Fill-Mask
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Swedish
roberta
feature-extraction
swedish
Instructions to use flax-community/swe-roberta-wiki-oscar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/swe-roberta-wiki-oscar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/swe-roberta-wiki-oscar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("flax-community/swe-roberta-wiki-oscar") model = AutoModel.from_pretrained("flax-community/swe-roberta-wiki-oscar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flax-community/swe-roberta-wiki-oscar: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/flax-community/swe-roberta-wiki-oscar/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flax-community/swe-roberta-wiki-oscar/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flax-community/swe-roberta-wiki-oscar/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 2070e8753b40b906e8c353294da338334490c3ab9f98680abd7575f5dee68ee8
- Size of remote file:
- 499 MB
- SHA256:
- 01867046baf8725902c665b4fea78353add3a864f32192c2f1bbe15b8ae625ab
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