Instructions to use FacebookAI/xlm-mlm-ende-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-mlm-ende-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-mlm-ende-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-mlm-ende-1024") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-mlm-ende-1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daa955e188b51e2be98eac67d792d478ebe1677b37ef1bb615d043fe9d8073da
- Size of remote file:
- 835 MB
- SHA256:
- 318cacdb9e9e50498b7c136eb6e66635f3c109ba108d2191911a8dbf1c626767
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