Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Leuserrrr/finetuning-sentiment-model-amazonbaby5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leuserrrr/finetuning-sentiment-model-amazonbaby5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leuserrrr/finetuning-sentiment-model-amazonbaby5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leuserrrr/finetuning-sentiment-model-amazonbaby5000") model = AutoModelForSequenceClassification.from_pretrained("Leuserrrr/finetuning-sentiment-model-amazonbaby5000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 426053e8beab0dade85ca8707890311007ba7c29df0a204eb31bbb7f7d0c50dc
- Size of remote file:
- 268 MB
- SHA256:
- 2533f2f5a04b70967247582637eb6543f7b02d4fe24512f0e0fb7749cc4b6556
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