Model: bigscience/bloom
Author: bigscience
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, tensorboard, safetensors, bloom, text-generation, ak, ar, as, bm, bn, ca, code, en, es, eu, fon, fr, gu, hi, id, ig, ki, kn, lg, ln, ml, mr, ne, nso, ny, or, pa, pt, rn, rw, sn, st, sw, ta, te, tn, ts, tum, tw, ur, vi, wo, xh, yo, zh, zu, arxiv:2211.05100, arxiv:1909.08053, arxiv:2110.02861, arxiv:2108.12409, doi:10.57967/hf/0003, license:bigscience-bloom-rail-1.0, model-index, co2_eq_emissions, text-generation-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: license: bigscience-bloom-rail-1.0
language: ak, ar, as, bm, bn, ca, code, en, es, eu, fon, fr, gu, hi, id, ig, ki, kn, lg, ln, ml, mr, ne, nso, ny, or, pa, pt, rn, rw, sn, st, sw, ta, te, tn, ts, tum, tw, ur, vi, wo, xh, yo, zh, zu
programming_language: C, C++, C#, Go, Java, JavaScript, Lua, PHP, Python, Ruby, Rust, Scala, TypeScript
pipeline_tag: text-generation
widget: text: A "whatpu" is a small, furry animal native to Tanzania. An example of a sentence that uses the word whatpu is: We were traveling in Africa and we saw these very cute whatpus. | To do a "farduddle" means to jump up and down really fast. An example of a sentence that uses the word farduddle is:
example_title: Imaginary word
group: English, text: Un "whatpu" est un petit animal à fourrure originaire de Tanzanie. Un exemple de phrase qui utilise le mot whatpu est: Nous étions en Afrique et nous avons vu des whatpus trop mignons. Faire un "farduddle" veut dire sauter sur place vraiment vite. Un exemple de phrase qui utilise le mot farduddle est:
example_title: Imaginary word
group: French, text: Un "whatpu" es un pequeño animal peludo nativo de Tanzania. Un ejemplo de una oración que usa la palabra whatpu es: Estábamos viajando por África y vimos estos whatpus muy bonitos. Hacer un "farduddle" significa saltar arriba y abajo muy rápido. Un ejemplo de una oración que usa la palabra farduddle es:
example_title: Imaginary word
group: Spanish, text:  ال"واتبو" هو حيوان صغير مكسو بالفراء يعيش في تنزانيا. مثال على جملة تستخدم كلمة واتبو هي: كنا نسافر في افريقيا و رأينا هؤلاء الواتبو اللطفاء. للقيام ب"فاردادل" يعني ان تقفز للأعلى و الأسفل بسرعة كبيرة. مثال على جملة تستخدم كلمة فاردادل هي:
example_title: Imaginary word
group: Arabic, text: Um "whatpu" é um pequeno animal peludo nativo da Tanzânia. Um exemplo de uma frase que usa a palavra whatpu é: Estávamos a viajar por África e vimos uns whatpus muito queridos. Fazer um "farduddle" significa saltar para cima e para baixo muito rápido. Um exemplo de uma frase que usa a palavra farduddle é:
example: Imaginary word
group: Portuguese, text: Pour déguster un ortolan, il faut tout d'abord
example_title: Recipe
group: French, text: 34+10=44 
54+20=
example_title: Addition
group: Math, text: This tool converts irregular verbs to past tense.
Arise - Arose
Become - Became
Forget - Forgot
Freeze -
example_title: Irregular verbs
group: English, text: Please unscramble the letters into a word, and write that word:
r e!c.i p r o.c a/l = reciprocal
d.o m i!n a n.t =
example_title: Word unscrambling
group: English, text: Estos ejemplos quitan vocales de las palabras
Ejemplos:
hola - hl
manzana - mnzn
papas - pps
alacran - lcrn
papa -
example_title: Vowel removal
group: Spanish, text: Traduce español de España a español de Argentina
El coche es rojo - el auto es rojo
El ordenador es nuevo - la computadora es nueva
el boligrafo es negro - lapicera es negra
la nevera
example_title: Spanish to Argentinian Spanish
group: Spanish, text: To say "I love you" in Hindi, you would say
example_title: Translation to Hindi
group: English, text: To say "I love you" in Hindi, you would say
example_title: Translation from English
group: Hindi, text: Poor English: She no went to the market. Corrected English:
example_title: Grammar exercise 1
group: English, text: استخراج العدد العاملي في لغة بايثون:
example_title: Code generation
group: Arabic, text: Regexp. Here is a regular expression to match a word starting with a number and then having only vowels:
example_title: Regular expressions
group: English, text: Do a hello world in different languages:
Python: print("hello world")
R:
example_title: Code generation
group: English, text: Which is the correct preposition? I'm born X July. X is the preposition in
He sat X a chair. X is the preposition on
She drove X the bridge. X is the preposition
example_title: Grammar exercise 2
group: English, text: Traduction en français: Dans cet essai je vais m'interroger sur la conscience des modèles d'intelligence artificielle récents comme les modèles de langue. Pour commencer, je m'intéresserai à la notion de conscience et à ce qui la caractérise. Ensuite, j'aborderai la question de l'intelligence et de son lien avec le langage. Enfin, dans une dernière partie je me pencherai sur le cas de l'IA et sur sa conscience.
Traduction en espagnol:
example_title: Translation to Spanish
group: French, text: Traducción al francés: Dans cet essai je vais m'interroger sur la conscience des modèles d'intelligence artificielle récents comme les modèles de langue. Pour commencer, je m'intéresserai à la notion de conscience et à ce qui la caractérise. Ensuite, j'aborderai la question de l'intelligence et de son lien avec le langage. Enfin, dans une dernière partie je me pencherai sur le cas de l'IA et sur sa conscience.
Traducción al español:
example_title: Translation from French
group: Spanish, text: ذات مرة ، عاش شبل الدب في الغابة
example_title: Fairy tale
group: Arabic, text: एक बार की बात है, जंगल में एक भालू का शावक रहता था
example_title: Fairy tale
group: Hindi, text: Il était une fois une licorne qui vivait
example_title: Fairy tale
group: French, text: Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?
A: Let's think step by step.
example_title: Mathematical reasoning
group: English
co2_eq_emissions: emissions: 24700000
source: Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model. https://arxiv.org/abs/2211.02001
training_type: pre-training
geographical_location: Orsay, France
hardware_used: 384 A100 80GB GPUs
model-index: name: bloom
results: task: type: text-generation
dataset: type: openai_humaneval
name: humaneval
metrics: name: pass@1
type: pass@1
value: 0.15542682926829265
verified: no, name: pass@10
type: pass@10
value: 0.3278356276947017
verified: no, name: pass@100
type: pass@100
value: 0.5719815685597749
verified: no
Likes: 4970 | All-time downloads: 4815211
Created: 2022-05-19 11:53:33