modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
BenDavis71/GPT-2-Finetuning-AIRaid | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2022-12-05T03:54:04Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: CRS
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CRS
This model is a fine-tuned versio... | [
-0.037893231958150864,
-0.008031855337321758,
-0.024224942550063133,
0.03804575279355049,
0.02870541252195835,
0.027888214215636253,
-0.016476795077323914,
-0.005681402049958706,
-0.03140608221292496,
0.05815434083342552,
0.03411930799484253,
-0.01544778048992157,
0.016390018165111542,
0.0... |
BenQLange/HF_bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-05T04:01:03Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ORS
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ORS
This model is a fine-tuned versio... | [
-0.03935955837368965,
-0.016965094953775406,
-0.01445065625011921,
0.03559766337275505,
0.029780400916934013,
0.02620050497353077,
-0.012355335988104343,
-0.001962816109880805,
-0.03192527964711189,
0.05803275108337402,
0.031996458768844604,
-0.014400632120668888,
0.014551480300724506,
0.0... |
Bharathdamu/wav2vec2-model-hindibhasha | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-05T04:49:02Z | ---
tags:
- xsum_v1_last
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: pegasus-large-finetune-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
args: default
metrics:
... | [
-0.01553441397845745,
-0.01549708191305399,
0.006505575031042099,
0.03635783866047859,
0.03668259456753731,
-0.0010660234838724136,
-0.023498794063925743,
-0.03815814107656479,
-0.01780458725988865,
0.050888750702142715,
0.029428934678435326,
-0.00672626169398427,
-0.0024215138982981443,
0... |
Bhumika/roberta-base-finetuned-sst2 | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 85 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- top_v2
model-index:
- name: byt5-base-top_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this ... | [
-0.010786313563585281,
0.003981144167482853,
0.0026191147044301033,
0.03512212261557579,
0.025768527761101723,
0.0034931262489408255,
-0.021896447986364365,
-0.006903303321450949,
-0.03128960356116295,
0.03845315799117088,
0.019349271431565285,
-0.0379321426153183,
0.005242037121206522,
0.... |
Bia18/Beatriz | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dist... | [
-0.01632632128894329,
-0.018350085243582726,
-0.017821066081523895,
0.019593117758631706,
0.0406794436275959,
0.012672063894569874,
-0.010491972789168358,
-0.004700645338743925,
-0.04436234384775162,
0.06398644298315048,
0.022478803992271423,
-0.010451266542077065,
0.009160620160400867,
0.... |
Biasface/DDDC | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | 2022-12-05T05:30:57Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### v2-object-16img-2000training Dreambooth model trained by spiron with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-768 base model
You run your new concept via `diffusers` [Colab Note... | [
-0.03751182556152344,
-0.028942430391907692,
-0.02598118782043457,
0.03308362513780594,
0.030075227841734886,
0.014724243432283401,
-0.0334194079041481,
-0.01930762641131878,
-0.0075269220396876335,
0.04185858741402626,
0.023134691640734673,
0.014924940653145313,
-0.03159286454319954,
0.04... |
BigDaddyNe1L/Hhaa | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dist... | [
-0.015777068212628365,
-0.018255069851875305,
-0.01787826232612133,
0.019770046696066856,
0.04095027968287468,
0.012492317706346512,
-0.010389872826635838,
-0.0038377137389034033,
-0.044896289706230164,
0.06395842134952545,
0.02244376763701439,
-0.011118163354694843,
0.009213185869157314,
... |
BigSalmon/BestMask2 | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 10 | 2022-12-05T05:50:21Z | ---
license: apache-2.0
---
MobileNet V2 model from Torchvision fine-tuned for Imagenette dataset. Checkpoint trained for 100 epoches using https://github.com/alexsu52/mobilenet_v2_imagenette.
Top-1 accuracy is 98.64%.
The main intent is to use it in samples and demos for model optimization. Here is the advantages:
-... | [
-0.007994282059371471,
0.0057849036529660225,
-0.01067374087870121,
0.003912253305315971,
0.029969369992613792,
-0.013300920836627483,
0.005366535857319832,
0.008328242227435112,
-0.039588335901498795,
0.06283783912658691,
0.03566893935203552,
-0.012902941554784775,
0.019288506358861923,
0... |
BigSalmon/FormalBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NL-RX-Synth-t5-base-finetuned-en-to-regex
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | [
-0.007453366182744503,
-0.008478325791656971,
0.0074190497398376465,
0.029383404180407524,
0.0298197902739048,
0.01930253952741623,
-0.02387046627700329,
-0.017472587525844574,
-0.029354434460401535,
0.04287974536418915,
0.007868674583733082,
-0.019820192828774452,
0.004205022472888231,
0.... |
BigSalmon/FormalRobertaaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | [
-0.028452442958950996,
-0.017141539603471756,
-0.012304541654884815,
0.01663866639137268,
0.040881864726543427,
0.023465318605303764,
-0.014026928693056107,
-0.01634320430457592,
-0.04707712680101395,
0.06153976544737816,
0.03243106231093407,
-0.025941047817468643,
0.0026998035609722137,
0... |
BigSalmon/FroBurta | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-05T06:22:57Z | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: imagefolder
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# ddpm-butterfl... | [
-0.018307272344827652,
-0.016787393018603325,
-0.0034462567418813705,
0.03814367204904556,
0.01550817396491766,
0.006348823197185993,
0.02102310210466385,
-0.00034936220617964864,
-0.0041984980925917625,
0.05524427816271782,
0.017187030985951424,
-0.01941637694835663,
0.010066671296954155,
... |
BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 8 | null | ---
tags:
- generated_from_trainer
model-index:
- name: pegasus-pubmed_dataset_radiology_summary20221129.tsv
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pe... | [
-0.026400741189718246,
-0.02591053768992424,
-0.004652156960219145,
0.027887308970093727,
0.03729785606265068,
0.007126047741621733,
-0.014429943636059761,
-0.026313289999961853,
-0.012608494609594345,
0.04525773227214813,
0.029672902077436447,
-0.006799909286201,
0.0037738895043730736,
0.... |
BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 10 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: lyrics-generator-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# lyrics-generator-v2
T... | [
-0.020137576386332512,
-0.011086542159318924,
-0.014627788215875626,
0.042232695966959,
0.02602490969002247,
0.023588016629219055,
-0.005564562976360321,
-0.001331423525698483,
-0.034709345549345016,
0.05646685138344765,
0.025845851749181747,
-0.027785561978816986,
0.022236306220293045,
0.... |
BigSalmon/GPTNeo350MInformalToFormalLincoln4 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 11 | 2022-12-05T07:05:25Z | # iSTFTNet Pre-Trained Models
https://github.com/rishikksh20/iSTFTNet-pytorch
Information about files:
As of right now, the files seen in this repository were trained on 22khz sample rates only.
Format:
- g_ = generator
- do_ = discriminator
- _xxxxxx = step #
- music_ = models with music indicate it has been ... | [
-0.028397059068083763,
0.004155059810727835,
-0.04073891416192055,
0.04594547674059868,
0.028312498703598976,
0.05338391289114952,
0.01689361408352852,
0.012630496174097061,
-0.02960660681128502,
0.032662492245435715,
0.06440796703100204,
0.02144395001232624,
0.0035824908409267664,
0.05956... |
BigSalmon/GPTNeo350MInformalToFormalLincoln5 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 11 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
-0.04241245985031128,
-0.01673084683716297,
-0.01693803071975708,
0.03238249570131302,
0.0510433129966259,
-0.0054492405615746975,
-0.010569275356829166,
-0.026499494910240173,
-0.031978871673345566,
0.05308787524700165,
0.022312242537736893,
-0.0313212089240551,
0.018173180520534515,
0.01... |
BigSalmon/GPTNeo350MInformalToFormalLincoln6 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 14 | 2022-12-05T07:19:04Z | ---
language:
- it
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small It - Gianluca Ruberto
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
d... | [
-0.03335103392601013,
-0.004629726521670818,
-0.0020634294487535954,
0.030656425282359123,
0.04159731790423393,
-0.00041895927279256284,
0.003036720445379615,
-0.00763649633154273,
-0.027470704168081284,
0.0686376616358757,
0.02781209908425808,
-0.029434269294142723,
-0.0005834014154970646,
... |
BigSalmon/GoodMaskResults | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 9 | 2022-12-05T07:27:30Z | ---
datasets:
- bs-la/xP3ru
license: bigscience-bloom-rail-1.0
model-index:
- name: bloomz-7b1
results:
- task:
type: Coreference resolution
dataset:
type: Muennighoff/xwinograd
name: XWinograd (ru)
config: ru
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
... | [
-0.012345529161393642,
-0.0050148433074355125,
-0.0010068279225379229,
0.034620173275470734,
0.02412426844239235,
-0.00945692416280508,
-0.005205884110182524,
-0.038509927690029144,
-0.0556974783539772,
0.08074121922254562,
0.06041806563735008,
0.004490633029490709,
0.029604101553559303,
0... |
BigSalmon/InfillFormalLincoln | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
language:
- sv
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small - Swedish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... | [
-0.03160713613033295,
-0.0008127251639962196,
-0.009511888958513737,
0.05270162224769592,
0.04562390223145485,
-0.007152566686272621,
-0.01283571869134903,
0.00721376109868288,
-0.03254931792616844,
0.07506828010082245,
0.025347018614411354,
-0.03513418138027191,
-0.0069833118468523026,
0.... |
BigSalmon/InformalToFormalLincoln17 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# lmxhappy/new_bert
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like c... | [
-0.029597988352179527,
-0.019456185400485992,
-0.02380182407796383,
0.058410290628671646,
0.014521706849336624,
0.03573527932167053,
-0.027104686945676804,
-0.01624979078769684,
-0.060262907296419144,
0.08185549825429916,
0.02466319315135479,
0.009846584871411324,
0.004134391434490681,
0.0... |
BigSalmon/InformalToFormalLincoln19 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ajdowney/3epoch-1warmup-0.1decay
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# a... | [
-0.03688030689954758,
-0.009739761240780354,
-0.014770248904824257,
0.02931579016149044,
0.037179071456193924,
0.009270601905882359,
-0.01759207434952259,
-0.023280266672372818,
-0.04045215621590614,
0.0575890988111496,
0.003081649076193571,
-0.033331576734781265,
0.022248370572924614,
0.0... |
BigSalmon/Neo | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 13 | 2022-12-05T08:53:08Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.022722065448760986,
-0.013641195371747017,
0.011667083948850632,
0.030376514419913292,
0.023171065375208855,
0.025949539616703987,
0.004165680147707462,
-0.008029353804886341,
-0.005446216091513634,
0.06257154047489166,
-0.0013908385299146175,
-0.015912216156721115,
0.024050865322351456,
... |
BigSalmon/T5F | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | null | # gpt2-medium-nlg-multiwoz21_sgd_tm1_tm2_tm3
This model is a fine-tuned version of [GPT2-medium](https://huggingface.co/gpt2-medium) on [MultiWOZ21](https://huggingface.co/datasets/ConvLab/multiwoz21), [Schema-Guided Dialogue](https://huggingface.co/datasets/ConvLab/sgd), [TaskMaster1](https://huggingface.co/datasets/... | [
-0.03745975345373154,
-0.011919313110411167,
-0.028441447764635086,
0.034491050988435745,
0.03676419332623482,
0.032680775970220566,
-0.006060323677957058,
-0.005237850826233625,
-0.020141910761594772,
0.036289557814598083,
0.038197796791791916,
-0.012761694379150867,
-0.005094344262033701,
... |
BobBraico/distilbert-base-uncased-finetuned-imdb-accelerate | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | Access to model gitigt/test_001 is restricted and you are not in the authorized list. Visit https://huggingface.co/gitigt/test_001 to ask for access. | [
-0.03393490985035896,
-0.016942357644438744,
0.0038050261791795492,
0.016317278146743774,
0.03989433869719505,
0.018255995586514473,
-0.00257992185652256,
0.009597032330930233,
-0.05452078953385353,
0.05167311057448387,
0.030740266665816307,
-0.0020969752222299576,
0.005369385704398155,
0.... |
BobBraico/distilbert-base-uncased-finetuned-imdb | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
language: en
datasets:
- Jzuluaga/atco2_corpus_1h
tags:
- text
- token-classification
- en-atc
- en
- generated_from_trainer
- bert
- ner-for-atc
metrics:
- Precision
- Recall
- Accuracy
- F1
widget:
- text: "csa two nine six startup approved mike current qnh one zero one eight time check one se... | [
-0.027559563517570496,
-0.0009110295795835555,
-0.037264034152030945,
0.04271172359585762,
0.05047163367271423,
0.02207404188811779,
-0.01185563299804926,
-0.007822156883776188,
-0.028259504586458206,
0.05820389837026596,
0.02529342658817768,
-0.00860090646892786,
0.005507804919034243,
0.0... |
BonjinKim/dst_kor_bert | [
"pytorch",
"jax",
"bert",
"pretraining",
"transformers"
] | null | {
"architectures": [
"BertForPreTraining"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 5 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Stable Diffusion - Pokemon, 256px
Model developed for the Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class).
This model is a diffusion model for un... | [
-0.00901330728083849,
-0.015027625486254692,
-0.002890505362302065,
0.026090051978826523,
0.035052236169576645,
0.01690595969557762,
0.027722535654902458,
-0.009410249069333076,
-0.015663860365748405,
0.05056976154446602,
0.009682638570666313,
-0.01351132057607174,
0.011150685139000416,
0.... |
BossLee/t5-gec | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | null | ---
license: apache-2.0
language: en
datasets:
- Jzuluaga/uwb_atcc
tags:
- text
- sequence-classification
- en-atc
- en
- generated_from_trainer
- bert
- bertraffic
metrics:
- Precision
- Recall
- Accuracy
- F1
widget:
- text: "csa two nine six startup approved mike current qnh one zero one eight time check one seven"
... | [
-0.023290583863854408,
0.004910407587885857,
-0.036325518041849136,
0.05710701644420624,
0.05040957033634186,
0.01984507218003273,
-0.015200989320874214,
-0.010248059406876564,
-0.026299338787794113,
0.050607673823833466,
0.030939992517232895,
-0.008874790742993355,
0.015914181247353554,
0... |
Botslity/Bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: ta
datasets:
- wikiann
examples:
widget:
- text: "இந்திய"
example_title: "Sentence_1"
- text: "இந்தியா வளர்ந்து வரும் வல்லரசு"
example_title: "Sentence_2"
- text: "2050ல் இந்தியா உலகின் மிகப்பெரிய பொருளாதார நாடாக மாறும்"
example_title: "Sentence_3"
- text: "இந்தியாவின் வெளியுறவுத்துறை அமைச்சர் திரு.... | [
-0.014685646630823612,
-0.014350520446896553,
-0.004706481005996466,
0.05255100131034851,
0.04919949918985367,
0.029546670615673065,
-0.011642500758171082,
-0.03539763018488884,
-0.05477912724018097,
0.058132003992795944,
-0.006933728698641062,
-0.030020402744412422,
0.030577490106225014,
... |
Brendan/cse244b-hw2-roberta | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 28 | 2022-12-05T10:29:30Z | ---
tags:
- generated_from_keras_callback
model-index:
- name: dung1308/RM_system_not_mixed__NLP_model_90_10_CPU
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dung... | [
-0.028573844581842422,
0.0013443594798445702,
0.00795152597129345,
0.013752401806414127,
0.022708797827363014,
-0.002941613318398595,
-0.013447696343064308,
-0.020461509004235268,
-0.029669253155589104,
0.05299319326877594,
0.01781969889998436,
-0.030252989381551743,
0.024738481268286705,
... |
BritishLibraryLabs/bl-books-genre | [
"pytorch",
"distilbert",
"text-classification",
"multilingual",
"dataset:blbooksgenre",
"transformers",
"genre",
"books",
"library",
"historic",
"glam ",
"lam",
"license:mit",
"has_space"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 76 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: robbert-dutch-base-squad-nl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robbert-dutch-... | [
-0.03836965188384056,
-0.007339542265981436,
-0.016834214329719543,
0.021050089970231056,
0.04181421175599098,
0.024532360956072807,
-0.023794494569301605,
-0.006861806847155094,
-0.04000060632824898,
0.04940357804298401,
0.023255683481693268,
-0.02715325355529785,
0.013075301423668861,
0.... |
Brona/model1 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-xsmall-indonesia-squadv2
results: []
widget:
- text: "Siapa yang mendirikan Sunda Pura?"
context: "Pada tahun 397 M, Raja Purnawarman mendirikan Sunda Pura, yang terletak di pantai utara Jawa Barat, sebagai ibu kota baru kerajaan.Ibu ko... | [
-0.0011910796165466309,
-0.025053180754184723,
-0.025626612827181816,
0.034565575420856476,
0.04225853458046913,
0.01693393476307392,
0.00402192585170269,
-0.012851846404373646,
-0.030960388481616974,
0.05966794863343239,
0.004364599008113146,
-0.03359536826610565,
0.005682012531906366,
0.... |
Bryanwong/wangchanberta-ner | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-banking-16-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | [
-0.022876674309372902,
0.00029110797913745046,
0.0029842511285096407,
0.03159737214446068,
0.03809983283281326,
0.018145786598324776,
-0.007535894867032766,
-0.02613689750432968,
-0.04234960302710533,
0.048362262547016144,
0.013837737031280994,
-0.02454935759305954,
0.00867488980293274,
0.... |
Bwehfuk/Ron | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-banking-1000-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | [
-0.022275367751717567,
0.0047873444855213165,
0.004484901670366526,
0.03316061943769455,
0.03747937083244324,
0.01857074536383152,
-0.005580107681453228,
-0.026156773790717125,
-0.042572956532239914,
0.04724859446287155,
0.015875011682510376,
-0.023470358923077583,
0.007891219109296799,
0.... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 16,451 | null | ---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6.7b-ri-reproduce-combined-4-gpu-20-val-v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
-0.03291343152523041,
-0.0016767627093940973,
-0.010274293832480907,
0.02993241883814335,
0.04027717188000679,
0.028053225949406624,
-0.027473408728837967,
-0.017386408522725105,
-0.028037140145897865,
0.06167060136795044,
0.0516955703496933,
-0.01911199651658535,
0.017531288787722588,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 32 | 2022-12-05T12:14:00Z | ---
language:
- tt
license: apache-2.0
tags:
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Tatar - Kirill Milintsevich
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozi... | [
-0.024672208353877068,
-0.006750172469764948,
-0.015397227369248867,
0.04683411493897438,
0.04977921023964882,
0.01527348905801773,
-0.013268083333969116,
-0.012875501997768879,
-0.021256180480122566,
0.06691800802946091,
0.037941109389066696,
-0.035314224660396576,
0.011528764851391315,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 229 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-small-mlm-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-... | [
-0.016455866396427155,
0.01427490171045065,
-0.016291558742523193,
0.03131188079714775,
0.036924369633197784,
0.011761555448174477,
-0.03364493325352669,
-0.01903264969587326,
-0.023759663105010986,
0.06288392841815948,
0.016927799209952354,
-0.037319980561733246,
0.031024718657135963,
0.0... |
CAUKiel/JavaBERT-uncased | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-credit_cards-16-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
-0.018607011064887047,
-0.0017175227403640747,
-0.0034633208997547626,
0.019893711432814598,
0.03506579250097275,
0.021176546812057495,
-0.009502941742539406,
-0.023708559572696686,
-0.036586154252290726,
0.04806298017501831,
0.025625845417380333,
-0.013516281731426716,
0.006367406342178583,... |
CAUKiel/JavaBERT | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"code",
"arxiv:2110.10404",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 388 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037675078958272934,
-0.0027128057554364204,
-0.005443400237709284,
0.02571021392941475,
0.04537476599216461,
-0.02134043350815773,
-0.005103534087538719,
-0.02789720706641674,
-0.033074263483285904,
0.06674163788557053,
0.03234801068902016,
-0.023100482299923897,
0.02246786281466484,
0.... |
CBreit00/DialoGPT_small_Rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | Access to model rafat0421/Whisper is restricted and you are not in the authorized list. Visit https://huggingface.co/rafat0421/Whisper to ask for access. | [
-0.05495981499552727,
0.002507154829800129,
-0.011918812058866024,
0.028765929862856865,
0.04813511297106743,
0.006686907261610031,
0.012277835980057716,
0.0071445126086473465,
-0.021695714443922043,
0.06106140464544296,
0.05324913561344147,
-0.008315405808389187,
0.006979839410632849,
0.0... |
CL/safe-math-bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Redex-NL-RX-Synth-t5-small-finetuned-en-to-regex-finetuned-en-to-regex
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
0.002820765133947134,
-0.0026578279212117195,
0.006252453662455082,
0.005956845358014107,
0.03405402600765228,
0.0180038008838892,
-0.031383216381073,
-0.027683904394507408,
-0.034918930381536484,
0.04760120064020157,
0.0018069366924464703,
-0.013047950342297554,
-0.00027166251675225794,
0... |
CLAck/en-km | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | 2022-12-06T04:23:02Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-fda
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-fda
This... | [
-0.023422613739967346,
-0.016778837889432907,
-0.01081828773021698,
0.02507868967950344,
0.049279045313596725,
0.014297244139015675,
-0.008222079835832119,
-0.008280850015580654,
-0.04754986613988876,
0.06111222878098488,
0.01732950285077095,
-0.015223592519760132,
-0.002761667361482978,
0... |
CLEE/CLEE | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-05T13:43:49Z | ---
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_Coff_Ev2
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9922248804
- name: NER Recall
type: recall
value: 0.9916... | [
-0.0131633710116148,
0.014270528219640255,
-0.012723992578685284,
0.041781388223171234,
0.058076635003089905,
-0.007986991666257381,
-0.008344544097781181,
-0.005835684947669506,
-0.029289284721016884,
0.057241618633270264,
0.03398973494768143,
-0.007792812772095203,
0.005288778338581324,
... |
CLTL/MedRoBERTa.nl | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 2,988 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ssmoky-v2-512-diffusion Dreambooth model trained by guumaster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via... | [
-0.03340773284435272,
-0.018527774140238762,
-0.03223190829157829,
0.030298318713903427,
0.02664242498576641,
0.02510664612054825,
-0.0017488790908828378,
-0.005399135872721672,
-0.00986787211149931,
0.030872805044054985,
0.03790684789419174,
0.019325539469718933,
-0.015651388093829155,
0.... |
CLTL/icf-levels-mbw | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-kitchen_and_dining-2-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
-0.025297880172729492,
-0.0002265585062559694,
0.001297086477279663,
0.04566234350204468,
0.04045829176902771,
0.0022508653346449137,
-0.00942518375813961,
-0.021760834380984306,
-0.038922879844903946,
0.05713951215147972,
0.00944522675126791,
-0.01882590726017952,
0.008882337249815464,
0.... |
CM-CA/Cartman | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
model_creators:
- Jordan Painter, Diptesh Kanojia
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bertweet-base-finetuned-SARC-combined-DS
results: []
widget:
- text: "wow, i mean who would have thought"
---
# Utilising Weak Supervision to Create S3D: A Sarcasm ... | [
-0.004930366296321154,
-0.008235640823841095,
-0.010743889026343822,
0.03896181657910347,
0.05850784108042717,
0.05166240036487579,
-0.020869191735982895,
-0.008329736068844795,
-0.024123579263687134,
0.03259417414665222,
0.04527944698929787,
-0.008221183903515339,
0.00340827414765954,
0.0... |
CSResearcher/TestModel | [
"license:mit"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | # Resnet34 Sketch Classifier
This is a basic sketch classifier using [ResNet-34](https://huggingface.co/microsoft/resnet-34) and fine-tuning it on the full [TU-Berlin dataset](https://huggingface.co/datasets/kmewhort/tu-berlin-png). | [
-0.0059433672577142715,
0.010522107593715191,
-0.007692581973969936,
0.025979777798056602,
0.03074772283434868,
0.006030062213540077,
-0.05315639078617096,
0.02762134186923504,
-0.014496328309178352,
0.04932001978158951,
-0.01854506880044937,
0.00044779342715628445,
0.0012137459125369787,
... |
CSZay/bart | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.022695211693644524,
-0.01132170855998993,
0.011788672767579556,
0.029462188482284546,
0.02104307897388935,
0.02602267637848854,
0.007276513613760471,
-0.009066524915397167,
-0.0072297509759664536,
0.06019723787903786,
0.0018291526939719915,
-0.013832662254571915,
0.02450719103217125,
0.... |
CTBC/ATS | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-historic-multilingual-cased-squad-nl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... | [
-0.03260098397731781,
-0.0167127326130867,
-0.03676148131489754,
0.06522653996944427,
0.026915796101093292,
0.022503504529595375,
-0.015613917261362076,
-0.01800040900707245,
-0.051822178065776825,
0.04805456101894379,
0.01389069389551878,
-0.03445092961192131,
0.019292309880256653,
0.0402... |
Cameron/BERT-Jigsaw | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 35 | null | ---
language: fi
tags:
- whisper-medium
- mozilla-foundation/common_voice_11_0
- Finnish
- whisper-event
metrics: wer
license: creativeml-openrail-m
---
| [
-0.03886847198009491,
-0.006991981528699398,
0.007012980990111828,
0.0009027152555063367,
0.05791483446955681,
0.026999229565262794,
0.0050690365023911,
0.010704554617404938,
-0.03396878391504288,
0.054549600929021835,
0.04581234231591225,
-0.01895785704255104,
0.015035205520689487,
0.0164... |
Cameron/BERT-jigsaw-identityhate | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.020881203934550285,
-0.012677143327891827,
0.011616649106144905,
0.030893955379724503,
0.024355310946702957,
0.02404540777206421,
0.0055518988519907,
-0.007042142562568188,
-0.006203604396432638,
0.06296852976083755,
-0.0003821732825599611,
-0.017344530671834946,
0.024586575105786324,
0... |
Cameron/BERT-mdgender-convai-ternary | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 38 | 2022-12-05T14:55:25Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.023032566532492638,
-0.011229152791202068,
0.011901354417204857,
0.02939101681113243,
0.020433485507965088,
0.025983519852161407,
0.007062946911901236,
-0.00881473533809185,
-0.007369968108832836,
0.060573041439056396,
0.0011739503825083375,
-0.014404659159481525,
0.02442876808345318,
0... |
Canadiancaleb/DialoGPT-small-jesse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2022-12-05T15:03:02Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
--- | [
-0.025307299569249153,
-0.006982477381825447,
-0.03148074448108673,
0.0062677436508238316,
0.04114983603358269,
-0.0064963665790855885,
0.0007869948167353868,
0.013401374220848083,
-0.02388296090066433,
0.04368248209357262,
0.0328110046684742,
0.011041378602385521,
0.02551598660647869,
0.0... |
CapitainData/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
--- | [
-0.025307299569249153,
-0.006982477381825447,
-0.03148074448108673,
0.0062677436508238316,
0.04114983603358269,
-0.0064963665790855885,
0.0007869948167353868,
0.013401374220848083,
-0.02388296090066433,
0.04368248209357262,
0.0328110046684742,
0.011041378602385521,
0.02551598660647869,
0.0... |
Capreolus/birch-bert-large-car_mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
"architectures": [
"BertForNextSentencePrediction"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 4 | null | ---
language: ko
license: apache-2.0
---
# hyunwoo3235/t5-v1_1-base-ko
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1 that trained on korean corpus
t5-v1_1-base-ko은 한국어 코퍼스에서 학습된 t5 v1.1 모델입니다.
OOV을 막기 위해 BBPE를 사용하였으며, HyperCLOVA에서 형태소 분석이 성능을 높히는데 도움이 되는 것을 보고... | [
-0.02898099645972252,
-0.037493277341127396,
-0.0003173439181409776,
0.02740992046892643,
0.026088373735547066,
0.017328830435872078,
-0.0031691393814980984,
0.010337213054299355,
-0.04644026607275009,
0.0299671720713377,
0.010786282829940319,
-0.0025841393508017063,
0.010611861012876034,
... |
Capreolus/birch-bert-large-mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
"architectures": [
"BertForNextSentencePrediction"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 1 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
-0.01840854622423649,
-0.002739659510552883,
-0.070090651512146,
0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
CarlosPR/mt5-spanish-memmories-analysis | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 7 | null | ---
language:
- th
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Tiny Thai
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | [
-0.046691522002220154,
-0.010961865074932575,
-0.007498456630855799,
0.04743011295795441,
0.03979238495230675,
0.010591745376586914,
-0.00039374257903546095,
0.006761799566447735,
-0.02140706032514572,
0.0613190233707428,
0.030609311535954475,
-0.03487883880734444,
0.027740664780139923,
0.... |
CarlosTron/Yo | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-05T15:39:07Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute anime faces.
## Usage... | [
-0.013026374392211437,
-0.02110593393445015,
0.01651320420205593,
0.03266575559973717,
0.025331418961286545,
0.024610767140984535,
0.011998381465673447,
-0.006745613645762205,
-0.0036546452902257442,
0.06304972618818283,
-0.0007911170832812786,
-0.00319773075170815,
0.03161509335041046,
0.... |
Carolhuehuehuehue/Sla | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tonality
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tonality
This model is a ... | [
-0.03814282640814781,
-0.0033306723926216364,
-0.02719005011022091,
0.05683818832039833,
0.0302006583660841,
0.0332389697432518,
-0.00964602455496788,
0.010803638957440853,
-0.03803199529647827,
0.05315897613763809,
0.04514124616980553,
-0.007287074811756611,
0.029412664473056793,
0.040359... |
CasualHomie/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6-finetuned-1.3.2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | [
-0.015280691906809807,
-0.016164159402251244,
-0.013655646704137325,
0.03610796853899956,
0.04884973540902138,
0.002523625735193491,
-0.02665065973997116,
-0.021073032170534134,
-0.05485107749700546,
0.06579112261533737,
0.0193602554500103,
-0.01684613712131977,
0.005334893707185984,
0.034... |
dccuchile/albert-large-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
-0.009880016557872295,
0.010731388814747334,
-0.0023245199117809534,
0.03013754077255726,
0.032692525535821915,
0.01637027971446514,
-0.024989159777760506,
-0.032281551510095596,
-0.04235885292291641,
0.049590565264225006,
0.021406710147857666,
-0.028522951528429985,
0.027736933901906013,
... |
dccuchile/albert-tiny-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-home-2-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | [
-0.022106030955910683,
-0.004368009511381388,
-0.004813164472579956,
0.0413760244846344,
0.0428057536482811,
0.02194095030426979,
-0.016023971140384674,
-0.03504657745361328,
-0.04410456493496895,
0.05748378112912178,
0.013840687461197376,
-0.02728569693863392,
0.008397987112402916,
0.0494... |
dccuchile/albert-xlarge-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 29 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: dung1308/RM_system_not_mixed__NLP_model_80_20_CPU
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dung... | [
-0.03359297662973404,
0.0010933211306110024,
0.008438847959041595,
0.014454903081059456,
0.022119326516985893,
-0.0032268348149955273,
-0.008378173224627972,
-0.02128433994948864,
-0.02643418312072754,
0.0532255694270134,
0.01991930417716503,
-0.03009425848722458,
0.02599070966243744,
0.03... |
dccuchile/albert-xxlarge-spanish-finetuned-mldoc | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 26 | null | These are a few mix models that I had created in my spare time, whatever I consider to be the primary model in the mix will have its name before the mixing method
Midnight Mixes are the latest Mixes, in theroy they should have a even spread of all modlels in the mix
Spiced models folow an idea to keep as mutch of one... | [
-0.03714301064610481,
-0.017562400549650192,
-0.010572000406682491,
0.030996227636933327,
0.05656683072447777,
0.02620156854391098,
0.03785828500986099,
-0.000718999479431659,
-0.01930716261267662,
0.06782745569944382,
0.06756424903869629,
-0.0038026811089366674,
0.01062962505966425,
0.021... |
dccuchile/albert-xxlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 28 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
-0.00796584039926529,
-0.039861295372247696,
-0.020935583859682083,
0.013672241009771824,
0.04076392576098442,
0.025072399526834488,
-0.009637163020670414,
-0.0012835279339924455,
-0.034742143005132675,
0.06589392572641373,
0.01830139383673668,
-0.014861584641039371,
0.017111042514443398,
... |
dccuchile/albert-xxlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
-0.00796584039926529,
-0.039861295372247696,
-0.020935583859682083,
0.013672241009771824,
0.04076392576098442,
0.025072399526834488,
-0.009637163020670414,
-0.0012835279339924455,
-0.034742143005132675,
0.06589392572641373,
0.01830139383673668,
-0.014861584641039371,
0.017111042514443398,
... |
dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 5 | null | digit fix is a merge block wieght
In01 and in02 are at 1
and all are at 0 | [
-0.056552089750766754,
0.0003427585179451853,
0.020151548087596893,
0.0234995000064373,
0.0038549581076949835,
0.014026809483766556,
-0.029756460338830948,
0.023279305547475815,
-0.01143031194806099,
0.047247305512428284,
0.02575709857046604,
-0.012668771669268608,
0.044397879391908646,
0.... |
dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03726382553577423,
-0.002297218656167388,
-0.0048940605483949184,
0.02551829069852829,
0.045832954347133636,
-0.02116762474179268,
-0.006123884581029415,
-0.02768474817276001,
-0.033175867050886154,
0.06685692071914673,
0.03202466294169426,
-0.0234787929803133,
0.02261696197092533,
0.00... |
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 24 | null | ---
tags:
- generated_from_trainer
model-index:
- name: simcse_finetuned_100k_64batch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# simcse_finetuned_100k_64b... | [
-0.034940268844366074,
-0.011013250797986984,
-0.0003988464886788279,
0.03300101310014725,
0.02893866039812565,
0.0216972716152668,
-0.021838491782546043,
-0.003894821275025606,
-0.040665484964847565,
0.05676444619894028,
0.040321655571460724,
-0.00522342324256897,
0.01743759959936142,
0.0... |
dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 27 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-home-16-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
-0.022722451016306877,
-0.004248263780027628,
-0.006868171971291304,
0.042657408863306046,
0.042664214968681335,
0.021548833698034286,
-0.016452673822641373,
-0.0345337837934494,
-0.04361199960112572,
0.0579666830599308,
0.013991856016218662,
-0.028111275285482407,
0.009092007763683796,
0.... |
dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 5 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### scottpilgrim Dreambooth model trained by spooncats with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Cola... | [
-0.03527260944247246,
-0.021373985335230827,
-0.030063016340136528,
0.0387798510491848,
0.024411756545305252,
0.02151406556367874,
-0.0007096781046129763,
-0.007551285438239574,
-0.013276408426463604,
0.02664053440093994,
0.038701288402080536,
0.010395687073469162,
-0.015705378726124763,
0... |
dccuchile/distilbert-base-spanish-uncased-finetuned-xnli | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 31 | null | ---
language:
- hi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Hi - Swedish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.03379633650183678,
-0.006176007445901632,
-0.015078592114150524,
0.049871016293764114,
0.049252044409513474,
0.010452331975102425,
-0.01465806644409895,
-0.007389155216515064,
-0.033069901168346405,
0.07771189510822296,
0.019946016371250153,
-0.034477416425943375,
-0.00324864499270916,
... |
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1 | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 1 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 7 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
CennetOguz/distilbert-base-uncased-finetuned-recipe | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 2 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
Certified-Zoomer/DialoGPT-small-rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
Chaddmckay/Cdm | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
Chae/botman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/pii-pile-chunk3-0-50000
- tomekkorbak/pii-pile-chunk3-50000-100000
- tomekkorbak/pii-pile-chunk3-100000-150000
- tomekkorbak/pii-pile-chunk3-150000-200000
- tomekkorbak/pii-pile-chunk3-200000-250000
- tomekkorbak/pii-pile-chunk3-2500... | [
-0.012019396759569645,
-0.029888276010751724,
-0.019505493342876434,
0.012672490440309048,
0.034471068531274796,
0.003476734273135662,
-0.0022804015316069126,
0.0005997114931233227,
-0.04758039116859436,
0.06919103860855103,
0.015308952890336514,
-0.022621946409344673,
0.011558068916201591,
... |
Chaima/TunBerto | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | This is an Embedding built for Stable Diffusion 2.0.
Trained on 41 Images of a vapourwave aesthetic
Training was done with the Automatic1111 WebUI
Batch Size 7
Gradient Accumulation Steps 6,
200 Steps (I will include previous step versions for you to try as well)
Phrase to invoke the Embedding is "VapWav".
Default G... | [
-0.019243860617280006,
-0.010587740689516068,
-0.019903311505913734,
0.05124061927199364,
0.034185025840997696,
-0.0027419482357800007,
0.035534463822841644,
0.029377050697803497,
-0.010068818926811218,
0.0548616424202919,
0.005520461592823267,
0.0010960185900330544,
-0.0001252047368325293,
... |
Chakita/KROBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 7 | null | ---
language:
- lt
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-lt-finetune
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
na... | [
-0.03268792852759361,
-0.004093660041689873,
-0.015028644353151321,
0.03878014534711838,
0.045581668615341187,
0.020933281630277634,
-0.014703522436320782,
-0.004512803163379431,
-0.02358236163854599,
0.06864189356565475,
0.03313811123371124,
-0.028956763446331024,
0.01220434159040451,
0.0... |
Chakita/Kalbert | [
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 5 | null | ---
language:
- en
- zh
- de
- es
- ru
- ko
- fr
- ja
- pt
- tr
- pl
- ca
- nl
- ar
- sv
- it
- id
- hi
- fi
- vi
- he
- uk
- el
- ms
- cs
- ro
- da
- hu
- ta
- no
- th
- ur
- hr
- bg
- lt
- la
- mi
- ml
- cy
- sk
- te
- fa
- lv
- bn
- sr
- az
- sl
- kn
- et
- mk
- br
- eu
- is
- hy
- ne
- mn
- bs
- kk
- sq
- sw
- gl
... | [
-0.014537357725203037,
-0.011693112552165985,
-0.01624595746397972,
0.06418155133724213,
0.030060255900025368,
0.020650090649724007,
-0.00891405250877142,
-0.019310299307107925,
-0.06548754870891571,
0.051504820585250854,
0.0034263115376234055,
-0.02589421719312668,
-0.0025258923415094614,
... |
Chakita/gpt2_mwp | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.020772671326994896,
-0.014514639973640442,
0.011221292428672314,
0.030159343034029007,
0.024438396096229553,
0.024673720821738243,
0.005329699721187353,
-0.00780766736716032,
-0.006376600358635187,
0.06375789642333984,
-0.0014994206139817834,
-0.015980927273631096,
0.02371574193239212,
... |
Chan/distilgpt2-finetuned-wikitext2 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | [
-0.016675466671586037,
0.012550625950098038,
-0.020585034042596817,
0.04353794455528259,
0.06922280043363571,
0.023167602717876434,
-0.029777638614177704,
-0.027556387707591057,
-0.04584139585494995,
0.059899020940065384,
0.03330843523144722,
-0.011373772285878658,
0.020886482670903206,
0.... |
ChaseBread/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | [
-0.016942471265792847,
0.01709963008761406,
-0.02249849960207939,
0.034558288753032684,
0.0429946593940258,
0.017360830679535866,
-0.019560111686587334,
-0.036332082003355026,
-0.05453238636255264,
0.06257873773574829,
0.02708994597196579,
-0.038455989211797714,
0.022390998899936676,
0.026... |
Cheapestmedsshop/Buymodafinilus | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: edgertej/poebert-clean-checkpoint-finetuned-poetry-foundation-clean
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it,... | [
0.002169596729800105,
-0.015722783282399178,
0.0043794517405331135,
0.015008928254246712,
0.024597352370619774,
-0.006475331727415323,
-0.00645212410017848,
-0.018072374165058136,
-0.05134342238306999,
0.063144251704216,
0.009197639301419258,
-0.010361719876527786,
0.018621306866407394,
0.... |
Cheatham/xlm-roberta-large-finetuned-d12 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 20 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
-0.022715406492352486,
-0.01213890966027975,
0.01201624609529972,
0.03128977492451668,
0.023377999663352966,
0.024449223652482033,
0.006182746030390263,
-0.007801051251590252,
-0.0055309925228357315,
0.061800580471754074,
-0.00040566822281107306,
-0.014706243760883808,
0.025058750063180923,
... |
Cheatham/xlm-roberta-large-finetuned-d1r01 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 21 | null | ---
tags:
- autotrain
- text-classification
language:
- pt
widget:
- text: ""
datasets:
- famube/autotrain-data-ciap
co2_eq_emissions:
emissions: 4.04378848235129
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2345673819
- CO2 Emissions (in grams): 4.0438
## Validation M... | [
-0.020398976281285286,
-0.030695108696818352,
0.0034440273884683847,
0.03073742240667343,
0.0382210947573185,
0.030401410534977913,
-0.034634411334991455,
-0.007937670685350895,
-0.03654548525810242,
0.08025390654802322,
0.014698462560772896,
0.01819082349538803,
-0.008018002845346928,
0.0... |
Cheatham/xlm-roberta-large-finetuned-r01 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 23 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/smithsonian_butterflies_subset
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this com... | [
-0.031060215085744858,
-0.01112013217061758,
-0.005899795796722174,
0.034776002168655396,
0.017590370029211044,
0.012526815757155418,
0.00976574793457985,
-0.005159132182598114,
-0.007756099570542574,
0.0554414838552475,
0.008570107631385326,
-0.02161794900894165,
0.006701388396322727,
0.0... |
CheonggyeMountain-Sherpa/kogpt-trinity-poem | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | 2022-12-05T20:03:22Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
... | [
-0.021001162007451057,
0.0015959279844537377,
-0.010564965195953846,
0.03396129608154297,
0.04204714670777321,
-0.011277632787823677,
-0.013845627196133137,
0.022463155910372734,
-0.003501662751659751,
0.06316767632961273,
0.011540312319993973,
-0.007323490455746651,
0.008743993937969208,
... |
Chertilasus/main | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc-by-sa-4.0
---
Hypernetwork trained on AnythingV3.
Keyword: `iwakuralain`
[](https://postimg.cc/VrwQK5P4) | [
-0.009162107482552528,
-0.030519632622599602,
-0.03728917986154556,
0.014806264080107212,
0.03537379205226898,
0.0005752448923885822,
0.0032735930290073156,
0.00319957104511559,
-0.015302025713026524,
0.04067660868167877,
0.023729320615530014,
0.01722284033894539,
0.004070706199854612,
0.0... |
Chester/traffic-rec | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.026803281158208847,
-0.024757415056228638,
-0.019329968839883804,
0.06068924814462662,
0.02978166751563549,
0.03257216513156891,
-0.017155703157186508,
0.008838499896228313,
-0.0637321025133133,
0.08069918304681778,
0.030539359897375107,
0.013200754299759865,
0.0071425591595470905,
0.03... |
Ching/negation_detector | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: 04_model_sales_external
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
-0.03334764763712883,
0.0034370725043118,
-0.0201007891446352,
0.028509071096777916,
0.04582890495657921,
0.025542836636304855,
-0.018966782838106155,
0.011854080483317375,
-0.03743786737322807,
0.06419262290000916,
0.03498973324894905,
-0.03152500465512276,
0.01862514577805996,
0.04101106... |
Chinmay/mlindia | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03746361285448074,
-0.002517399378120899,
-0.005236606579273939,
0.025471987202763557,
0.0456901378929615,
-0.021345272660255432,
-0.005470422562211752,
-0.02784353867173195,
-0.03291276469826698,
0.06640349328517914,
0.03247430920600891,
-0.02365228347480297,
0.022702911868691444,
0.00... |
Chiuchiyin/Donald | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-historic-multilingual-64k-td-cased-squad-nl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... | [
-0.03178023919463158,
-0.022998547181487083,
-0.03622890263795853,
0.05910075083374977,
0.026685606688261032,
0.025221694260835648,
-0.019194772467017174,
-0.013545846566557884,
-0.04713863134384155,
0.0513521172106266,
0.021969184279441833,
-0.037733469158411026,
0.017974860966205597,
0.0... |
ChoboAvenger/DialoGPT-small-joshua | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037079520523548126,
-0.002328859642148018,
-0.005111149046570063,
0.025585461407899857,
0.04561582952737808,
-0.021256690844893456,
-0.005949217360466719,
-0.027310799807310104,
-0.033646631985902786,
0.06642086058855057,
0.03207686170935631,
-0.023169290274381638,
0.023094888776540756,
... |
ChrisVCB/DialoGPT-medium-cmjs | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-sv-SE
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
-0.0437752939760685,
-0.0010979052167385817,
0.0037014943081885576,
0.039450760930776596,
0.03895413130521774,
0.009170038625597954,
-0.004500453360378742,
0.012219139374792576,
-0.03591907396912575,
0.07280171662569046,
0.02612614445388317,
-0.026760229840874672,
0.012651345692574978,
0.0... |
ChrisVCB/DialoGPT-medium-ej | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.026803281158208847,
-0.024757415056228638,
-0.019329968839883804,
0.06068924814462662,
0.02978166751563549,
0.03257216513156891,
-0.017155703157186508,
0.008838499896228313,
-0.0637321025133133,
0.08069918304681778,
0.030539359897375107,
0.013200754299759865,
0.0071425591595470905,
0.03... |
ChristianOrr/madnet_keras | [
"tensorboard",
"dataset:flyingthings-3d",
"dataset:kitti",
"arxiv:1810.05424",
"vision",
"deep-stereo",
"depth-estimation",
"Tensorflow2",
"Keras",
"license:apache-2.0"
] | depth-estimation | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: MacBERTh-squad-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MacBERTh-squad-en
This model is a fi... | [
-0.038048867136240005,
-0.026748845353722572,
-0.03594474121928215,
0.03917630761861801,
0.03995436057448387,
0.021250853314995766,
-0.052405811846256256,
0.011401437222957611,
-0.04235227033495903,
0.04160739481449127,
0.040155112743377686,
-0.008662484586238861,
0.01458782609552145,
0.04... |
Chun/w-en2zh-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1 | 2022-12-05T20:53:22Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: all-roberta-large-v1-home-1000-16-5-oos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | [
-0.018299492076039314,
-0.005299318116158247,
-0.0040481118485331535,
0.04152488335967064,
0.04256918653845787,
0.018886009231209755,
-0.016372837126255035,
-0.033274389803409576,
-0.041166819632053375,
0.055314913392066956,
0.009753202088177204,
-0.026272987946867943,
0.010851966217160225,
... |
Chun/w-en2zh-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | 2022-12-05T20:54:22Z | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-drone-real
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-dro... | [
-0.05995069444179535,
-0.008129844442009926,
-0.020191943272948265,
0.02441786415874958,
0.036119259893894196,
0.025640226900577545,
-0.019224021583795547,
0.002304034074768424,
-0.04337463527917862,
0.06353005021810532,
0.034525055438280106,
-0.009963423945009708,
0.0034950324334204197,
0... |
Chun/w-zh2en-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | Access to model Monkud/Hunigondi is restricted and you are not in the authorized list. Visit https://huggingface.co/Monkud/Hunigondi to ask for access. | [
-0.0426851287484169,
-0.014811823144555092,
-0.017441697418689728,
0.010046723298728466,
0.04646700993180275,
0.01079326681792736,
0.0007165162242017686,
-0.02033655159175396,
-0.04128770902752876,
0.04583783075213432,
0.04643309488892555,
-0.0014181806473061442,
0.016270829364657402,
0.06... |
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
language:
- hi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Small - Swedish
results: []
metrics:
- {wer}
---
<!-- This model card has been generated automatically according to the information the Trainer had... | [
-0.04373864084482193,
-0.004514411091804504,
-0.019056100398302078,
0.05296119675040245,
0.04862101748585701,
-0.00283978134393692,
-0.007117774337530136,
0.011659473180770874,
-0.035503774881362915,
0.07619927078485489,
0.033902641385793686,
-0.027691558003425598,
0.0018352885963395238,
0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.