Instructions to use lbogg/bert-tiny-finetuned-sst2-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbogg/bert-tiny-finetuned-sst2-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lbogg/bert-tiny-finetuned-sst2-demo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lbogg/bert-tiny-finetuned-sst2-demo") model = AutoModelForSequenceClassification.from_pretrained("lbogg/bert-tiny-finetuned-sst2-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 63
Browse files- config.json +25 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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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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"dtype": "float32",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 128,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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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": 2,
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"transformers_version": "4.57.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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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oid sha256:6c86e4815eea8194b10ba7e3c6a994a6ac343ad51db8f8e44a096bda32c56828
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size 17549312
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1784d0fffd82caeacd3d0d08a7f476f901dbe90d8ddf25f43a64fc457fde545f
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size 5777
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