Instructions to use prakhar2112/sectionHeaderBest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakhar2112/sectionHeaderBest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prakhar2112/sectionHeaderBest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prakhar2112/sectionHeaderBest") model = AutoModelForSequenceClassification.from_pretrained("prakhar2112/sectionHeaderBest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from prakhar2112/sectionHeaderBest: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/prakhar2112/sectionHeaderBest/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://prakhar2112/sectionHeaderBest@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/prakhar2112/sectionHeaderBest/resolve/refs%2Fpr%2F1/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.