Instructions to use thugCodeNinja/robertafinetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thugCodeNinja/robertafinetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="thugCodeNinja/robertafinetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thugCodeNinja/robertafinetune") model = AutoModelForSequenceClassification.from_pretrained("thugCodeNinja/robertafinetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26d6aa1ea01e3e15962acd76d3cfba3555ddcc47b661556bc5018f34d3fea632
- Size of remote file:
- 499 MB
- SHA256:
- fbf4aeed774f3183fdf9bc5521bfd4cbfcf915bbb228990e237cac1057c1007d
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