Instructions to use Goader/liberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Goader/liberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Goader/liberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Goader/liberta-large") model = AutoModelForMaskedLM.from_pretrained("Goader/liberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44e8e27b04a1fbd7c2f87e06613dc8ea2db4bc27d786183fc0c92638a3332117
- Size of remote file:
- 1.35 GB
- SHA256:
- 011972aeb2b0ca17676237052bc6d590b265a4fca7ff63978d95b70e81a422ea
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