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:
- 8f3f9bb77e98f613029320483f2445c5d3bec8a65a4af09d03f3fa817cca91c1
- Size of remote file:
- 4.03 kB
- SHA256:
- 8dcec154e15350e4ec8dfa964b639de63528ff0051292dece140e6f1ad21384f
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