Summarization
Transformers
Safetensors
English
pegasus
text2text-generation
meeting-summarization
text-generation-inference
Instructions to use CodeXRyu/meeting-summarizer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeXRyu/meeting-summarizer-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="CodeXRyu/meeting-summarizer-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeXRyu/meeting-summarizer-v2") model = AutoModelForSeq2SeqLM.from_pretrained("CodeXRyu/meeting-summarizer-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5d71423cc8c37b413e1b9b3fe4658c1263f52d4664dfd3a0fecb75731f23f5c
- Size of remote file:
- 2.28 GB
- SHA256:
- 9d2e06787c7dc0185a66165bdcdfd09fda27990483f7fefafb533c959c6584f4
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