Instructions to use impresso-project/mmbert-multilingual-impresso-continued-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impresso-project/mmbert-multilingual-impresso-continued-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="impresso-project/mmbert-multilingual-impresso-continued-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("impresso-project/mmbert-multilingual-impresso-continued-mlm") model = AutoModelForMaskedLM.from_pretrained("impresso-project/mmbert-multilingual-impresso-continued-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 796de5f6e1da5e67b6fb389a13c227c69ea7d3026bb768deaa1b532d3b9ba5bd
- Size of remote file:
- 1.23 GB
- SHA256:
- 1edd72e430ece6e02d016da16e97e518e32e3e2a69b539bdb080f34ad10db153
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