Instructions to use simonycl/best_model-sst-2-16-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/best_model-sst-2-16-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/best_model-sst-2-16-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/best_model-sst-2-16-21") model = AutoModelForSequenceClassification.from_pretrained("simonycl/best_model-sst-2-16-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f565a1e5adaaa6c6475a5fdd09205e5ec80e95936422f17ef1678497b03bcca
- Size of remote file:
- 3.96 kB
- SHA256:
- f2f068592bd609dab2c44190aed1ef6f3d81bb940e950f36b057c88c952a1a6c
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