Text Classification
Transformers
Safetensors
llama
trl
reward-trainer
reward-model
creative-writing
text-embeddings-inference
Instructions to use SAA-Lab/Llama8B-CreativeWritingVerifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAA-Lab/Llama8B-CreativeWritingVerifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SAA-Lab/Llama8B-CreativeWritingVerifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SAA-Lab/Llama8B-CreativeWritingVerifier") model = AutoModelForSequenceClassification.from_pretrained("SAA-Lab/Llama8B-CreativeWritingVerifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4499d58622adc6151e54b3fbca01ac96649b784e317659f0c86743023b923ad
- Size of remote file:
- 17.2 MB
- SHA256:
- 30992ead73e47f7c13b7f78241657e0306ee446ef8bb7150ecf6c551a090feb0
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