Instructions to use nuprl/code-scorer-difficulty-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuprl/code-scorer-difficulty-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nuprl/code-scorer-difficulty-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nuprl/code-scorer-difficulty-v1") model = AutoModelForSequenceClassification.from_pretrained("nuprl/code-scorer-difficulty-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ff8f23e8a3f79410c66385ab9e3767f52d6a79c83f0c3c2090118fd2fb88f43
- Size of remote file:
- 497 MB
- SHA256:
- 86aedaee88896d4b79700db5d8a997f1b1af0f756f7f0a5e5b245853a1aa8c9e
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