Create README.md

README.md

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+---
+language: en
+license: mit
+library_name: transformers
+tags:
+- text-generation
+- gptj
+---
+
+# Model Card for Peaches-Pygmalion-6b
+
+This model is based on `Pygmalion-6b`, originally developed by the PygmalionAI team. It is designed for conversational AI and text-generation tasks, tailored to represent the persona of Peaches Sinclair, a charming and slightly clumsy Catgirl.
+
+## Model Details
+
+### Model Description
+
+The original `Pygmalion-6b` model was developed for high-quality conversational AI. This version incorporates a tailored persona for Peaches Sinclair, making it suitable for creative and engaging dialogues.
+
+- **Developed by:** PygmalionAI
+- **Fine-tuned for:** Peaches Sinclair
+- **Model type:** GPT-J
+- **Language(s):** English
+- **License:** MIT (inherited from Pygmalion-6b)
+- **Base model:** Pygmalion-6b
+
+## Uses
+
+### Direct Use
+
+This model is ideal for:
+- Conversational AI.
+- Text generation with creative and playful dialogues.
+
+### Out-of-Scope Use
+
+This model is not recommended for:
+- Tasks requiring factual accuracy.
+- Use cases involving harmful or explicit content.
+
+## Bias, Risks, and Limitations
+
+This model inherits biases from the base model (`Pygmalion-6b`) and its training data. Users should carefully monitor outputs, especially for sensitive topics.
+
+## How to Get Started with the Model
+
+You can use the model with the Transformers library:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "WackyArt/Peaches-Pygmalion-6b"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+inputs = tokenizer("Hello! How are you today?", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))