Instructions to use SADAF-IMAMU/train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SADAF-IMAMU/train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SADAF-IMAMU/train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SADAF-IMAMU/train") model = AutoModelForSequenceClassification.from_pretrained("SADAF-IMAMU/train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): cbfa1e3
Training in progress, epoch 0
Browse files
config.json
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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pytorch_model.bin
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runs/Jul13_11-42-06_6af243f75cea/events.out.tfevents.1689248654.6af243f75cea.9406.0
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training_args.bin
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