Instructions to use dafqi/GPT2-Rating-Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/GPT2-Rating-Prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/GPT2-Rating-Prediction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/GPT2-Rating-Prediction") model = AutoModelForSequenceClassification.from_pretrained("dafqi/GPT2-Rating-Prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 279
Browse files
model.safetensors
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runs/Mar12_20-02-30_843c610b4f8b/events.out.tfevents.1710273757.843c610b4f8b.104.3
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