Instructions to use google/pegasus-cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pegasus-cnn_dailymail 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="google/pegasus-cnn_dailymail")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/pegasus-cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-cnn_dailymail", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from google/pegasus-cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 65 Bytes
-
https://huggingface.co/google/pegasus-cnn_dailymail/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://google/pegasus-cnn_dailymail/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/google/pegasus-cnn_dailymail/resolve/main/special_tokens_map.json
65 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"} |