Instructions to use Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/added_tokens.json from Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91: direct link, hf CLI and curl.
- Browser
- Download file 53 Bytes
-
https://huggingface.co/Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91/resolve/main/last-checkpoint/added_tokens.json
- Command line
-
hf download hf://Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91/last-checkpoint/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91/resolve/main/last-checkpoint/added_tokens.json
53 Bytes
| { | |
| "<|im_end|>": 100279, | |
| "<|im_start|>": 100278 | |
| } | |