Instructions to use 1warden2/BARTCnn_AWSBlogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1warden2/BARTCnn_AWSBlogs 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="1warden2/BARTCnn_AWSBlogs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("1warden2/BARTCnn_AWSBlogs") model = AutoModelForSeq2SeqLM.from_pretrained("1warden2/BARTCnn_AWSBlogs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39fd33b19418a43d125ad88c1fea46752d580e94ddd6aabee98faeed1ee8cf2
- Size of remote file:
- 1.63 GB
- SHA256:
- 30097a576a93b869d93932bee6bd42a72f8ce4905a9398c89f86d29b0094fbdf
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