Instructions to use Daewon0808/mmlu_augs_llama_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Daewon0808/mmlu_augs_llama_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Daewon0808/prm800k_llama_fulltune") model = PeftModel.from_pretrained(base_model, "Daewon0808/mmlu_augs_llama_lora") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/special_tokens_map.json from Daewon0808/mmlu_augs_llama_lora: direct link, hf CLI and curl.
- Browser
- Download file 325 Bytes
-
https://huggingface.co/Daewon0808/mmlu_augs_llama_lora/resolve/main/last-checkpoint/special_tokens_map.json
- Command line
-
hf download hf://Daewon0808/mmlu_augs_llama_lora/last-checkpoint/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Daewon0808/mmlu_augs_llama_lora/resolve/main/last-checkpoint/special_tokens_map.json
325 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|eot_id|>" | |
| } | |