Instructions to use kbang2021/yelp_polarity_tuned_bert_base_100K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbang2021/yelp_polarity_tuned_bert_base_100K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kbang2021/yelp_polarity_tuned_bert_base_100K")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kbang2021/yelp_polarity_tuned_bert_base_100K") model = AutoModelForSequenceClassification.from_pretrained("kbang2021/yelp_polarity_tuned_bert_base_100K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d6439e003d0fbb4e61c4a15c2e6b31f0365f6c322103c8253fdb518360c6ec2
- Size of remote file:
- 433 MB
- SHA256:
- 312c46dc0d1aca54853ea339986da6c28a0260f88c159267828462f62fac3d3c
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