ModelAufgelistetExtern

Codegen 350M Sql2nosql LoRA

LoRA adapter for sql2nosql on Salesforce/codegen-350M-multi.

Quellehuggingface.co/care2achieve/codegen-350M-sql2nosql-lora/tree/ee80b35986d4283ac1cba8100d21057a50c62542

ArtOtherBasismodellSalesforce/codegen-350M-multiVersionRevision ee80b35CBewertung

Modellquelle

Art: Other
Dateigröße: 40,0 MB
Basismodell: Salesforce/codegen-350M-multi
Version: vRevision ee80b35
Aktualisiert: 27. Okt. 2026
Downloads: 9
Quelle: Hugging Face

Quellenbeschreibung

care2achieve/codegen-350M-sql2nosql-lora

LoRA adapter for sql2nosql on Salesforce/codegen-350M-multi.

Checkpoint version: v4
Task: sql2nosql

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "Salesforce/codegen-350M-multi"
adapter = "care2achieve/codegen-350M-sql2nosql-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.

Quellen

1 Quelle

Hugging FacePrimärVersion ee80b35986d4283ac1cba8100d21057a50c62542

huggingface.co/care2achieve/codegen-350M-sql2nosql-lora/tree/ee80b35986d4283ac1cba8100d21057a50c62542

Verifiziert 27. Okt.

Modellartefakte

1 Artefakt

adapter_model.safetensors

safetensors · 40,0 MB · SHA-256 d4ca2b30d851…17c7 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

Readme8. Aug.huggingface.co/care2achieve/codegen-350M-sql2nosql-lora

--- library_name: peft base_model: Salesforce/codegen-350M-multi tags: - lora - peft - code - sql2nosql - codegen pipeline_tag: text-generation --- # care2achieve/codegen-350M-sql2nosql-lora LoRA adapter for **sql2nosql** on [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi). - Checkpoint version: `v4` - Task: `sql2nosql` ## Usage ```python from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer base = "Salesforce/codegen-350M-multi" adapter = "care2achieve/codegen-350M-sql2nosql-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.

Note27. Okt.huggingface.co/care2achieve/codegen-350M-sql2nosql-lora

Source context: 9 downloads · 0 likes · Pipeline text-generation · Library peft · Repo care2achieve/codegen-350M-sql2nosql-lora

Note8. Aug.huggingface.co/care2achieve/codegen-350M-sql2nosql-lora

Source context: 70 downloads · 0 likes · Pipeline text-generation · Library peft · Repo care2achieve/codegen-350M-sql2nosql-lora