Instructions to use grenlayk/electra-large-cola-extended-chatgpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grenlayk/electra-large-cola-extended-chatgpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grenlayk/electra-large-cola-extended-chatgpt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("grenlayk/electra-large-cola-extended-chatgpt") model = AutoModelForSequenceClassification.from_pretrained("grenlayk/electra-large-cola-extended-chatgpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
The ELECTRA-large model, fine-tuned on the extended version of CoLA subset with ChatGPT labels (class balanced CoLA-ECL) of the GLUE benchmark.
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