Summarization
Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use anonymous813ker/summary-generator-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/summary-generator-128 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="anonymous813ker/summary-generator-128")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/summary-generator-128") model = AutoModelForSeq2SeqLM.from_pretrained("anonymous813ker/summary-generator-128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48c2c4efec6aa7b0b31a35056e4dad632c0518f9bc225188445e1c7265feadb9
- Size of remote file:
- 4.98 kB
- SHA256:
- 0425ee481d8e5e2a21fd5e153b35b54f8b9aa5d12efc361a8eb059e528126a8b
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