Instructions to use 123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("123abhiALFLKFO/roberta-base-yelp-polarity-finetuned-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97639decd0af2695bd4588d20be6b7184c308f7ae4bc40ec0746aea6df12b408
- Size of remote file:
- 46.7 MB
- SHA256:
- 4fe7fdef4910dd88426b3e4ce2644cd98bd12f5c98ffe9ac5c14db0c7f486ffd
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