Instructions to use google/muril-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/muril-large-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/muril-large-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/muril-large-cased") model = AutoModel.from_pretrained("google/muril-large-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Update tokenizer_config.json
1
#1 opened almost 4 years ago
by
patrickvonplaten