Instructions to use Adilmar/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adilmar/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Adilmar/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Adilmar/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Adilmar/test_trainer") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: test_trainer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.30.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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model-index:
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- name: test_trainer
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results: []
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datasets:
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- yelp_review_full
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.30.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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