Instructions to use boleima/udpos-mbert-base-vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boleima/udpos-mbert-base-vanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boleima/udpos-mbert-base-vanilla")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boleima/udpos-mbert-base-vanilla") model = AutoModelForMaskedLM.from_pretrained("boleima/udpos-mbert-base-vanilla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:7b685a7bab8fbc331376906ea7cea4683bb128858d528400ede1267ec5b8d265
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size 711492680
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