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