Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use aephil/lab6-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aephil/lab6-trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aephil/lab6-trained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aephil/lab6-trained") model = AutoModelForSequenceClassification.from_pretrained("aephil/lab6-trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- config.json +12 -12
- model.safetensors +1 -1
- training_args.bin +1 -1
config.json
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"eos_token_id": null,
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"hidden_dim": 3072,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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"5": "
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"initializer_range": 0.02,
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"label2id": {
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"eos_token_id": null,
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"hidden_dim": 3072,
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"id2label": {
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"0": "arts_&_culture",
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"1": "business_&_entrepreneurs",
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"2": "pop_culture",
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"3": "daily_life",
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"4": "sports_&_gaming",
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"5": "science_&_technology"
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},
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"initializer_range": 0.02,
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"label2id": {
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"arts_&_culture": 0,
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"business_&_entrepreneurs": 1,
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"daily_life": 3,
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"pop_culture": 2,
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"science_&_technology": 5,
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"sports_&_gaming": 4
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 267844872
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version https://git-lfs.github.com/spec/v1
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size 267844872
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5137
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version https://git-lfs.github.com/spec/v1
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size 5137
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