Instructions to use google/xtr-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/xtr-base-multilingual with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/xtr-base-multilingual") model = AutoModel.from_pretrained("google/xtr-base-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0f479ce2218263a74ad91611ab9495a9a4dbf042b5c1a0328b75252ff3b8377
- Size of remote file:
- 16.3 MB
- SHA256:
- cb7b3c0457b75198dbf15a7d82e3d17de41f0298d83257a7f5bec75dc7d0f8e2
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