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 tokenizer.json from Andrija/SRoBERTa-F: direct link, hf CLI and curl.
- Browser
- Download file 1.81 MB
-
https://huggingface.co/Andrija/SRoBERTa-F/resolve/main/tokenizer.json
- Command line
-
hf download hf://Andrija/SRoBERTa-F/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Andrija/SRoBERTa-F/resolve/main/tokenizer.json
1.81 MB
File too large to display, you can check the raw version instead.