Instructions to use zpdeaccount/bart-finetuned-pressrelease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zpdeaccount/bart-finetuned-pressrelease 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="zpdeaccount/bart-finetuned-pressrelease")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zpdeaccount/bart-finetuned-pressrelease") model = AutoModelForSeq2SeqLM.from_pretrained("zpdeaccount/bart-finetuned-pressrelease", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d2fef7293f5c17f9778a2ad647195dad39c58d957a5e234221ac059624d0612
- Size of remote file:
- 3.25 GB
- SHA256:
- 94e3750677140c4f3f559f956327969501d58096c84a7fb367a8b054d5f3e0b1
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