Instructions to use LEIA/LEIA-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LEIA/LEIA-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LEIA/LEIA-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LEIA/LEIA-multilingual") model = AutoModelForSequenceClassification.from_pretrained("LEIA/LEIA-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 344b5cf1875c2adedb2d5c537090ca94cb42c8db2fec8e7d079fb07e8fabe007
- Size of remote file:
- 2.22 GB
- SHA256:
- 89fce08fd342d331815b912cbc3bc31558ee6f22d765ca4e002b4803ec13d886
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