Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AlexAnge/small-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexAnge/small-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexAnge/small-sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexAnge/small-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("AlexAnge/small-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f3860eb0d4413fe40197b7035eaedba1cb4693c49d52f044ceddc4f07918c08
- Size of remote file:
- 268 MB
- SHA256:
- be417ffbc02398e577310347f8f67050bbe04d55991c7818e6ec792887586187
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