Instructions to use Nehc/FakeMobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nehc/FakeMobile with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nehc/FakeMobile")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nehc/FakeMobile") model = AutoModelForSequenceClassification.from_pretrained("Nehc/FakeMobile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- ru
widget:
- text: '[CLS] Какая абонентская плата на тарифе Позвони маме? [SEP]'
metrics:
- loss: 0.704381
- accuracy: 1
Start from 'DeepPavlov/rubert-base-cased' and finetuning on DUMBOT fake data (http://dumbot.ru/Home/MobileOperatorRate).
100 epoch
on progress...