Instructions to use Geotrend/bert-base-sw-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-sw-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-sw-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-sw-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-sw-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-sw-cased: direct link, hf CLI and curl.
- Browser
- Download file 395 MB
-
https://huggingface.co/Geotrend/bert-base-sw-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-sw-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-sw-cased/resolve/main/flax_model.msgpack
395 MB
- Xet hash:
- 58bd3a7f390f29ff9d06c002a049c592abc9bc675bdf4f4c6028ef742e57deae
- Size of remote file:
- 395 MB
- SHA256:
- 66bc9e7de3e03f3bebf113e6dbe5668fe6a0c3a9f6d7ed821968d9452d80fca1
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