Instructions to use ArchCoder/fine-tuned-bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArchCoder/fine-tuned-bart-large 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="ArchCoder/fine-tuned-bart-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArchCoder/fine-tuned-bart-large") model = AutoModelForSeq2SeqLM.from_pretrained("ArchCoder/fine-tuned-bart-large") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - en | |
| metrics: | |
| - rouge | |
| base_model: | |
| - facebook/bart-large | |
| library_name: transformers | |
| tags: | |
| - text2text-generation | |
| - summarization | |
| - fine-tuned | |