Summarization
Transformers
TensorBoard
ONNX
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use JohnDoe70/t5-summarization-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnDoe70/t5-summarization-v2 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="JohnDoe70/t5-summarization-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JohnDoe70/t5-summarization-v2") model = AutoModelForSeq2SeqLM.from_pretrained("JohnDoe70/t5-summarization-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2239e6680300b06629a3c25e37533b42ab2dc2a54cc6e58a993b2c66900afa4
- Size of remote file:
- 5.18 kB
- SHA256:
- 5b79cca58bc8dbfb890bed4bbcb285af0d8272c8b760f43c20b6e36164095c88
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