Update README.md

README.md

@@ -6,6 +6,38 @@ license: apache-2.0
 
 #### Notice: The input should contain 2 context examples and the cutoff length should be set to 2048 to ensure best performance.
 
-More usage will be released later
+A simple inference example:
+```
+from transformers import AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("phenixace/ICMA-Galactica-125M-M2C")
+
+from transformers import AutoTokenizer
+tk = AutoTokenizer.from_pretrained("phenixace/ICMA-Galactica-125M-M2C")
+
+from transformers import GenerationConfig
+text = """Generate a caption for the molecule: C[C@]12CCC(=O)C=C1CC[C@@H]3[C@@H]2C(=O)C[C@]4([C@H]3CCC4=O)C
+Caption: The molecule is a 3-oxo Delta(4)-steroid that is androst-4-ene carrying three oxo-substituents at positions 3, 11 and 17. It has a role as an androgen, a human urinary metabolite, a marine metabolite and an EC 1.1.1.146 (11beta-hydroxysteroid dehydrogenase) inhibitor. It is a 3-oxo-Delta(4) steroid, a 17-oxo steroid, an androstanoid and an 11-oxo steroid. It derives from a hydride of an androstane.
+
+Generate a caption for the molecule: C[C@]12CCC(=O)C=C1CC[C@@H]3[C@@H]2C(=O)C[C@]4([C@H]3CC[C@@H]4C(=O)CO)C
+Caption: The molecule is an 11-oxo steroid that is corticosterone in which the hydroxy substituent at the 11beta position has been oxidised to give the corresponding ketone. It has a role as a human metabolite and a mouse metabolite. It is a 21-hydroxy steroid, a 3-oxo-Delta(4) steroid, a 20-oxo steroid, an 11-oxo steroid, a corticosteroid and a primary alpha-hydroxy ketone. It derives from a corticosterone.
+
+Based on the above examples, analyse the similarities and differences between the examples and finally generate a caption for the molecule: C[C@]12CCC(=O)C=C1CC[C@@H]3[C@@H]2C(=O)C[C@]\\4([C@H]3CC/C4=C/C(=O)OC)C."""
+generation_config = GenerationConfig(
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.85,
+            top_k=40,
+            num_beams=1,
+            repetition_penalty=1.0,
+            pad_token_id=0,
+        )
+inputs = tk(text, return_tensors="pt", return_token_type_ids=False)
+outputs = model.generate(**inputs, return_dict_in_generate=True, output_scores=True, num_return_sequences=1, max_new_tokens=256, generation_config=generation_config)
+
+# decode
+decoded = tk.decode(outputs.sequences[0], skip_special_tokens=True)
+print(decoded)
+```
 
 Paper Link: https://arxiv.org/abs/2403.04197