ModelListedExternal

Codegen 350M Nosql2doc LoRA

LoRA adapter for nosql2doc on Salesforce/codegen-350M-multi.

Sourcehuggingface.co/care2achieve/codegen-350M-nosql2doc-lora/tree/4181c35aad4e437a191115f5852b88213b6abdb4

KindOtherBase modelSalesforce/codegen-350M-multiVersionRevision 4181c35Cgrade

Model source

Kind: Other
File size: 40.0 MB
Base model: Salesforce/codegen-350M-multi
Version: vRevision 4181c35
Updated: Oct 27, 2026
Downloads: 7
Source: Hugging Face

Source description

care2achieve/codegen-350M-nosql2doc-lora

LoRA adapter for nosql2doc on Salesforce/codegen-350M-multi.

Checkpoint version: v4
Task: nosql2doc

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "Salesforce/codegen-350M-multi"
adapter = "care2achieve/codegen-350M-nosql2doc-lora"

tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base)
model = PeftModel.from_pretrained(model, adapter)

Or use the multi-adapter API in this project's hf-deploy/ package.

Sources

1 source

Hugging FacePrimaryVersion 4181c35aad4e437a191115f5852b88213b6abdb4

huggingface.co/care2achieve/codegen-350M-nosql2doc-lora/tree/4181c35aad4e437a191115f5852b88213b6abdb4

Verified Oct 27

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 40.0 MB · SHA-256 de4342dde619…e584 · Hugging Face

Download file

Source excerpts

3 excerpts

ReadmeAug 8huggingface.co/care2achieve/codegen-350M-nosql2doc-lora

--- library_name: peft base_model: Salesforce/codegen-350M-multi tags: - lora - peft - code - nosql2doc - codegen pipeline_tag: text-generation --- # care2achieve/codegen-350M-nosql2doc-lora LoRA adapter for **nosql2doc** on [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi). - Checkpoint version: `v4` - Task: `nosql2doc` ## Usage ```python from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer base = "Salesforce/codegen-350M-multi" adapter = "care2achieve/codegen-350M-nosql2doc-lora" tokenizer = AutoTokenizer.from_pretrained(base) model = AutoModelForCausalLM.from_pretrained(base) model = PeftModel.from_pretrained(model, adapter) ``` Or use the multi-adapter API in this project's `hf-deploy/` package.

NoteOct 27huggingface.co/care2achieve/codegen-350M-nosql2doc-lora

Source context: 7 downloads · 0 likes · Pipeline text-generation · Library peft · Repo care2achieve/codegen-350M-nosql2doc-lora

NoteAug 8huggingface.co/care2achieve/codegen-350M-nosql2doc-lora

Source context: 69 downloads · 0 likes · Pipeline text-generation · Library peft · Repo care2achieve/codegen-350M-nosql2doc-lora