Instructions to use facebook/xlm-v-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xlm-v-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xlm-v-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xlm-v-base") model = AutoModelForMaskedLM.from_pretrained("facebook/xlm-v-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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readme: mention XLM-V experiments repo
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readme: add initial version
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tokenizer: add fast variant
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tokenizer: add original spm model
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model: add converted PyTorch weights
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initial commit
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