Instructions to use LEIA/LEIA-LM-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LEIA/LEIA-LM-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LEIA/LEIA-LM-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LEIA/LEIA-LM-large") model = AutoModelForMaskedLM.from_pretrained("LEIA/LEIA-LM-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 407ba87d66868cffc14637d7210bf0bce87986466b04cc1478256e65a0bfe0fc
- Size of remote file:
- 1.42 GB
- SHA256:
- 036327c5ac282512afed34c750ff897c9dbe8ae18ea7a0f3fab7b3e1ea5e02fb
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