Instructions to use howey/electra-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/electra-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/electra-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/electra-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("howey/electra-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48ddcb68a399f057a237c8e6f5b78aef85ed3b866c3adf3a9db74cd8002b7a2a
- Size of remote file:
- 2.48 kB
- SHA256:
- 8c5d1c4fa88b00fea08f1074d32ea0432ea2ffc01aa3e6e8654fb213f55f8e61
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