Instructions to use simonycl/best_model-sst-2-32-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/best_model-sst-2-32-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/best_model-sst-2-32-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/best_model-sst-2-32-21") model = AutoModelForSequenceClassification.from_pretrained("simonycl/best_model-sst-2-32-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90b2e60ef5fc5b856bafed0aac6053fa2e2096411d71dfafadbdafc791892542
- Size of remote file:
- 3.96 kB
- SHA256:
- 6405884515e037f77df31e574fc8a7f1c0e798fcf036e9dca81df28bff1b90b2
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