Instructions to use StevenLimcorn/bert-large-uncased-semeval2014 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StevenLimcorn/bert-large-uncased-semeval2014 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StevenLimcorn/bert-large-uncased-semeval2014")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StevenLimcorn/bert-large-uncased-semeval2014") model = AutoModelForMaskedLM.from_pretrained("StevenLimcorn/bert-large-uncased-semeval2014") - 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:fc46e8f1e79968769d80282e4de284f99bde5769fde8e55ab57256fe343105ac
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size 1340749336
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