Instructions to use howey/electra-large-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/electra-large-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/electra-large-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/electra-large-cola") model = AutoModelForSequenceClassification.from_pretrained("howey/electra-large-cola") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4843e1d2d84e94dc4b34c2e091dc4a2f5ec402942c69b012f30f7eb8221459ff
- Size of remote file:
- 1.34 GB
- SHA256:
- 275dd6430ff89deadc3469d928f1ebecbad6ea448ab7a71cd7e336f2f08055cc
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