Instructions to use afaji/summerschool-2layer-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/summerschool-2layer-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afaji/summerschool-2layer-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afaji/summerschool-2layer-irony") model = AutoModelForSequenceClassification.from_pretrained("afaji/summerschool-2layer-irony", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dff60834e2e120e70012546a69d7fd4c752aa7115d2309131d264fa058e23864
- Size of remote file:
- 5.05 kB
- SHA256:
- 1f908cfdd006a3ebd5ea4d4896861d52852246628ad7ae0e0820e5dd8faca4d1
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