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", device_map="auto")# 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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:09133e7608c62f39d58823823ff17cb0f75bf55887516f6db288d6d547f18d88
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size 233643318
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