Instructions to use KamrusSamad/tiny_A-2_H-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KamrusSamad/tiny_A-2_H-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KamrusSamad/tiny_A-2_H-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KamrusSamad/tiny_A-2_H-2") model = AutoModelForMaskedLM.from_pretrained("KamrusSamad/tiny_A-2_H-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 7670b87
Delete config.json
Browse files- config.json +0 -24
config.json
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{
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"embedding_size": 128,
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"eos_token_id": 3,
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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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"inner_group_num": 1,
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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": "albert",
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"num_attention_heads": 2,
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"num_hidden_groups": 1,
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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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"transformers_version": "4.16.2",
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"type_vocab_size": 2,
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"vocab_size": 101980
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}
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