Instructions to use Cournane/roberta-base-labels-Upper_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Upper_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Upper_pattern")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Upper_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Upper_pattern", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Cournane/roberta-base-labels-Upper_pattern: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/Cournane/roberta-base-labels-Upper_pattern/resolve/main/vocab.json
- Command line
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hf download hf://Cournane/roberta-base-labels-Upper_pattern/vocab.json
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curl -L -o vocab.json https://huggingface.co/Cournane/roberta-base-labels-Upper_pattern/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.