Feature Extraction
Transformers
PyTorch
JAX
TensorBoard
Swedish
roberta
translate
text-embeddings-inference
Instructions to use birgermoell/roberta-swedish-scandi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use birgermoell/roberta-swedish-scandi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="birgermoell/roberta-swedish-scandi")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("birgermoell/roberta-swedish-scandi") model = AutoModel.from_pretrained("birgermoell/roberta-swedish-scandi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32bad86b4415741867d38f258a5390c8a4c089e6e008db190cf8859b023b1c10
- Size of remote file:
- 499 MB
- SHA256:
- 05e2e7ca649d2ba32f9eaaf2a663e37e4bc89aeb2ec4fb2814eb3b80f7dab536
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