Instructions to use VinsmokeMir/SC_OurModel_E10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinsmokeMir/SC_OurModel_E10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinsmokeMir/SC_OurModel_E10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VinsmokeMir/SC_OurModel_E10") model = AutoModelForSequenceClassification.from_pretrained("VinsmokeMir/SC_OurModel_E10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
13ccbca
1
Parent(s): 250c1d6
Training in progress, step 27500
Browse files
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