Translation
Transformers
PyTorch
JAX
TensorBoard
Swedish
t5
feature-extraction
summarization
text-generation-inference
Instructions to use birgermoell/t5-base-swedish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use birgermoell/t5-base-swedish with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="birgermoell/t5-base-swedish")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("birgermoell/t5-base-swedish") model = AutoModel.from_pretrained("birgermoell/t5-base-swedish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daf7c699d6174ff90617cbd6950c19d721af8844ef31b549b0c4cc9e15e3987c
- Size of remote file:
- 990 MB
- SHA256:
- a7a75ee4eeb40da6fecbe414219e2d80311e9cfa856ce2442c55b36f8cd7d564
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