Summarization
Transformers
ONNX
Safetensors
English
t5
text2text-generation
text-summarization
meeting-summarization
qmsum
text-generation-inference
Instructions to use CodeXRyu/meeting-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeXRyu/meeting-summarizer 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="CodeXRyu/meeting-summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeXRyu/meeting-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("CodeXRyu/meeting-summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c091125d94263cee95d80709e9681dcb90808b4ab97692dfa5863b06aeb21a
- Size of remote file:
- 5.91 kB
- SHA256:
- a8d2ff0b4552b3f5fe2fa68c6574a4535d4620fe5a9b086dedbf0ccefd6ed20d
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