Create README.md

README.md

@@ -0,0 +1,41 @@
+---
+language:
+- da
+pipeline_tag: text-generation
+widget:
+  - text: "### Bruger:\nAnders\n\n### Anmeldelse:\nUmuligt at komme igennem på telefonen.\n\n### Svar:\nKære Anders\n"
+---
+
+# What is this?
+
+A fine-tuned GPT-2 model (medium version, ~354.8 M parameters) for generating responses to customer reviews in Danish.
+
+# How to use
+
+The model is based on the [gpt2-medium-danish model](https://huggingface.co/KennethTM/gpt2-medium-danish). Supervised fine-tuning is applied to adapt the model to generate responses to customer reviews in Danish. A prompting template is applied to the examples used to train (see the example below).
+
+Test the model using the pipeline from the [🤗 Transformers](https://github.com/huggingface/transformers) library:
+
+```python
+from transformers import pipeline
+
+generator = pipeline("text-generation", model = "KennethTM/gpt2-medium-danish-review-response")
+
+def prompt_template(user, review):
+    return f"### Bruger:\n{user}\n\n### Anmeldelse:\n{review}\n\n### Svar:\nKære {user}\n"
+
+prompt = prompt_template(user = "Anders", review = "Umuligt at komme igennem på telefonen.")
+
+text = generator(prompt)
+
+print(text[0]["generated_text"])
+```
+
+Or load it using the Auto* classes:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("KennethTM/gpt2-medium-danish-review-response")
+model = AutoModelForCausalLM.from_pretrained("KennethTM/gpt2-medium-danish-review-response")
+```