初始化项目，由ModelHub XC社区提供模型

Model: KNipun/whisper-psychology-gemma-3-1b
Source: Original Platform

README.md

@@ -0,0 +1,108 @@
+---
+license: apache-2.0
+datasets:
+- jkhedri/psychology-dataset
+language:
+- en
+base_model:
+- google/gemma-3-1b-it
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- psychology,
+- mental-health,
+- chatbot,
+- fine-tuned,
+- gemma,
+- lora,
+---
+
+# Whisper Psychology Chatbot
+
+## Model Description
+
+Whisper is a mental health chatbot fine-tuned on the Gemma-3-1B-IT model using psychology-focused conversational data. The model is designed to provide supportive and empathetic responses for mental health conversations.
+
+**Developed by:** DeepFinders - SLTC Research University
+
+## Training Details
+
+- **Base Model:** google/gemma-3-1b-it
+- **Fine-tuning Method:** LoRA (Low-Rank Adaptation)
+- **Dataset:** jkhedri/psychology-dataset
+- **Training Samples:** ~2000 psychology conversations
+- **LoRA Configuration:**
+  - r=8, lora_alpha=16
+  - Target modules: q_proj, k_proj, v_proj, o_proj
+  - Dropout: 0.1
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load model and tokenizer
+model_name = "KNipun/whisper-psychology-gemma-3-1b"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    device_map="auto",
+    torch_dtype=torch.float16
+)
+
+# Format conversation
+def chat_with_whisper(user_message):
+    prompt = f"<start_of_turn>user\\n{user_message}<end_of_turn>\\n<start_of_turn>model\\n"
+    
+    inputs = tokenizer(prompt, return_tensors="pt")
+    
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs,
+            max_new_tokens=150,
+            temperature=0.7,
+            do_sample=True,
+            pad_token_id=tokenizer.eos_token_id
+        )
+    
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response[len(prompt):]
+
+# Example usage
+response = chat_with_whisper("I'm feeling anxious about my upcoming exam. Can you help me?")
+print(response)
+```
+
+## Model Identity
+
+The model introduces itself as: "I'm Whisper, your mental health chatbot, developed by DeepFinders — an innovative student team at SLTC Research University."
+
+## Limitations
+
+- This model is for educational and research purposes
+- Not a replacement for professional mental health care
+- May generate incorrect or inappropriate responses
+- Should be used with appropriate safeguards and human oversight
+
+## Training Infrastructure
+
+- **Hardware:** Google Colab (GPU)
+- **Quantization:** 4-bit quantization during training
+- **Memory Optimization:** Gradient checkpointing, mixed precision (FP16)
+
+## Citation
+
+```bibtex
+@misc{whisper-psychology-2024,
+  title={Whisper Psychology Chatbot},
+  author={DeepFinders Team, SLTC Research University},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/your-username/whisper-psychology-gemma-3-1b}
+}
+```
+
+## Ethical Considerations
+
+This model should be used responsibly with appropriate disclaimers about its limitations in providing mental health support.