Instructions to use Srjnnnn/distilbert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srjnnnn/distilbert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Srjnnnn/distilbert-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Srjnnnn/distilbert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Srjnnnn/distilbert-sentiment") - Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#1) fbd6f12 verified
Update README.md fa1ee94 verified
Eyüp Sercan UYGUR commited on
Add readme 4d86910
Update README.md a39bc63 verified
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Name the labels 44cd862
Finish train dd74fc5
initial commit 6998d87 verified
Eyüp Sercan UYGUR commited on