Instructions to use BryanSwk/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BryanSwk/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BryanSwk/finetuning-sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BryanSwk/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("BryanSwk/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd89dea5fcc29be6876f1b74d83263784ff82a088892cccf70264d1593cb84f2
- Size of remote file:
- 3.58 kB
- SHA256:
- 8bf83c289a14b3476aecd7da616852ef4ceae7e47b1d14274857727dfef31cd5
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