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
Upload folder using huggingface_hub
Browse files- onnx/decoder_model.onnx +3 -0
- onnx/encoder_model.onnx +3 -0
onnx/decoder_model.onnx
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onnx/encoder_model.onnx
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