Text Generation
PEFT
Safetensors
English
lora
apertus
optical-networks
intent-based-networking
hack-apertus
conversational
Instructions to use blackfish021/apertus-lightpath-lora-v2-e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use blackfish021/apertus-lightpath-lora-v2-e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("andreasmartin/apertus-v1.5-8b-text") model = PeftModel.from_pretrained(base_model, "blackfish021/apertus-lightpath-lora-v2-e2") - Notebooks
- Google Colab
- Kaggle
Download checkpoint/optimizer.pt from blackfish021/apertus-lightpath-lora-v2-e2: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/blackfish021/apertus-lightpath-lora-v2-e2/resolve/main/checkpoint/optimizer.pt
- Command line
-
hf download hf://blackfish021/apertus-lightpath-lora-v2-e2/checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/blackfish021/apertus-lightpath-lora-v2-e2/resolve/main/checkpoint/optimizer.pt
162 MB
- Xet hash:
- 87aabb00dfe19bf1fbef64655e82fcf7b59bec04748658ba873ce3f19ae2adfa
- Size of remote file:
- 162 MB
- SHA256:
- d2a7fa550475f8b21b0c3a45c40b48c7f023c762a97c2e5efe19273fe2acb039
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