Instructions to use FacebookAI/xlm-mlm-en-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-mlm-en-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-mlm-en-2048")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-mlm-en-2048") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-mlm-en-2048") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 010f67737e5ee667b29fd2cd50007fc6e68759f08afdf9dd7b1dd782932c1659
- Size of remote file:
- 2.67 GB
- SHA256:
- c9b54df15f1a4311c29fdf6ac5bd7798ce2fd87810281d2c5e2a980e5ff56e63
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