Instructions to use Nubletz/bert-simplestyle-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nubletz/bert-simplestyle-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nubletz/bert-simplestyle-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Nubletz/bert-simplestyle-encoder") model = AutoModel.from_pretrained("Nubletz/bert-simplestyle-encoder") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +0 -1
- model.safetensors +1 -1
config.json
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"return_dict": false,
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"type_vocab_size": 2,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"type_vocab_size": 2,
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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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