Instructions to use textattack/roberta-base-CoLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-CoLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-CoLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-CoLA") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-CoLA") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding ONNX file of this model
#2 opened about 3 years ago
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GeorgeSpark
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot