Question Answering
Transformers
PyTorch
Safetensors
English
llama
text-generation
logical reasoning
reasoning
text-generation-inference
Instructions to use jzfeng/LoGiPT-CodeLlama-13b-Instruct-hf-proofwriter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzfeng/LoGiPT-CodeLlama-13b-Instruct-hf-proofwriter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="jzfeng/LoGiPT-CodeLlama-13b-Instruct-hf-proofwriter")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jzfeng/LoGiPT-CodeLlama-13b-Instruct-hf-proofwriter") model = AutoModelForCausalLM.from_pretrained("jzfeng/LoGiPT-CodeLlama-13b-Instruct-hf-proofwriter") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "transformers_version": "4.33.3" | |
| } | |