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:
- 8e8b2ab65e05469cfbac840cd62eab513a696bf26a67d3cc30d26c61ca78e94a
- Size of remote file:
- 3.12 kB
- SHA256:
- ff8adcde99b618c0e55f2ec26910886c1404cd7c1eb7a866a6078447d02c9881
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