Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Swedish
bert
text-embeddings-inference
Instructions to use MCFred/bert-base-swedish-uncased-certainly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCFred/bert-base-swedish-uncased-certainly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MCFred/bert-base-swedish-uncased-certainly")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MCFred/bert-base-swedish-uncased-certainly") model = AutoModel.from_pretrained("MCFred/bert-base-swedish-uncased-certainly") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c4d1d90f4ca69e0402b6b8aed3c66e5c93d816f816f3f55d0bbfb5a13beb3b3
- Size of remote file:
- 442 MB
- SHA256:
- 12b7c20084a70ca4c91acbeb096c57748dc36d6ef47de3b6a42d2f63bd61d28d
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