Instructions to use ufal/robeczech-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ufal/robeczech-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ufal/robeczech-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ufal/robeczech-base") model = AutoModelForMaskedLM.from_pretrained("ufal/robeczech-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd44f1b30cd4851653316ce27ca89800a8376da53225e176bd81bb92e009b027
- Size of remote file:
- 504 MB
- SHA256:
- d352e06e70edb7626a1dfd59ad2481f9c7d01996d6c8b137b1ad9c38ae6c5a37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.