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:
- 61b8604cf2265586be7999d13b9c9fde3f9988fadd7dd04579a1f514b9e753f2
- Size of remote file:
- 3.58 kB
- SHA256:
- cdb717f3bd3996c2ac2ef11e575b526543decd3916bc26d895dd0eab8d578978
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