Instructions to use suzuki-2001/BERT-K8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suzuki-2001/BERT-K8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="suzuki-2001/BERT-K8")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("suzuki-2001/BERT-K8") model = AutoModelForMaskedLM.from_pretrained("suzuki-2001/BERT-K8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Shosuke Suzuki commited on
Upload 7 files
Browse files- config.json +24 -0
- generation_config.json +5 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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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_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": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 65541
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}
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 545799348
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 1091720250
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:415c7641f46401c09574ee7cc8a13270501e2b870981f55e97a0410fd58ec44c
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size 1064
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d508bca6099540f2f318fa6ee0110c93e6175e02283d6a981568998303987d89
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size 4856
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