Instructions to use cjvt/sloberta-sleng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/sloberta-sleng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/sloberta-sleng")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/sloberta-sleng") model = AutoModelForMaskedLM.from_pretrained("cjvt/sloberta-sleng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35f930a1a8fdef5a24e9290caf92a49c18be0b5d29a3acd60ef5e8c6463ddda
- Size of remote file:
- 4.35 kB
- SHA256:
- 4c8f8e4af5ab3b5506b2586f94a4784233af0c0a55ccfb6fc4f881fc3920bc6d
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