Instructions to use BasitAliii/bart_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BasitAliii/bart_finetuned_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="BasitAliii/bart_finetuned_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BasitAliii/bart_finetuned_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 848e05ec6014a58da80843b9b0c1d31a0d1405fb479301fcfc063618312b6ee5
- Size of remote file:
- 54.4 kB
- SHA256:
- 37a25b073b4c10bb792ab4c2ed71222adb5a2cb7b6cddce7aceb7e6805506a31
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