--- library_name: transformers license: apache-2.0 datasets: - billingsmoore/tibetan-to-english-translation-dataset language: - bo - en metrics: - bleu base_model: - billingsmoore/tibetan-to-english-translation --- # Model Card for tibetan-to-english-translation-4bit ## Model Details This model is a quantized version of [**billingsmoore/tibetan-to-english-translation**](https://huggingface.co/billingsmoore/tibetan-to-english-translation). The model is double quanitized to 4bits. The process was performed (and can be replicated) with the following code: ```python from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, BitsAndBytesConfig import torch model_id = "billingsmoore/tibetan-to-english-translation" tokenizer = AutoTokenizer.from_pretrained(model_id) quantization_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16 ) model = AutoModelForSeq2SeqLM.from_pretrained(model_id, device_map="auto", quantization_config=quantization_config) ``` - **Developed by:** billingsmoore - **Model type:** Seq2Seq - **Language(s) (NLP):** Tibetan, English - **License:** Apache license 2.0 ### Model Sources - **Repository:** [GitHub](https://github.com/billingsmoore/MLotsawa) ## Uses The intended usage of this quantized model is for in-browser usage on edge devices. ### Direct Use This model can be used as part of a web app using Transformers.js as below. ```js import { pipeline } from '@huggingface/transformers'; // Allocate a pipeline for sentiment-analysis const pipe = await pipeline('translation', 'billingsmoore/tibetan-to-english-translation-4bit'); const out = await pipe('ན་མོ་མཉྫ་ཤཱི་ཡེ།'); ``` ### Out-of-Scope Use This model can also be used in the usual way using the Python transformers library as below. ```python from transformers import pipeline # Allocate a pipeline for sentiment-analysis pipe = pipeline('translation', 'billingsmoore/tibetan-to-english-translation-4bit') out = pipe('ན་མོ་མཉྫ་ཤཱི་ཡེ།') ``` ## More Information For additional information on training, data, etc. please see the model card for [**billingsmoore/tibetan-to-english-translation**](https://huggingface.co/billingsmoore/tibetan-to-english-translation). ## Model Card Author billingsmoore ## Model Card Contact billingsmoore [at] gmail [dot] com