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:
- db41f4892ca6867ca23d3325b9c9c0502b398b9804501b1c475125a044ea196b
- Size of remote file:
- 4.98 GB
- SHA256:
- b5561c003a40185c3775f17f03371da8854f5a0ae8e610ea800825f69ef05377
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