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:
- 3f0da3f199d9ed5bd569386a691261d416839782ff522ff951a54147538b0ba4
- Size of remote file:
- 3.12 kB
- SHA256:
- c321af848efb69208d4f03867dc0b07d70d8baeaa05d0e9a6abace9a23516f8e
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