Instructions to use gabrielkytz/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielkytz/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gabrielkytz/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gabrielkytz/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("gabrielkytz/finetuning-sentiment-model-3000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ddd4ad2
End of training
Browse files- README.md +4 -0
- pytorch_model.bin +1 -1
README.md
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Framework versions
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- Transformers 4.33.1
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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### Framework versions
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- Transformers 4.33.1
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pytorch_model.bin
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