Instructions to use Nubletz/Rep1-bert-simplification-69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nubletz/Rep1-bert-simplification-69 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nubletz/Rep1-bert-simplification-69")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Nubletz/Rep1-bert-simplification-69") model = AutoModel.from_pretrained("Nubletz/Rep1-bert-simplification-69") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "bert-
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"architectures": [
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"BertModel"
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"_name_or_path": "Nubletz/Rep1-bert-simplification-69",
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"architectures": [
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"BertModel"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 437951328
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fe77def33292c00e884fa6a8c9103b0f668668016f5966b63c0d8e09231e612
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size 437951328
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