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:
- e1f380ddd26d82d719207cbe165bcb277a8189ebc62e043271cabfb2f01cdd51
- Size of remote file:
- 5.27 kB
- SHA256:
- 078fd0af81dc073195349062b2b9c2417551d6d2001517362ce19bfb912d251e
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