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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shaelois/MeetingScript") model = AutoModelForSeq2SeqLM.from_pretrained("Shaelois/MeetingScript") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse filesThis model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on the huuyeah/meetingbank dataset. It achieves the following results on the evaluation set:
| Metric | F1 Score |
|-----------|---------:|
| ROUGE‑1 | 51.5556 |
| ROUGE‑2 | 38.5378 |
| ROUGE‑L | 48.0786 |
| ROUGE‑Lsum| 48.0142 |
README.md
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---
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license: apache-2.0
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datasets:
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- huuuyeah/meetingbank
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language:
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- en
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metrics:
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- rouge
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base_model:
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- google/bigbird-pegasus-large-bigpatent
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pipeline_tag: summarization
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---
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