Instructions to use facebook/xmod-base-60-265k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xmod-base-60-265k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xmod-base-60-265k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xmod-base-60-265k") model = AutoModelForMaskedLM.from_pretrained("facebook/xmod-base-60-265k") - Notebooks
- Google Colab
- Kaggle
An X-MOD model of size base trained on 60 languages for 265k update steps.
See https://huggingface.co/jvamvas/xmod-base for details.
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