Instructions to use RinKana/deberta-v3-small-Spliced-In-Sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RinKana/deberta-v3-small-Spliced-In-Sentence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RinKana/deberta-v3-small-Spliced-In-Sentence")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RinKana/deberta-v3-small-Spliced-In-Sentence") model = AutoModelForSequenceClassification.from_pretrained("RinKana/deberta-v3-small-Spliced-In-Sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!