Instructions to use linhd-postdata/alberti-bert-base-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linhd-postdata/alberti-bert-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="linhd-postdata/alberti-bert-base-multilingual-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("linhd-postdata/alberti-bert-base-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("linhd-postdata/alberti-bert-base-multilingual-cased") - Notebooks
- Google Colab
- Kaggle
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- **Model type:** `bert`
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- **Language(s) (NLP):** Spanish, French, Italian, Czech, Portuguese, English, Arabic, Finnish, German, Russian, Hungarian, Chinese.
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- **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Finetuned from model:** [
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### Model Sources [optional]
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- **Model type:** `bert`
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- **Language(s) (NLP):** Spanish, French, Italian, Czech, Portuguese, English, Arabic, Finnish, German, Russian, Hungarian, Chinese.
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- **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Finetuned from model:** [`bert-base-multilingual-cased`](https://huggingface.co/bert-base-multilingual-cased)
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### Model Sources [optional]
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