Instructions to use w11wo/lao-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/lao-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="w11wo/lao-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("w11wo/lao-roberta-base") model = AutoModelForMaskedLM.from_pretrained("w11wo/lao-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c943a3638beeaf621b6758447b15d29043a74c5a72aaa2b5d5638cc3b581d55
- Size of remote file:
- 499 MB
- SHA256:
- 388277022ddab4c9af11b37b0e03a9873d96d6aeec1c84207b175dfecc03db23
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