Instructions to use pankajrudra/MediBool-banglabert-Context_Aware with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pankajrudra/MediBool-banglabert-Context_Aware with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pankajrudra/MediBool-banglabert-Context_Aware")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pankajrudra/MediBool-banglabert-Context_Aware") model = AutoModelForSequenceClassification.from_pretrained("pankajrudra/MediBool-banglabert-Context_Aware", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Auto-upload after training: banglabert (Context_Aware)
Browse files- checkpoint-1750/config.json +34 -0
- checkpoint-1750/model.safetensors +3 -0
- checkpoint-1750/optimizer.pt +3 -0
- checkpoint-1750/rng_state.pth +3 -0
- checkpoint-1750/scheduler.pt +3 -0
- checkpoint-1750/trainer_state.json +232 -0
- checkpoint-1750/training_args.bin +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
checkpoint-1750/config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"ElectraForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"classifier_dropout": null,
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"dtype": "float32",
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"embedding_size": 768,
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"eos_token_id": 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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"is_decoder": false,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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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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"problem_type": "single_label_classification",
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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.1.0",
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"type_vocab_size": 2,
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"use_cache": false,
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"vocab_size": 32000
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}
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checkpoint-1750/model.safetensors
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checkpoint-1750/optimizer.pt
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checkpoint-1750/rng_state.pth
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checkpoint-1750/scheduler.pt
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checkpoint-1750/trainer_state.json
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