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:
- affd73ca0d63ab7e1bc29a018009485317e632d5ec3c53f17c345cc422c881a3
- Size of remote file:
- 3.89 kB
- SHA256:
- 287d7e5ec4f0595f5de4078908ef7a347f826e504b32db5ec63a196ec34cf02f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.