Translation:
example_title: Nature Calls
output:
text: "bathroom kaha hai?"
-
text: |
Translate from english to hinglish:
Can I pet your dog?
Translation:
example_title: Pet a Dog
output:
text: "kya mai apke dog ko pet kar sakta hoon?"
datasets:
- findnitai/english-to-hinglish
- nateraw/english-to-hinglish
language:
- en
- hi
pipeline_tag: text-generation
tags:
- hinglish
- en-to-hi
Model Card for Model ID
Lora fine-tune of Llama-2-7b for english to hinglish translation.
1import torch
2from transformers import AutoModelForCausalLM, pipeline
3
4
5PROMPT_TEMPLATE = (
6 f"Translate from english to hinglish:\n{{en}}\n---\nTranslation:\n"
7)
8model_id = "nousresearch/llama-2-7b-hf"
9peft_model_id = "nateraw/llama-2-7b-english-to-hinglish"
10model = AutoModelForCausalLM.from_pretrained(
11 model_id,
12 device_map="auto",
13 torch_dtype=torch.bfloat16
14)
15model.load_adapter(peft_model_id)
16
17pipe = pipeline(
18 "text-generation",
19 model=model,
20 tokenizer=model_id,
21)
22
23out = pipe(
24 PROMPT_TEMPLATE.format(en="Can I pet your dog?"),
25 return_full_text=False,
26 do_sample=False,
27 max_new_tokens=256
28)[0]['generated_text']
29print(out)
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