Update README.md

README.md

@@ -44,6 +44,7 @@ model = tp.tensor_parallel(model, sharded=True)
 
 
 prompt_str = "YOUR-PROMPT"
+# fillin_missing_val_prompt_str = "### Instruction: Please fill in the missing value(s) in the table in Markdown format. The missing values are marked with placeholders: <missing_value_0>, <missing_value_1>, <missing_value_2>, ... The description of this table is: Historical cryptocurrency prices for the top 50 coins, including Open, High, Low, Volume, and Change % for each date.\n\n### Input:\n| low | high | sno | open | vol. | change % | date | price |\n| -------- | -------- | -------- | -------- | -------- | -------- | -------- | -------- |\n| 59.81 | 63.035 | 768.0 | 61.703 | 4320000.0 | -0.78 | 2018-09-30 | 61.224 |\n| 59.472 | 62.137 | 769.0 | 61.225 | 4480000.0 | -1.34 | 2018-10-01 | 60.401 |\n| 59.231 | 61.835 | 770.0 | 60.392 | 4430000.0 | -1.32 | 2018-10-02 | 59.606 |\n| 56.745 | 59.704 | 771.0 | 59.606 | 4780000.0 | -3.46 | 2018-10-03 | 57.541 |\n| 57.457 | 60.079 | 772.0 | 57.562 | 3260000.0 | 1.51 | 2018-10-04 | 58.411 |\n| 57.672 | 59.82 | 773.0 | 58.41 | 4630000.0 | 1.01 | 2018-10-05 | 59.001 |\n| 56.692 | 59.169 | 774.0 | 59.065 | 4730000.0 | -1.78 | 2018-10-06 | 57.951 |\n| 56.986 | 58.533 | 775.0 | 57.951 | 1500000.0 | 0.56 | 2018-10-07 | 58.273 |\n| 57.693 | 60.163 | 776.0 | 58.274 | 2260000.0 | 2.37 | 2018-10-08 | 59.655 |\n| 58.523 | 59.887 | 777.0 | 59.655 | 2230000.0 | -1.15 | 2018-10-09 | 58.968 |\n| 50.968 | 54.149 | 780.0 | 51.263 | 2170000.0 | 4.99 | 2018-10-12 | 53.806 |\n| 52.233 | 61.175 | 783.0 | 52.545 | 3210000.0 | 6.48 | 2018-10-15 | 55.951 |\n| 54.619 | 56.809 | 784.0 | 55.95 | 1860000.0 | -0.97 | 2018-10-16 | 55.408 |\n| 54.339 | 55.571 | 785.0 | 55.416 | 1960000.0 | 0.14 | 2018-10-17 | 55.484 |\n| 52.965 | 54.47 | 787.0 | 53.431 | 2190000.0 | 0.4 | 2018-10-19 | 53.638 |\n| 53.476 | 54.751 | 789.0 | 54.233 | 2400000.0 | -0.94 | 2018-10-21 | 53.721 |\n| 52.78 | 54.176 | 790.0 | 53.686 | 2240000.0 | -1.15 | 2018-10-22 | 53.105 |\n| 50.648 | 54.694 | 791.0 | 53.122 | 2470000.0 | 0.41 | 2018-10-23 | 53.32 |\n| 52.894 | 53.933 | 792.0 | 53.325 | 2910000.0 | -0.44 | 2018-10-24 | 53.088 |\n| 52.677 | 53.293 | 793.0 | 53.094 | 2100000.0 | -0.16 | 2018-10-25 | 53.003 |\n| 52.382 | 53.447 | 794.0 | 53.003 | 2570000.0 | -0.75 | 2018-10-26 | 52.607 |\n| 51.994 | 53.202 | 795.0 | 52.608 | 2190000.0 | -0.46 | 2018-10-27 | 52.364 |\n| 48.161 | 52.501 | 797.0 | 51.958 | 2710000.0 | -5.14 | 2018-10-29 | 49.314 |\n| 48.915 | 50.071 | 798.0 | 49.307 | 1520000.0 | 0.0 | 2018-10-30 | 49.314 |\n| 48.209 | 50.652 | 799.0 | 49.317 | 2510000.0 | 1.28 | 2018-10-31 | 49.943 |\n| 49.851 | 50.781 | 800.0 | 49.952 | 2050000.0 | 1.31 | 2018-11-01 | <missing_value_0> |\n| 48.241 | 52.113 | 801.0 | 50.595 | 2280000.0 | 2.21 | 2018-11-02 | 51.716 |\n| 48.437 | 56.253 | 803.0 | 51.115 | 2280000.0 | 6.76 | 2018-11-04 | 54.573 |\n| 52.94 | 55.129 | 804.0 | 54.572 | 2020000.0 | -1.84 | 2018-11-05 | 53.57 |\n| 51.256 | 56.477 | 805.0 | 53.567 | 1690000.0 | 5.28 | 2018-11-06 | 56.401 |\n\n### Response: "
 input_ids = prompt['input_ids'].to(model.device)
 with torch.no_grad():
   response_result = model.generate(