Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use shirwu/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/output") model = AutoModelForSequenceClassification.from_pretrained("shirwu/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 656e80df3d531725ede4ff0fc50aa09b6d8a02da91ec415ea3191ba7691ff70f
- Size of remote file:
- 671 MB
- SHA256:
- 65ad99e785a38626cf73d25a081b04dd5f0508a722598c50b1f3c974a738af70
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