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:
- f9ac2e53f56be0a7acd3c893bdf2d5ba950f0651a14cc8210c6d81599dc17be5
- Size of remote file:
- 2.74 kB
- SHA256:
- a23e87f7b84c18f8e5a792e5488227a3e59192a2065bc8e7e1484dd6ea51d690
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