Instructions to use TehranNLP-org/electra-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-sst2") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f350746069612c86b215424f212f3611e13d7a76234a9f995e18d39fad68080
- Size of remote file:
- 438 MB
- SHA256:
- baa326d01a125be989710f053c0eac24e7f51fcd5a76b20f38a11b38a8a6f728
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