Instructions to use gsar78/HellenicSentimentAI_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsar78/HellenicSentimentAI_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsar78/HellenicSentimentAI_v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gsar78/HellenicSentimentAI_v2") model = AutoModel.from_pretrained("gsar78/HellenicSentimentAI_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 293366e4c107281f824ddfa802c83165e7488fe2c87ec73c18b90dcb12a429d1
- Size of remote file:
- 17.1 MB
- SHA256:
- 6791997dc9fc3c5e51fd05c9674f72a1cc3d0619046ece2903ec52828013e0ed
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