初始化项目，由ModelHub XC社区提供模型

Model: Hinglish-Project/llama-3-8b-English-to-Hinglish
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama3
+- trl
+- hinglish
+base_model: unsloth/llama-3-8b
+datasets:
+- cmu_hinglish_dog
+---
+
+# Inference:
+
+```
+!pip install -q "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+!pip install -q --no-deps "xformers<0.0.26" trl peft accelerate bitsandbytes
+```
+
+```python
+from unsloth import FastLanguageModel
+import torch
+max_seq_length = 512
+dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
+load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "Hinglish-Project/llama-3-8b-English-to-Hinglish",
+    max_seq_length = max_seq_length,
+    dtype = dtype,
+    load_in_4bit = load_in_4bit,
+)
+```
+
+```python
+def pipe(prompt):
+  alpaca_prompt = """### Instrucion: Translate given text to Hinglish Text:
+
+### Input:
+{}
+
+### Response:
+"""
+
+  inputs = tokenizer(
+      [
+          alpaca_prompt.format(prompt),
+      ], return_tensors = "pt").to("cuda")
+
+  outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True)
+  raw_text = tokenizer.batch_decode(outputs)[0]
+  return raw_text.split("### Response:\n")[1].split("<|end_of_text|>")[0]
+```
+
+```python
+text = "This is a fine-tuned Hinglish translation model using Llama 3."
+pipe(text)
+## yeh ek fine-tuned Hinglish translation model hai jisme Llama 3 ka use kiya gaya hai.
+
+```
+# Uploaded  model
+
+- **Developed by:** Hinglish-Project
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/llama-8b-bnb-4bit
+
+This Llama3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)