Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

DistilBERT Yelp Review Sentiment

This model is used for sentiment analysis on english yelp reviews.
It is a DistilBERT model trained on 1 million reviews from the yelp open dataset.
It is a regression model, with outputs in the range of ~-2 to ~2. With -2 being 1 star and 2 being 5 stars.
It was trained using the ktrain because of it's ease of use.

Example use:

tokenizer = AutoTokenizer.from_pretrained(
    'distilbert-base-uncased', use_fast=True)
model = TFAutoModelForSequenceClassification.from_pretrained(
review = "This place is great!"
input_ids = tokenizer.encode(review, return_tensors='tf')
pred = model(input_ids)[0][0][0].numpy()
# pred should === 1.9562385
Downloads last month
Hosted inference API
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.