Summarization
Transformers
PyTorch
English
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use ishajo/meeting_summarization_usingT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishajo/meeting_summarization_usingT5 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="ishajo/meeting_summarization_usingT5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ishajo/meeting_summarization_usingT5") model = AutoModelForSeq2SeqLM.from_pretrained("ishajo/meeting_summarization_usingT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ishajo/meeting_summarization_usingT5: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/ishajo/meeting_summarization_usingT5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ishajo/meeting_summarization_usingT5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ishajo/meeting_summarization_usingT5/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 32fec900936d8c924d059e9cc062c4dc438a7ea6cfd8f9fa0b0f3f9d3118e3bc
- Size of remote file:
- 892 MB
- SHA256:
- bb2cc1ff879ecbfa93c819e51a53e9adb4d656e4b7d172ddf1a3824d38357872
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