Instructions to use morenolq/flanec-large-cd-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use morenolq/flanec-large-cd-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "morenolq/flanec-large-cd-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from morenolq/flanec-large-cd-lora: direct link, hf CLI and curl.
- Browser
- Download file 73.3 MB
-
https://huggingface.co/morenolq/flanec-large-cd-lora/resolve/fdeedd35e58def87aae664d29adfccab6c3ae130/adapter_model.safetensors
- Command line
-
hf download hf://morenolq/flanec-large-cd-lora@fdeedd35e58def87aae664d29adfccab6c3ae130/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/morenolq/flanec-large-cd-lora/resolve/fdeedd35e58def87aae664d29adfccab6c3ae130/adapter_model.safetensors
73.3 MB
- Xet hash:
- 9900c7a1812ac56d0cbae6756a2324dbe1afae2b9c42ee3137ff5458c2b2297b
- Size of remote file:
- 73.3 MB
- SHA256:
- 95976d07f1bc244a52e6398153ffcc6512a2674fcdcbb96916fe0211336122c3
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