Instructions to use DavidHawksMSBA/Mod4Team12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidHawksMSBA/Mod4Team12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DavidHawksMSBA/Mod4Team12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DavidHawksMSBA/Mod4Team12") model = AutoModelForSequenceClassification.from_pretrained("DavidHawksMSBA/Mod4Team12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5d5ae6c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2c3d87b81fa718e7dcf031ede4da44077e8c83b9d9ebc100377ae7d23eaa1b12
size 556844015
|