Text Classification
Transformers
Safetensors
bert
code
l3
repo-state-grounding
repositories
repository-library
repository_library_search_stack
research-library
text-embeddings-inference
Instructions to use PeytonT/repo-state-grounding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/repo-state-grounding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/repo-state-grounding")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/repo-state-grounding") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/repo-state-grounding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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