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Model: manotham/Thai-dialogue-transalate_emotion
Source: Original Platform

README.md

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+---
+base_model: manotham/Thai-dialogue-transalate_sft_80K
+tags:
+- translation
+- emotion-conditional
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+language:
+- en
+- th
+---
+
+# Emotion-Conditioned English-to-Thai Translator (Warm-up SFT)
+
+- **Developed by:** manotham
+- **License:** apache-2.0
+- **Base Model:** `manotham/Thai-dialogue-transalate_sft_80K`
+- **Architecture:** Qwen3
+
+This model is an experimental fine-tune aimed at adding **Emotion-Conditioned Translation** capabilities to the base English-to-Thai translation model. By specifying an emotion tag in the prompt, the model adjusts its vocabulary, tone, and sentence structure to match the requested emotional context.
+
+This 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)
+
+## 🎯 Supported Emotion Labels
+The model has been explicitly trained to recognize and adapt to the following 11 emotion tags:
+`anger`, `contempt`, `disgust`, `fear`, `frustration`, `gratitude`, `joy`, `love`, `neutral`, `sadness`, `surprise`
+
+## 💻 Usage / Prompt Format
+
+This model uses the **ChatML** template. To trigger the emotion-conditional translation, include the `[Emotion: <label>]` tag in your instruction. We recommend using `apply_chat_template` from the `transformers` library for the best results.
+
+### Python Inference Example
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "manotham/Thai-dialogue-transalate_emotion"
+
+# 1. Load the model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
+
+# 2. Prepare the instruction with the desired emotion
+instruction = "Translate this English sentence into natural Thai. [Emotion: sadness]\nI worked so hard on preparing for that exam, but the score was far below what I expected."
+
+messages = [
+    {"role": "user", "content": instruction},
+]
+
+# 3. Apply chat template automatically
+inputs = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    tokenize=True,
+    return_dict=True,
+    return_tensors="pt",
+).to(model.device)
+
+# 4. Generate output
+outputs = model.generate(**inputs, max_new_tokens=128)
+
+# 5. Decode and print only the generated response
+response = tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True)
+print(response)
+# Expected Output: ฉันพยายามอย่างหนักเพื่อเตรียมตัวสอบแต่ผลลัพธ์กลับต่ำกว่าที่คาดไว้มาก