Instructions to use Aktsvigun/tmp_electra_base_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/tmp_electra_base_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aktsvigun/tmp_electra_base_aug")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/tmp_electra_base_aug") model = AutoModelForSequenceClassification.from_pretrained("Aktsvigun/tmp_electra_base_aug") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
33ac7e3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ec8720831729698cd04f71b69ed5dd56727ccabc4cbde9be9499b87d4208edf1
size 438008501
|