Instructions to use LEIA/LEIA-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LEIA/LEIA-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LEIA/LEIA-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LEIA/LEIA-large") model = AutoModelForSequenceClassification.from_pretrained("LEIA/LEIA-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d83315c9b10fa274701a456f36ca094789c32a6e28f5a7565886090c2c2298ef
- Size of remote file:
- 1.42 GB
- SHA256:
- 2034af976804d7e431608bd0fcd1f76cde6c46c73e367ae86d0c383b722acf53
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