Create README.md

README.md

@@ -0,0 +1,55 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+datasets:
+- mwitiderrick/SwahiliAlpaca
+inference: true
+model_type: llama
+prompt_template: |
+  ### Instruction:\n
+  {prompt}
+  ### Response:
+created_by: mwitiderrick
+tags:
+- transformers
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+
+          
+---
+# Swahili Instruct
+
+This is a [Mistral Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) that has been fine-tuned on 1 epoch of the
+[SwahiliPlatypus](mwitiderrick/SwahiliAlpaca) dataset.
+
+## Prompt Template
+```
+### Maelekezo:
+
+{query}
+
+### Jibu:
+<Leave new line for model to respond> 
+```
+## Usage 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/SwahiliInstruct-v0.1")
+model = AutoModelForCausalLM.from_pretrained("mwitiderrick/SwahiliInstruct-v0.1", device_map="auto")
+query = "Nipe maagizo ya kutengeneza mkate wa mandizi"
+text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200, do_sample=True, repetition_penalty=1.1)
+output = text_gen(f"### Maelekezo:\n{query}\n### Jibu:\n")
+print(output[0]['generated_text'])
+"""
+Maagizo ya Kutengeneza Mkate wa Mandazi1.
+Washa tanuri kamili hadi 350 ° F (175°C) na uweka sufuria ya kuoka katikati.
+2. Katika bakuli, changanya mikasi yote pamoja na chumvi kitamu.
+3. Ongeza mayai, siagi na sukari, koroga hadi viwe sawasawa.
+4. Panda mchanganyiko kwenye pan katika mkusanyo unaotuleta tayari kwa mtiririko.
+5. Kata misingo kuburudisha kila mahali na uwatazama ikiwa yanapasuka y
+
+"""
+```