Instructions to use Unbabel/xlm-roberta-comet-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/xlm-roberta-comet-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Unbabel/xlm-roberta-comet-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Unbabel/xlm-roberta-comet-small") model = AutoModel.from_pretrained("Unbabel/xlm-roberta-comet-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f8fbc4647b0835d5ab26d461b63230edb333a1a957cc6b9b8a024b5a40fc81f
- Size of remote file:
- 427 MB
- SHA256:
- 98251645df1f519a5ecbfc4a30113d8a2b70731f05445be5445ad90ac9e7c0ea
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