Instructions to use igzi/lora-wmt14_enfr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-wmt14_enfr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-wmt14_enfr") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from igzi/lora-wmt14_enfr: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/igzi/lora-wmt14_enfr/resolve/main/tokenizer.json
- Command line
-
hf download hf://igzi/lora-wmt14_enfr/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/igzi/lora-wmt14_enfr/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- c4530699d0209a307783c8d39f35cd73dc23b5429abaaa6604036ce2b1b2ebf2
- Size of remote file:
- 17.2 MB
- SHA256:
- 9c85066e7642934ed09b44155e6566b0b5dab2637fb9433439ba5c9c7f8b50d3
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