Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Resources  
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Explore Pricing
Product  
Data Engine LLMs Platform Enterprise
Connect to Dagshub Discord channel
Register
Login

avatar Guy
/
fairseq

Watch 2
Issues 0 Pull Requests 0 Discussions 0

command_line_tools.rst 1.6 KB
Permalink History Raw

You have to be logged in to leave a comment. Sign In
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85 
  1. .. _Command-line Tools:
    2. 

  2. 

  3. Command-line Tools
    4. 

  4. ==================
    5. 

  5. 

  6. Fairseq provides several command-line tools for training and evaluating models:
    7. 

  7. 

  8. - :ref:`preprocess.py`: Data pre-processing: build vocabularies and binarize training data
    9. 

  9. - :ref:`train.py`: Train a new model on one or multiple GPUs
    10. 

  10. - :ref:`generate.py`: Translate pre-processed data with a trained model
    11. 

  11. - :ref:`interactive.py`: Translate raw text with a trained model
    12. 

  12. - :ref:`score.py`: BLEU scoring of generated translations against reference translations
    13. 

  13. - :ref:`eval_lm.py`: Language model evaluation
    14. 

  14. 

  15. 

  16. .. _preprocess.py:
    17. 

  17. 

  18. preprocess.py
    19. 

  19. ~~~~~~~~~~~~~
    20. 

  20. .. automodule:: preprocess
    21. 

  21. 

  22.     .. argparse::
    23. 

  23.         :module: preprocess
    24. 

  24.         :func: get_parser
    25. 

  25.         :prog: preprocess.py
    26. 

  26. 

  27. 

  28. .. _train.py:
    29. 

  29. 

  30. train.py
    31. 

  31. ~~~~~~~~
    32. 

  32. .. automodule:: train
    33. 

  33. 

  34.     .. argparse::
    35. 

  35.         :module: fairseq.options
    36. 

  36.         :func: get_training_parser
    37. 

  37.         :prog: train.py
    38. 

  38. 

  39. 

  40. .. _generate.py:
    41. 

  41. 

  42. generate.py
    43. 

  43. ~~~~~~~~~~~
    44. 

  44. .. automodule:: generate
    45. 

  45. 

  46.     .. argparse::
    47. 

  47.         :module: fairseq.options
    48. 

  48.         :func: get_generation_parser
    49. 

  49.         :prog: generate.py
    50. 

  50. 

  51. 

  52. .. _interactive.py:
    53. 

  53. 

  54. interactive.py
    55. 

  55. ~~~~~~~~~~~~~~
    56. 

  56. .. automodule:: interactive
    57. 

  57. 

  58.     .. argparse::
    59. 

  59.         :module: fairseq.options
    60. 

  60.         :func: get_interactive_generation_parser
    61. 

  61.         :prog: interactive.py
    62. 

  62. 

  63. 

  64. .. _score.py:
    65. 

  65. 

  66. score.py
    67. 

  67. ~~~~~~~~
    68. 

  68. .. automodule:: score
    69. 

  69. 

  70.     .. argparse::
    71. 

  71.         :module: score
    72. 

  72.         :func: get_parser
    73. 

  73.         :prog: score.py
    74. 

  74. 

  75. 

  76. .. _eval_lm.py:
    77. 

  77. 

  78. eval_lm.py
    79. 

  79. ~~~~~~~~~~
    80. 

  80. .. automodule:: eval_lm
    81. 

  81. 

  82.     .. argparse::
    83. 

  83.         :module: fairseq.options
    84. 

  84.         :func: get_eval_lm_parser
    85. 

  85.         :prog: eval_lm.py
    86.
Prev
Next
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Write Preview
Loading...
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Google Storage bucket

Service Account Key

Congratulations!

fairseq is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

fairseq is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

fairseq is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

fairseq is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes