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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02eaf24f7cf2ec2685c12b02af92345f14f26be15484b26e56de7a6c0b098c2b
- Size of remote file:
- 141 MB
- SHA256:
- 267d8c5f23e4c8f9b13b2aa5a8410347b077e464d872ea96946e38e4e2bfd19a
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