Instructions to use Aktsvigun/tmp_electra_large_aug_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/tmp_electra_large_aug_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aktsvigun/tmp_electra_large_aug_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/tmp_electra_large_aug_3") model = AutoModelForSequenceClassification.from_pretrained("Aktsvigun/tmp_electra_large_aug_3") - Notebooks
- Google Colab
- Kaggle
Upload ElectraForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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