Instructions to use usakha/Prophetnet_multiNews_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usakha/Prophetnet_multiNews_model 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="usakha/Prophetnet_multiNews_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("usakha/Prophetnet_multiNews_model") model = AutoModelForSeq2SeqLM.from_pretrained("usakha/Prophetnet_multiNews_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a600740851294f8276333a48a8afa0bd9b32acf9447ef222493d2b1b898d7a38
- Size of remote file:
- 1.57 GB
- SHA256:
- 4807cbbed4db2edc3dd74c35cdf8f44683fd433fb445c60529352e8fdc60656d
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