Instructions to use amine/bert-base-5lang-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amine/bert-base-5lang-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amine/bert-base-5lang-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amine/bert-base-5lang-cased") model = AutoModelForMaskedLM.from_pretrained("amine/bert-base-5lang-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (86d1df249b1c672b2bedfe4c5e49638cd479a49a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f001dde
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (7f2d01a3b7127e323bb9c5e84685c3c8cf7a2c0a) - Update README.md (608ccf3340d771dd36b9aee2bfb44f32ff68147d) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>3e5790f
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/amine/bert-base-5lang-cased/README.md270e45a
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