Instructions to use WilliamWen/summarization_02_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WilliamWen/summarization_02_02 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="WilliamWen/summarization_02_02")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WilliamWen/summarization_02_02") model = AutoModelForSeq2SeqLM.from_pretrained("WilliamWen/summarization_02_02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c180997b492e9577cc4a7241e1f3720c0bf46b9d8fad462a5167de78543d6deb
- Size of remote file:
- 1.63 GB
- SHA256:
- efe4e1e564a5b8d6304345f79b49e41016ab9b977be0867b559ebc73fc65a7cb
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