Instructions to use IlyaGusev/rubert_telegram_headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IlyaGusev/rubert_telegram_headlines with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="IlyaGusev/rubert_telegram_headlines")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/rubert_telegram_headlines") model = AutoModelForSeq2SeqLM.from_pretrained("IlyaGusev/rubert_telegram_headlines") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0ccb9526dffd94e6e19ae95a2f304c2154be811d7a4958844248407a7cf42b9
- Size of remote file:
- 1.54 GB
- SHA256:
- f23caf6a0b9fcdb0d9e87d22db0b153873996a46c98e8be1df9b622537639bab
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