Instructions to use TehranNLP-org/electra-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3553dfd3979fb0dcb5f31b0fbd85a08125b213184c51af174bf3b937bf56d054
- Size of remote file:
- 438 MB
- SHA256:
- d364f7a223d8531b6dc4290ff32d0bec39122ce22b8487bd5dd375e01fe3d48c
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