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
| { | |
| "additional_special_tokens": [ | |
| "▁<PRE>", | |
| "▁<MID>", | |
| "▁<SUF>", | |
| "▁<EOT>" | |
| ], | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<unk>", | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |