Instructions to use wwookk/graphcodebert_slice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wwookk/graphcodebert_slice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wwookk/graphcodebert_slice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wwookk/graphcodebert_slice") model = AutoModelForSequenceClassification.from_pretrained("wwookk/graphcodebert_slice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 231b643fae972bae1ffe7dd3f86649b345313882ca4c503f51d754e04f680995
- Size of remote file:
- 499 MB
- SHA256:
- 59fa61f195ae61ad1ba0f6e2b93d21c51582d9588ca8b91d6255022f3e553937
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