Instructions to use ncardus/TrainedMLMBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncardus/TrainedMLMBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ncardus/TrainedMLMBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ncardus/TrainedMLMBERT") model = AutoModel.from_pretrained("ncardus/TrainedMLMBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +4 -4
- pytorch_model.bin +3 -0
config.json
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_length": 130,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads":
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"num_hidden_layers":
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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.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 48
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_length": 130,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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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": "4.31.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 48
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:08bca871790e38607d36c78790656598210a0fd7dd21b928a319c8202cd20972
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size 342013537
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