Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Zainab984/model_INT03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zainab984/model_INT03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zainab984/model_INT03")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zainab984/model_INT03") model = AutoModelForSequenceClassification.from_pretrained("Zainab984/model_INT03") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- config.json +8 -0
config.json
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 128,
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"id2label": {
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"0": "Taken",
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"1": "Not Taken"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"label2id": {
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"Not Taken": 1,
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"Taken": 0
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},
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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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