Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sibozhu/cp_intent_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibozhu/cp_intent_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sibozhu/cp_intent_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sibozhu/cp_intent_model") model = AutoModelForSequenceClassification.from_pretrained("sibozhu/cp_intent_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"label2id": {
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"SELF_INTRO": 1,
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"SLEEP": 3,
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"STORY": 0
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"layer_norm_eps": 1e-12,
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"0": "STORY",
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"3": "LEAVE_GAME"
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"GAME": 2,
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"LEAVE_GAME": 3,
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"SELF_INTRO": 1,
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"STORY": 0
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"layer_norm_eps": 1e-12,
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model.safetensors
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runs/Dec08_04-33-01_394603e5d493/events.out.tfevents.1702009982.394603e5d493.364.0
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training_args.bin
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