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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fe7fdef4910dd88426b3e4ce2644cd98bd12f5c98ffe9ac5c14db0c7f486ffd
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size 46748096
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