Text Classification
Transformers
Safetensors
llama
trl
reward-trainer
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use shirwu/preference_iterative_hard-answer_generator-iter0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/preference_iterative_hard-answer_generator-iter0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/preference_iterative_hard-answer_generator-iter0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/preference_iterative_hard-answer_generator-iter0") model = AutoModelForSequenceClassification.from_pretrained("shirwu/preference_iterative_hard-answer_generator-iter0") - Notebooks
- Google Colab
- Kaggle
Ctrl+K