Instructions to use textattack/distilbert-base-cased-CoLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/distilbert-base-cased-CoLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/distilbert-base-cased-CoLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-cased-CoLA") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-cased-CoLA") - Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#2
by LoPPiper - opened
- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:68d134f6b0c63e044d2a171e9e9ed9868432ec34fc9eb05e06c0facf185d0e9e
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size 263271566
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