Update README.md

README.md

@@ -1,3 +1,35 @@
 ---
+inference: false
 license: openrail
+language:
+- it
+datasets:
+- teelinsan/camoscio
 ---
+
+# ExtremITA Camoscio 7 bilion parameters adapters: ExtremITLLaMA
+This is ExtremITLLaMA, the adapters for the instruction-tuned Italian LLaMA model that participated in all the tasks of [EVALITA 2023](https://www.evalita.it/campaigns/evalita-2023/) winning 41% of tasks and achieving 64% of top-three positions.
+It requires the base model from [sag-uniroma2/extremITA-Camoscio-7b](https://huggingface.co/sag-uniroma2/extremITA-Camoscio-7b).
+
+# Usage
+Checkout the github repository for more insights and codes: https://github.com/crux82/ExtremITA
+
+```python
+from peft import PeftModel
+from transformers import LLaMATokenizer, LLaMAForCausalLM
+import torch
+
+tokenizer = LLaMATokenizer.from_pretrained("yahma/llama-7b-hf")
+model = LlamaForCausalLM.from_pretrained(
+        "sag-uniroma2/extremITA-Camoscio-7b",
+        load_in_8bit=True,
+        torch_dtype=torch.float16,
+        device_map="auto",
+    )
+model = PeftModel.from_pretrained(
+    model,
+    "sag-uniroma2/extremITA-Camoscio-7b-adapters",
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+```