification/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Sreenington/BERT-Ecommerce-Classification/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.