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:
- 4f33dae2fae9d4106fa56107ec9f817bb51bdd91200fc9de12503b66ed8fec0d
- Size of remote file:
- 2.86 kB
- SHA256:
- a9866332a8c239e2ea4e41b248ff890b722d4cedc2447fc101eb0e968e01318c
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