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
File size: 129 Bytes
39d0a70 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d2a863084cf576125be23fada61c382753ac10c7011c84281ef74fe4a0eb202
size 4155
|