Text Generation
PEFT
Safetensors
lora
title-examination
oil-gas
texas
landman
legal
mineral-rights
conversational
Instructions to use Bmcbob76/echo-titlehound-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bmcbob76/echo-titlehound-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Bmcbob76/echo-titlehound-lora") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt with huggingface_hub
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:471e3890858af140b438674fc9af206296cb33e033edc0de6787a815cf3dbaf6
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size 1064
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