Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sumitbmdi/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumitbmdi/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sumitbmdi/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sumitbmdi/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("sumitbmdi/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- .gitignore +1 -0
- config.json +1 -1
- pytorch_model.bin +3 -0
- training_args.bin +2 -2
.gitignore
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checkpoint-*/
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config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 30522
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267854125
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training_args.bin
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size 3451
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