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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thugCodeNinja/robertafinetune") model = AutoModelForSequenceClassification.from_pretrained("thugCodeNinja/robertafinetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (9f0725191df7c95ebce7db4b21c77ace6424a275) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ac69e1a