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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from FacebookAI/xlm-mlm-ende-1024: direct link, hf CLI and curl.
- Browser
- Download file 835 MB
-
https://huggingface.co/FacebookAI/xlm-mlm-ende-1024/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://FacebookAI/xlm-mlm-ende-1024/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/FacebookAI/xlm-mlm-ende-1024/resolve/main/pytorch_model.bin
835 MB
- Xet hash:
- daa955e188b51e2be98eac67d792d478ebe1677b37ef1bb615d043fe9d8073da
- Size of remote file:
- 835 MB
- SHA256:
- 318cacdb9e9e50498b7c136eb6e66635f3c109ba108d2191911a8dbf1c626767
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