Instructions to use google/muril-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/muril-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/muril-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/muril-base-cased") model = AutoModelForMaskedLM.from_pretrained("google/muril-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7e72059 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e84d19fc67481a06fc4cfbe8293454d9afb3a353fe1f202b36218d0915977d20
size 951027451
|