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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39e2bd39834562ae1f178b80006003e3c1ecd55efba313774d99ecf6e2302305
- Size of remote file:
- 16.7 MB
- SHA256:
- 838597c738f7dd6767578e949c23be652f93f41a8f46a8b0269afa7505abea9c
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