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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6331a62a90eab2fadaf9482139c34582e1f260c5f76032af28919c6d564b0ee
- Size of remote file:
- 5.43 kB
- SHA256:
- 358fd4a5ac2a959d81f91e781f4a6699fb17f7df6aff3cd7b17cf68827043b85
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