Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use philschmid/roberta-large-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/roberta-large-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/roberta-large-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/roberta-large-sst2") model = AutoModelForSequenceClassification.from_pretrained("philschmid/roberta-large-sst2") - Notebooks
- Google Colab
- Kaggle
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README.md
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type: glue
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args: sst2
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metrics:
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE SST2
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type: glue
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args: sst2
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metrics:
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