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:
- 58dca1dc77b03d92d606bd242dd2d78c8211a8db7673363069897beac6f0b314
- Size of remote file:
- 1.11 GB
- SHA256:
- 300d9616bf0ba9e127ca90fdf02538d25610036df25d8ffe8e83a1a163236c51
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