Instructions to use yuvraj/summarizer-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuvraj/summarizer-cnndm 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="yuvraj/summarizer-cnndm")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuvraj/summarizer-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("yuvraj/summarizer-cnndm") - Notebooks
- Google Colab
- Kaggle
β
Summarization
β
Model description
β BartForConditionalGeneration model fine tuned for summarization on 10000 samples from the cnn-dailymail dataset β
How to use
β PyTorch model available β
from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
β
tokenizer = AutoTokenizer.from_pretrained("yuvraj/summarizer-cnndm")
AutoModelWithLMHead.from_pretrained("yuvraj/summarizer-cnndm")
β
summarizer = pipeline('summarization', model=model, tokenizer=tokenizer)
summarizer("<Text to be summarized>")
β
## Limitations and bias
Trained on a small dataset
- Downloads last month
- 8