Instructions to use Priyanka-Balivada/electra-5-epoch-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanka-Balivada/electra-5-epoch-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Priyanka-Balivada/electra-5-epoch-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Priyanka-Balivada/electra-5-epoch-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Priyanka-Balivada/electra-5-epoch-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f56c35cfbec89dada92b07dda783303688285d9e2e10120a20983d1ce6c5b7dc
- Size of remote file:
- 54.3 MB
- SHA256:
- bdb3aa3745f82087dc0e1004a8d90376fb79e6db4f908f5a16aee1844010e401
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