Instructions to use Andrija/SRoBERTa-F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-F with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-F")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-F") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-F", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Andrija/SRoBERTa-F: direct link, hf CLI and curl.
- Browser
- Download file 322 MB
-
https://huggingface.co/Andrija/SRoBERTa-F/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Andrija/SRoBERTa-F/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Andrija/SRoBERTa-F/resolve/main/pytorch_model.bin
322 MB
- Xet hash:
- f4baaedc5509cb53cf3e20416641315f9b2dddfd0af0bcbdd7dfb0026534d02b
- Size of remote file:
- 322 MB
- SHA256:
- c9689178a657d290147a0f4d259100e06ea7c41ab319b0e7fb5bedd143697360
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