Text Generation
PEFT
Safetensors
mistral
alignment-handbook
Generated from Trainer
trl
sft
conversational
Instructions to use edpowers/data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use edpowers/data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "edpowers/data") - Notebooks
- Google Colab
- Kaggle
File size: 557 Bytes
2d1b4f0 bdfb628 2d1b4f0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"additional_special_tokens": [
{
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
{
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
],
"bos_token": "<|im_start|>",
"eos_token": "<|im_end|>",
"pad_token": "<|im_end|>",
"unk_token": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|