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:
- 3f2d12aa07e7a70ecf71620087e319a325061f45aa35e0f8fa8d44068e44a308
- Size of remote file:
- 4.16 kB
- SHA256:
- 7d2a863084cf576125be23fada61c382753ac10c7011c84281ef74fe4a0eb202
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