Instructions to use abdouaziiz/bert-base-wolof with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdouaziiz/bert-base-wolof with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abdouaziiz/bert-base-wolof")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abdouaziiz/bert-base-wolof") model = AutoModelForMaskedLM.from_pretrained("abdouaziiz/bert-base-wolof", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abdouaziiz/bert-base-wolof: direct link, hf CLI and curl.
- Browser
- Download file 1.03 kB
-
https://huggingface.co/abdouaziiz/bert-base-wolof/resolve/main/training_args.bin
- Command line
-
hf download hf://abdouaziiz/bert-base-wolof/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abdouaziiz/bert-base-wolof/resolve/main/training_args.bin
1.03 kB
- Xet hash:
- be3f09adfbb7249a66b6d81d7e093706a000e6211cef57de68432aeda7df7fbe
- Size of remote file:
- 1.03 kB
- SHA256:
- 021737a9fa5edb1dbe14cfe810b9b8df78a65dfda7b198bb4641a394d224afd5
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