Summarization
Transformers
PyTorch
JAX
Rust
Safetensors
English
bart
text2text-generation
news
transformer
distilbart
financial-news
encoder-decoder
Instructions to use Sachin21112004/distilbart-news-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sachin21112004/distilbart-news-summarizer 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="Sachin21112004/distilbart-news-summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sachin21112004/distilbart-news-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Sachin21112004/distilbart-news-summarizer") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (5510528d7253c02ac04beb048678bd8926733140)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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