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:
- 8e4601ebcd52ebe6345e5ea9686107eadff75240c9bd3db2d98d1de03add4967
- Size of remote file:
- 3.96 kB
- SHA256:
- 004cd9c7643fdb26b21aeb700c50160d05a6a326bbdb3f060883b920d129c1fd
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