Instructions to use usakha/Bart_GovReport_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usakha/Bart_GovReport_model 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="usakha/Bart_GovReport_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("usakha/Bart_GovReport_model") model = AutoModelForSeq2SeqLM.from_pretrained("usakha/Bart_GovReport_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90b7f8f5d4434d0c7bd2a5cc1bd5c18eddb76b5df916895506cc20f1b3051b54
- Size of remote file:
- 1.63 GB
- SHA256:
- 570a1b162996db43e0c302ffe019f8e4ba2209ecc499f8bb8ad63bc8c2ca7d8a
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