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
- Xet hash:
- 0606a6a9b76337cb0d627cdbafb2b327367b046493519b147f056a9f51b4fc64
- Size of remote file:
- 5.24 kB
- SHA256:
- a7c4956272946be92d1e10a53b3d39e15690988f8815558bcf62186e248cccae
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