Instructions to use joyebright/EAMT2023-Baseline-RU-EN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joyebright/EAMT2023-Baseline-RU-EN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joyebright/EAMT2023-Baseline-RU-EN")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joyebright/EAMT2023-Baseline-RU-EN") model = AutoModelForSequenceClassification.from_pretrained("joyebright/EAMT2023-Baseline-RU-EN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b704c9eaf7a78a70fc893030fae64ca78c8bfc42e018674501a837a16cc70f8
- Size of remote file:
- 4.35 MB
- SHA256:
- 53091f41fce233d25966d29369a0509d53808016e411f175a3eb8b9d6430d795
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