Instructions to use Aktsvigun/roberta_large_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/roberta_large_cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aktsvigun/roberta_large_cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/roberta_large_cola") model = AutoModelForSequenceClassification.from_pretrained("Aktsvigun/roberta_large_cola") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:32d49da0223fa2c9b2e15ba6c7148d73a4e4864e08e602dbc05b9ba2f3064fb2
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size 1421499616
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