Instructions to use dejanseo/sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanseo/sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dejanseo/sentiment") model = AutoModelForSequenceClassification.from_pretrained("dejanseo/sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1284952b6875f7bbb0571d5a133ec9836996c4ba6292d27bcb76604d71e57b13
- Size of remote file:
- 1.06 kB
- SHA256:
- 5c203a76759ba1afd42aaa905214564ee6ba1e700114d1c8f8020faabdd31632
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