Instructions to use simonycl/best_model-sst-2-16-87 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/best_model-sst-2-16-87 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/best_model-sst-2-16-87")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/best_model-sst-2-16-87") model = AutoModelForSequenceClassification.from_pretrained("simonycl/best_model-sst-2-16-87", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonycl/best_model-sst-2-16-87: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/simonycl/best_model-sst-2-16-87/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simonycl/best_model-sst-2-16-87/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonycl/best_model-sst-2-16-87/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 7bb362bd23ba2c1fead6b2763adee25837d9d3d33f8f3b52a38b9576869c5f69
- Size of remote file:
- 438 MB
- SHA256:
- 45497df2e1812ef403a2e35c9fafa5085f7bf9a82be2fce0044837b868e6dd89
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