Zero-Shot Classification
Transformers
Safetensors
English
roberta
text-classification
ecommerce
classification
Instructions to use timofeyk/roberta-query-router-ecommerce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timofeyk/roberta-query-router-ecommerce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="timofeyk/roberta-query-router-ecommerce")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("timofeyk/roberta-query-router-ecommerce") model = AutoModelForSequenceClassification.from_pretrained("timofeyk/roberta-query-router-ecommerce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from timofeyk/roberta-query-router-ecommerce: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/timofeyk/roberta-query-router-ecommerce/resolve/main/tokenizer.json
- Command line
-
hf download hf://timofeyk/roberta-query-router-ecommerce/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/timofeyk/roberta-query-router-ecommerce/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.