Instructions to use nguyenthanhasia/XLM-Paralaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenthanhasia/XLM-Paralaw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nguyenthanhasia/XLM-Paralaw")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nguyenthanhasia/XLM-Paralaw") model = AutoModel.from_pretrained("nguyenthanhasia/XLM-Paralaw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is XLM-Paralaw Pretrained Model
Usage:
from transformers import AutoModel
from transformers import AutoTokenizer
model = AutoModel.from_pretrained("nguyenthanhasia/XLM-Paralaw")
tokenizer = AutoTokenizer.from_pretrained("nguyenthanhasia/XLM-Paralaw")
The paper about this model will be released soon.
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