Instructions to use AMindToThink/value_model_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMindToThink/value_model_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AMindToThink/value_model_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AMindToThink/value_model_0") model = AutoModelForSequenceClassification.from_pretrained("AMindToThink/value_model_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6673a16045758008a5548fefd399546c984d8d1fb80fdafd9513d0088790b84f
- Size of remote file:
- 495 MB
- SHA256:
- b01248bcbd1c77fe59f0e20f6e8cebaf2ba91f3a3d17c270b1e1cdd39629d37f
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