Instructions to use Unbabel/XLM-R_L19_H12_FF3072 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/XLM-R_L19_H12_FF3072 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Unbabel/XLM-R_L19_H12_FF3072")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Unbabel/XLM-R_L19_H12_FF3072") model = AutoModel.from_pretrained("Unbabel/XLM-R_L19_H12_FF3072", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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