Instructions to use RobertoFont/lilt-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobertoFont/lilt-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RobertoFont/lilt-xlm-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RobertoFont/lilt-xlm-roberta-base") model = AutoModel.from_pretrained("RobertoFont/lilt-xlm-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RobertoFont/lilt-xlm-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 1.14 GB
-
https://huggingface.co/RobertoFont/lilt-xlm-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RobertoFont/lilt-xlm-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RobertoFont/lilt-xlm-roberta-base/resolve/main/pytorch_model.bin
1.14 GB
- Xet hash:
- b3310c945b2ad10123baf6e148fe66a90ae1a5190a7cb4520632fb9f410012cc
- Size of remote file:
- 1.14 GB
- SHA256:
- 94e3201c45bc8c5c5863da84b54309d07c0c8d18aa4e2e5acaa10c89dc525bf7
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