Instructions to use LEIA/LEIA-LM-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LEIA/LEIA-LM-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LEIA/LEIA-LM-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LEIA/LEIA-LM-base") model = AutoModelForMaskedLM.from_pretrained("LEIA/LEIA-LM-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83b2657a64295cb3842408a407aacab2949b18c1967d290cc1d91e1bd1016980
- Size of remote file:
- 2.74 kB
- SHA256:
- bb77d6ecad0926ea4500e216508be31ffde25fee04d867fd749c1358eb8edd81
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