Instructions to use mabrouk/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mabrouk/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mabrouk/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mabrouk/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("mabrouk/bert-base-uncased-issues-128") - 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:db97c0ee2fee6fea04515c43319ada6fa1f4e076d739e5752c966377448055e6
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size 438081024
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