Instructions to use simonycl/best_model-sst-2-64-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/best_model-sst-2-64-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/best_model-sst-2-64-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/best_model-sst-2-64-21") model = AutoModelForSequenceClassification.from_pretrained("simonycl/best_model-sst-2-64-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 996572faa9bb40dc330d9fb59aefdb67ad60faa1465c8d8128071f1f6b7b8959
- Size of remote file:
- 438 MB
- SHA256:
- 20028a0f11378e508f999bad1b9304861730e7575b454bb6f484cc2ab2d732d1
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