Instructions to use Zombely/RobertaForSequenceClassification-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zombely/RobertaForSequenceClassification-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zombely/RobertaForSequenceClassification-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zombely/RobertaForSequenceClassification-sst2") model = AutoModelForSequenceClassification.from_pretrained("Zombely/RobertaForSequenceClassification-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 606b510bb555be47033fe49d06567f13734d669649ce4d62ebbc99d20c699020
- Size of remote file:
- 499 MB
- SHA256:
- 549a630b0d3570bc69d30493d87fb938dc540775c2678ffe53f80beffecf2b9b
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