Instructions to use zpdeaccount/old-bart-finetuned-pressrelease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zpdeaccount/old-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/old-bart-finetuned-pressrelease")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zpdeaccount/old-bart-finetuned-pressrelease") model = AutoModelForSeq2SeqLM.from_pretrained("zpdeaccount/old-bart-finetuned-pressrelease", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1afe6a96d045e86ac0ff4c535bdfb7d443b347077f6faae15bb480e90f21f84b
- Size of remote file:
- 1.63 GB
- SHA256:
- 0afed85d4fba1d7df53f3cf424157c43b59bc8b425142615747f7d42ea689b7a
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