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
File size: 134 Bytes
6d4b5d5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:16a88210e104ce9679e16a14cccb8e40f5d91f64c25690552976f27aa3b1bfb0
size 866772805
|