Instructions to use kevinjesse/graphcodebert-MT4TS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/graphcodebert-MT4TS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/graphcodebert-MT4TS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/graphcodebert-MT4TS") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/graphcodebert-MT4TS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79214239e494ad788498cf87c1346921fdecc01e71d9a22ed8f2cc84cb38bbeb
- Size of remote file:
- 650 MB
- SHA256:
- b08cfc653fb4014a9fe21a253ae15fe93017ec126b0d23355c15f4e78eb27068
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