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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aff4955aa484f5d3d70b636f2b031d944094e876cafd061a8784928ebab642d4
- Size of remote file:
- 1.34 GB
- SHA256:
- b9f8ca8df45565d2375aadd1530ca3f077d9e1f11e5186d1a44d3315d2a1b2dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.