Instructions to use simonycl/roberta-large-sst-2-16-13-30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/roberta-large-sst-2-16-13-30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/roberta-large-sst-2-16-13-30")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/roberta-large-sst-2-16-13-30") model = AutoModelForSequenceClassification.from_pretrained("simonycl/roberta-large-sst-2-16-13-30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonycl/roberta-large-sst-2-16-13-30: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/simonycl/roberta-large-sst-2-16-13-30/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simonycl/roberta-large-sst-2-16-13-30/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/simonycl/roberta-large-sst-2-16-13-30/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- bcda740c287c17198a1c2e759973a3911e22b2efaa125dde4f144ae4b7f56c2c
- Size of remote file:
- 1.42 GB
- SHA256:
- aa3261a4e54dff334587eb491cffd2484516baf87aad8ca1333f0f30ecc5d6ef
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