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
update model card README.md
Browse files
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased-distilled-squad
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tags:
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- generated_from_trainer
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model-index:
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1
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- Datasets 2.16.0
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- Tokenizers 0.
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 2.0.1
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- Datasets 2.16.0
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- Tokenizers 0.13.3
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