Instructions to use huawei-noah/EntityCS-39-PEP_MS_MLM-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huawei-noah/EntityCS-39-PEP_MS_MLM-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="huawei-noah/EntityCS-39-PEP_MS_MLM-xlmr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("huawei-noah/EntityCS-39-PEP_MS_MLM-xlmr-base") model = AutoModelForMaskedLM.from_pretrained("huawei-noah/EntityCS-39-PEP_MS_MLM-xlmr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:111acd92d91eab12647e488961b8755409a63765b5d1f7b1cd6b733e2d1ff92f
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size 1113449232
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