Instructions to use MaagDeveloper/rust_python_roberta_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaagDeveloper/rust_python_roberta_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaagDeveloper/rust_python_roberta_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaagDeveloper/rust_python_roberta_classifier") model = AutoModelForSequenceClassification.from_pretrained("MaagDeveloper/rust_python_roberta_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MaagDeveloper/rust_python_roberta_classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/MaagDeveloper/rust_python_roberta_classifier/resolve/2560c6271db98bde12b15c31ea467da4f47bfc14/tokenizer.json
- Command line
-
hf download hf://MaagDeveloper/rust_python_roberta_classifier@2560c6271db98bde12b15c31ea467da4f47bfc14/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MaagDeveloper/rust_python_roberta_classifier/resolve/2560c6271db98bde12b15c31ea467da4f47bfc14/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.