Instructions to use FacebookAI/xlm-clm-ende-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-clm-ende-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-clm-ende-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-clm-ende-1024") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-clm-ende-1024") - Notebooks
- Google Colab
- Kaggle
Create tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lowercase_and_remove_accent": true, "id2lang": {"0": "de", "1": "en"}, "lang2id": {"de": 0, "en": 1}, "model_max_length": 512}
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