Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use zboxi7/finetuning-sentiment-model-4000-samples_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zboxi7/finetuning-sentiment-model-4000-samples_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zboxi7/finetuning-sentiment-model-4000-samples_en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zboxi7/finetuning-sentiment-model-4000-samples_en") model = AutoModelForSequenceClassification.from_pretrained("zboxi7/finetuning-sentiment-model-4000-samples_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K