Instructions to use Shaelois/MeetingScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaelois/MeetingScript 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="Shaelois/MeetingScript")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shaelois/MeetingScript") model = AutoModelForSeq2SeqLM.from_pretrained("Shaelois/MeetingScript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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early_stopping=True
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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print("📝 Summary:", summary)
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---
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## Training Data
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Dataset: MeetingBank
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Splits: Train (5000+), Validation (600+), Test (600+)
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early_stopping=True
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)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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print("📝 Summary:", summary)
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```
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---
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## Training Data
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Dataset: MeetingBank
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Splits: Train (5000+), Validation (600+), Test (600+)
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