Instructions to use kevinjesse/codeberta-MT4TS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/codeberta-MT4TS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/codeberta-MT4TS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/codeberta-MT4TS") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/codeberta-MT4TS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8531ffeee3162d875dbd0f0e7213eb02be261555d0ea502bc14fe3a82b347c88
- Size of remote file:
- 485 MB
- SHA256:
- 7de173483c3702fe76b47af8a48ffd13f91bbc66336cec501d5c296b05eb7fd5
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