Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use anhuu/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("anhuu/finetuning-sentiment-model-3000-samples") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ab079a2af6666107c53d70cb21f63d9439ec1bc4f4df92df2b3df1463d1546d
- Size of remote file:
- 268 MB
- SHA256:
- d2ff4960a16e02cf34285efef06ddc375fa6e2d7123119d1b305c674d8056d69
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