Instructions to use ar3xop/arcane-33b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ar3xop/arcane-33b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./vicuna-33B") model = PeftModel.from_pretrained(base_model, "ar3xop/arcane-33b-lora") - Notebooks
- Google Colab
- Kaggle
File size: 548 Bytes
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language:
- en
license: llama2
tags:
- arcane
- lora
- mental-health
- peft
pipeline_tag: text-generation
---
# Arcane-33B-LoRA
**Arcane-33B-LoRA** is a parameter-efficient fine-tuning (PEFT) adapter module providing high-precision mental health analysis and explanation generation.
## Usage
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model_id = "ar3xop/arcane-33b-lora"
peft_model = AutoPeftModelForCausalLM.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)
```
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