Instructions to use Samuael/amBART_261 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/amBART_261 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Samuael/amBART_261")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Samuael/amBART_261") model = AutoModel.from_pretrained("Samuael/amBART_261", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a20cd1a66750dbd82c4caf34e4d27c36f89a8dd338841aac167aa891f4307fba
- Size of remote file:
- 4.98 kB
- SHA256:
- a2445b6d5f5bc6057cc0c1ec874b25e6b98a995e1b89e258fddb4cab31087bb5
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