ArthurZ HF staff commited on
Commit
eeb5dba
1 Parent(s): 4bd8b75

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +255 -0
README.md ADDED
@@ -0,0 +1,255 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - ace
4
+ - acm
5
+ - acq
6
+ - aeb
7
+ - af
8
+ - ajp
9
+ - ak
10
+ - als
11
+ - am
12
+ - apc
13
+ - ar
14
+ - ars
15
+ - ary
16
+ - arz
17
+ - as
18
+ - ast
19
+ - awa
20
+ - ayr
21
+ - azb
22
+ - azj
23
+ - ba
24
+ - bm
25
+ - ban
26
+ - be
27
+ - bem
28
+ - bn
29
+ - bho
30
+ - bjn
31
+ - bo
32
+ - bs
33
+ - bug
34
+ - bg
35
+ - ca
36
+ - ceb
37
+ - cs
38
+ - cjk
39
+ - ckb
40
+ - crh
41
+ - cy
42
+ - da
43
+ - de
44
+ - dik
45
+ - dyu
46
+ - dz
47
+ - el
48
+ - en
49
+ - eo
50
+ - et
51
+ - eu
52
+ - ee
53
+ - fo
54
+ - fj
55
+ - fi
56
+ - fon
57
+ - fr
58
+ - fur
59
+ - fuv
60
+ - gaz
61
+ - gd
62
+ - ga
63
+ - gl
64
+ - gn
65
+ - gu
66
+ - ht
67
+ - ha
68
+ - he
69
+ - hi
70
+ - hne
71
+ - hr
72
+ - hu
73
+ - hy
74
+ - ig
75
+ - ilo
76
+ - id
77
+ - is
78
+ - it
79
+ - jv
80
+ - ja
81
+ - kab
82
+ - kac
83
+ - kam
84
+ - kn
85
+ - ks
86
+ - ka
87
+ - kk
88
+ - kbp
89
+ - kea
90
+ - khk
91
+ - km
92
+ - ki
93
+ - rw
94
+ - ky
95
+ - kmb
96
+ - kmr
97
+ - knc
98
+ - kg
99
+ - ko
100
+ - lo
101
+ - lij
102
+ - li
103
+ - ln
104
+ - lt
105
+ - lmo
106
+ - ltg
107
+ - lb
108
+ - lua
109
+ - lg
110
+ - luo
111
+ - lus
112
+ - lvs
113
+ - mag
114
+ - mai
115
+ - ml
116
+ - mar
117
+ - min
118
+ - mk
119
+ - mt
120
+ - mni
121
+ - mos
122
+ - mi
123
+ - my
124
+ - nl
125
+ - nn
126
+ - nb
127
+ - npi
128
+ - nso
129
+ - nus
130
+ - ny
131
+ - oc
132
+ - ory
133
+ - pag
134
+ - pa
135
+ - pap
136
+ - pbt
137
+ - pes
138
+ - plt
139
+ - pl
140
+ - pt
141
+ - prs
142
+ - quy
143
+ - ro
144
+ - rn
145
+ - ru
146
+ - sg
147
+ - sa
148
+ - sat
149
+ - scn
150
+ - shn
151
+ - si
152
+ - sk
153
+ - sl
154
+ - sm
155
+ - sn
156
+ - sd
157
+ - so
158
+ - st
159
+ - es
160
+ - sc
161
+ - sr
162
+ - ss
163
+ - su
164
+ - sv
165
+ - swh
166
+ - szl
167
+ - ta
168
+ - taq
169
+ - tt
170
+ - te
171
+ - tg
172
+ - tl
173
+ - th
174
+ - ti
175
+ - tpi
176
+ - tn
177
+ - ts
178
+ - tk
179
+ - tum
180
+ - tr
181
+ - tw
182
+ - tzm
183
+ - ug
184
+ - uk
185
+ - umb
186
+ - ur
187
+ - uzn
188
+ - vec
189
+ - vi
190
+ - war
191
+ - wo
192
+ - xh
193
+ - ydd
194
+ - yo
195
+ - yue
196
+ - zh
197
+ - zsm
198
+ - zu
199
+
200
+ language_details: "ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab, aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab, asm_Beng, ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl, bam_Latn, ban_Latn,bel_Cyrl, bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn, bod_Tibt, bos_Latn, bug_Latn, bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn, cjk_Latn, ckb_Arab, crh_Latn, cym_Latn, dan_Latn, deu_Latn, dik_Latn, dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn, est_Latn, eus_Latn, ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn, fra_Latn, fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr, hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn, hye_Armn, ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn, jpn_Jpan, kab_Latn, kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva, kat_Geor, knc_Arab, knc_Latn, kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr, kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn, kon_Latn, kor_Hang, kmr_Latn, lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn, lit_Latn, lmo_Latn, ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn, mag_Deva, mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn, mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn, nno_Latn, nob_Latn, npi_Deva, nso_Latn, nus_Latn, nya_Latn, oci_Latn, gaz_Latn, ory_Orya, pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn, prs_Arab, pbt_Arab, quy_Latn, ron_Latn, run_Latn, rus_Cyrl, sag_Latn, san_Deva, sat_Beng, scn_Latn, shn_Mymr, sin_Sinh, slk_Latn, slv_Latn, smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn, spa_Latn, als_Latn, srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn, szl_Latn, tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi, taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn, tur_Latn, twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab, uzn_Latn, vec_Latn, vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr, yor_Latn, yue_Hant, zho_Hans, zho_Hant, zul_Latn"
201
+
202
+ tags:
203
+ - nllb
204
+ - nllb-moe
205
+ - translation
206
+ license: "cc-by-nc-4.0"
207
+ datasets:
208
+ - flores-200
209
+ metrics:
210
+ - bleu
211
+ - spbleu
212
+ - chrf++
213
+ inference: false
214
+ ---
215
+
216
+ # NLLB-MoE
217
+
218
+ This is the model card of NLLB-MoE variant.
219
+
220
+ - Information about training algorithms, parameters, fairness constraints or other applied approaches, and features. The exact training algorithm, data and the strategies to handle data imbalances for high and low resource languages that were used to train NLLB-200 is described in the paper.
221
+ - Paper or other resource for more information NLLB Team et al, No Language Left Behind: Scaling Human-Centered Machine Translation, Arxiv, 2022
222
+ - License: CC-BY-NC
223
+ - Where to send questions or comments about the model: https://github.com/facebookresearch/fairseq/issues
224
+
225
+ The NLLB model was presented in [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) by Marta R. Costa-jussà, James Cross, Onur Çelebi,
226
+ Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula,
227
+ Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews,
228
+ Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers,
229
+ Safiyyah Saleem, Holger Schwenk, and Jeff Wang.
230
+
231
+ ## Generating with NLLB-MoE
232
+ The avalable checkpoints requires around 350GB of storage. Make sure to use `accelerate` if you do not have enough RAM on your machine.
233
+
234
+ While generating the target text set the `forced_bos_token_id` to the target language id. The following
235
+ example shows how to translate English to French using the *facebook/nllb-200-distilled-600M* model.
236
+
237
+ Note that we're using the BCP-47 code for French `fra_Latn`. See [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)
238
+ for the list of all BCP-47 in the Flores 200 dataset.
239
+
240
+ ```python
241
+ >>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
242
+
243
+ >>> tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-moe-54b")
244
+ >>> model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-moe-54b")
245
+
246
+ >>> article = "UN Chief says there is no military solution in Syria"
247
+ >>> inputs = tokenizer(article, return_tensors="pt")
248
+
249
+ >>> translated_tokens = model.generate(
250
+ ... **inputs, forced_bos_token_id=tokenizer.lang_code_to_id["fra_Latn"], max_length=30
251
+ ... )
252
+ >>> tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)[0]
253
+ Le chef de l'ONU dit qu'il n'y a pas de solution militaire en Syrie
254
+ ```
255
+