Instructions to use Quangnguyen711/codebert-solidity-time-dep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quangnguyen711/codebert-solidity-time-dep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Quangnguyen711/codebert-solidity-time-dep")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Quangnguyen711/codebert-solidity-time-dep") model = AutoModel.from_pretrained("Quangnguyen711/codebert-solidity-time-dep") - Notebooks
- Google Colab
- Kaggle
Upload CodeBERT encoder model
Browse files- config.json +1 -2
- model.safetensors +2 -2
config.json
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{
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"_name_or_path": "microsoft/codebert-base",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.47.0",
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"type_vocab_size": 1,
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{
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"_name_or_path": "microsoft/codebert-base",
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"architectures": [
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"RobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.47.0",
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"type_vocab_size": 1,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c15e52d1cb32b6140b4f49ae174cd63c33bd788e7502c67ad6d26a2d76b5f82
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size 498604904
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