Instructions to use kevinjesse/codebert-MT4TS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/codebert-MT4TS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/codebert-MT4TS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/codebert-MT4TS") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/codebert-MT4TS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8559de3772ca4fda63d02fc3f48265ab3e25048d634d84870390d9c101c6b46e
- Size of remote file:
- 650 MB
- SHA256:
- 87cf208e10bb929312fd282b2fae947e869e5665855e99b75b184784acaf80a4
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