Summarization
Transformers
PyTorch
English
t5
text2text-generation
aws
aws blogs
text-generation-inference
Instructions to use 1warden2/T5XSum_AWSBlogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1warden2/T5XSum_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/T5XSum_AWSBlogs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("1warden2/T5XSum_AWSBlogs") model = AutoModelForSeq2SeqLM.from_pretrained("1warden2/T5XSum_AWSBlogs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5873b3eb8868055f57b135d62f2e31144f0585119f14549f3be889fa74c842fb
- Size of remote file:
- 2.95 GB
- SHA256:
- 2d8d1e6d4b0d9d161e7c76eb47b3213b84423a9a6f42136b4d0307e80f1099b4
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