Summarization
Transformers
Safetensors
English
longt5
text2text-generation
dialogue-summarization
Eval Results (legacy)
Instructions to use tuanhqv123/longt5-meeting-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuanhqv123/longt5-meeting-summarization 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="tuanhqv123/longt5-meeting-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tuanhqv123/longt5-meeting-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("tuanhqv123/longt5-meeting-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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#1 opened 3 months ago
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jamus0702