Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use shirwu/debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/debug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/debug")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/debug") model = AutoModelForSequenceClassification.from_pretrained("shirwu/debug") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08b50025db109d0a519bd411fa56c39fe5a768b292f370206369a6e2323957db
- Size of remote file:
- 5.62 kB
- SHA256:
- 55409eafe00200d42dae99f9d04291ce5d0108776724f777d9d77d4097c4305f
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