Instructions to use poipii/yelp_sentiment_distilbert-base-uncased_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poipii/yelp_sentiment_distilbert-base-uncased_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poipii/yelp_sentiment_distilbert-base-uncased_tuned")# Load model directly from transformers import AutoTokenizer, TF_AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poipii/yelp_sentiment_distilbert-base-uncased_tuned") model = TF_AutoModelForSequenceClassification.from_pretrained("poipii/yelp_sentiment_distilbert-base-uncased_tuned") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
language: en tags:
- sentiment
- distilbert- pipeline_tag: text-classification
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