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 |
|---|---|---|---|---|---|---|---|
Contrastive-Tension/BERT-Base-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"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... | 16 | null | ---
tags:
- generated_from_trainer
model-index:
- name: libri-alpha-0.25-Temp-1-att
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. -->
# libri-alpha-0.25-Temp-1-att... | [
-0.034128762781620026,
-0.012822720222175121,
-0.019832273945212364,
0.053157586604356766,
0.038125377148389816,
0.01047922670841217,
-0.013992123305797577,
-0.014511307701468468,
-0.05887468904256821,
0.058688461780548096,
0.027601080015301704,
-0.011535977944731712,
0.008043716661632061,
... |
Contrastive-Tension/BERT-Base-NLI-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"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... | 9 | 2023-01-11T08:44:36Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.049625150859355927,
0.006268911994993687,
-0.0069270990788936615,
0.05741117522120476,
0.028791114687919617,
0.031354039907455444,
-0.004808603785932064,
-0.034856341779232025,
-0.006847837939858437,
0.05285785719752312,
0.019018789753317833,
-0.01473104115575552,
0.006911463104188442,
... |
Contrastive-Tension/BERT-Base-Swe-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 126 | 2023-01-11T08:44:39Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-response-gen
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. -->
# t5... | [
-0.007335741072893143,
-0.01197726745158434,
-0.002240851055830717,
0.033221516758203506,
0.038626693189144135,
-0.0019193002954125404,
-0.03254449740052223,
-0.020895838737487793,
-0.03763134032487869,
0.036346685141325,
0.022213920950889587,
-0.031840045005083084,
-0.005516032688319683,
... |
Contrastive-Tension/BERT-Distil-CT-STSb | [
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"DistilBertModel"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 1 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.02903968095779419,
0.019012434408068657,
0.003308148356154561,
0.009511875919997692,
0.04356987401843071,
-0.020154548808932304,
-0.0210888534784317,
-0.01738276518881321,
-0.03089265711605549,
0.08414777368307114,
0.01818346418440342,
-0.009404866956174374,
0.017378278076648712,
0.0151... |
Contrastive-Tension/BERT-Distil-CT | [
"pytorch",
"tf",
"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... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofrea... | [
-0.02740909904241562,
-0.00621894421055913,
-0.01952914148569107,
0.042927466332912445,
0.04605355113744736,
0.017766961827874184,
-0.0383836068212986,
-0.008297711610794067,
-0.05608855187892914,
0.06441488116979599,
-0.0052228448912501335,
-0.0254571083933115,
0.020625298842787743,
0.040... |
Contrastive-Tension/BERT-Distil-NLI-CT | [
"pytorch",
"tf",
"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... | 6 | 2023-01-11T08:51:09Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: results3
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. -->
# results3
This model is a fine-tu... | [
-0.03265242278575897,
-0.016108836978673935,
-0.017139986157417297,
0.04512155428528786,
0.027617596089839935,
0.016737408936023712,
-0.03092893958091736,
-0.01284108404070139,
-0.03675065189599991,
0.0673200860619545,
0.031452544033527374,
-0.015532980673015118,
0.022723060101270676,
0.04... |
Contrastive-Tension/BERT-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 7 | 2023-01-11T08:55:31Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.039793796837329865,
-0.001611288171261549,
-0.007320445496588945,
0.04882150515913963,
0.02764083258807659,
0.02198738232254982,
-0.02510131523013115,
-0.03611895814538002,
-0.005478867795318365,
0.04874653369188309,
0.018596379086375237,
-0.008256489410996437,
0.0207651499658823,
0.030... |
Cooker/cicero-similis | [] | 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 | 2023-01-11T09:04:42Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-cartpole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: me... | [
-0.03236841410398483,
0.019752735272049904,
0.0030231415294110775,
0.005975658074021339,
0.04575309529900551,
-0.02138342522084713,
-0.022827131673693657,
-0.017917566001415253,
-0.03536611050367355,
0.08532331883907318,
0.021425792947411537,
-0.010961407795548439,
0.018458861857652664,
0.... |
Coolhand/Abuela | [
"en",
"image_restoration",
"superresolution",
"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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metrics:
... | [
-0.04273134842514992,
0.013444540090858936,
0.015082506462931633,
0.01977316290140152,
0.04921102523803711,
-0.013091729953885078,
-0.020349979400634766,
-0.029200466349720955,
-0.01636725291609764,
0.06539813429117203,
0.03716646507382393,
-0.006979839876294136,
0.008964022621512413,
-0.0... |
CouchCat/ma_sa_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"sentiment-analysis",
"license:mit"
] | 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,
... | 38 | 2023-01-11T09:30:49Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### xolovelyayanos Dreambooth model trained by Maharaghi 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 Co... | [
-0.028534473851323128,
-0.01155786495655775,
-0.02362305298447609,
0.03560081869363785,
0.027559615671634674,
0.014046276919543743,
0.006440830882638693,
0.0033997963182628155,
-0.015942173078656197,
0.03661660850048065,
0.03800549730658531,
0.0012898751301690936,
-0.025088708847761154,
0.... |
Coverage/sakurajimamai | [] | 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 | ---
tags:
- generated_from_trainer
datasets:
- custom_squad_v2
model-index:
- name: kobigbird-pure31-27981638
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. -->
# k... | [
-0.05174432322382927,
-0.013131881132721901,
-0.02308936044573784,
0.026151003316044807,
0.03275851532816887,
0.007999942637979984,
-0.01411127857863903,
-0.012210256420075893,
-0.0170565415173769,
0.03594199940562248,
0.016439614817500114,
-0.018991732969880104,
0.006585604511201382,
0.04... |
Coyotl/DialoGPT-test2-arthurmorgan | [
"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 | 2023-01-11T09:36:24Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
-0.021622145548462868,
-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
Craak/GJ0001 | [] | 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: text-generation
library_name: transformers
---
An AI clone of me :) | [
-0.022884512320160866,
0.012641055509448051,
-0.005225352942943573,
0.01743466779589653,
0.0571250393986702,
0.03800348937511444,
-0.018981557339429855,
0.010974142700433731,
-0.03105846233665943,
0.05312559753656387,
0.041729096323251724,
0.005246431101113558,
-0.010014321655035019,
0.051... |
CracklesCreeper/Piglin-Talks-Harry-Potter | [
"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... | 10 | 2023-01-11T09:38:37Z | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcopter-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metric... | [
-0.04221978411078453,
0.012730348855257034,
0.014857430942356586,
0.02019258588552475,
0.0488089956343174,
-0.01367374137043953,
-0.018986526876688004,
-0.027887756004929543,
-0.015895511955022812,
0.06534343212842941,
0.03593798726797104,
-0.005717000924050808,
0.007478949148207903,
-0.00... |
Craftified/Bob | [] | 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 | 2023-01-11T09:40:45Z | ---
language:
- zh
license: apache-2.0
tags:
- mt5-small
- text2text-generation
- natural language understanding
- conversational system
- task-oriented dialog
datasets:
- ConvLab/crosswoz
metrics:
- Dialog acts Accuracy
- Dialog acts F1
model-index:
- name: mt5-small-nlu-all-crosswoz
results:
- task:
type: ... | [
-0.028690354898571968,
-0.0069959708489477634,
-0.025606177747249603,
0.04174857586622238,
0.018693024292588234,
0.013721797615289688,
-0.02803412266075611,
-0.0242723748087883,
0.002839234657585621,
0.06798999756574631,
0.034857504069805145,
-0.02626825124025345,
0.01303645595908165,
0.05... |
Craig/mGqFiPhu | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | {
"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:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
-0.021622145548462868,
-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
Craig/paraphrase-MiniLM-L6-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 1,026 | 2023-01-11T09:44:45Z | ---
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_file: HME_pickle
widget:
structuredData:
anger:
- 0.13340177
- 0.26429585
- 0.75805366
disgust:
- 0.07661828
- 0.14570697
- 0.21044387
fear:
- 0.094705686
- 0.057977196
- 0.003... | [
-0.02042602188885212,
-0.012210540473461151,
-0.020573988556861877,
0.04374447464942932,
0.045652564615011215,
0.0319548062980175,
-0.01599292829632759,
0.0030158832669258118,
-0.052321795374155045,
0.06011272966861725,
0.020344387739896774,
-0.048668570816516876,
0.01822035200893879,
0.03... |
Crasher222/kaggle-comp-test | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Crasher222/autonlp-data-kaggle-test",
"transformers",
"autonlp",
"co2_eq_emissions"
] | 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... | 29 | null | ---
license: apache-2.0
language: fr
library_name: transformers
thumbnail: null
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
- facebook/multilingual_librispeech
- facebook/voxpopuli
- google/fleurs
- gigant/african_accented_french
metrics:
- ... | [
-0.007572202943265438,
-0.028183776885271072,
-0.024890828877687454,
0.029144050553441048,
0.0533369705080986,
0.010581876151263714,
-0.020389094948768616,
-0.01351113896816969,
-0.03711215406656265,
0.06130460649728775,
0.02935565449297428,
-0.02287423424422741,
0.007288340479135513,
0.01... |
CrayonShinchan/fine_tune_try_1 | [] | 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 | 2023-01-11T09:47:15Z | ---
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
... | [
-0.03726806864142418,
-0.002823012648150325,
-0.00491724070161581,
0.025871356949210167,
0.04558718577027321,
-0.02127542532980442,
-0.005598841700702906,
-0.028229089453816414,
-0.03338859975337982,
0.06643736362457275,
0.03257196396589279,
-0.023597151041030884,
0.02312966249883175,
0.00... |
CrisLeaf/generador-de-historias-de-tolkien | [
"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 | 2023-01-11T09:47:36Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.040373802185058594,
-0.002016240730881691,
-0.007491993252187967,
0.050280965864658356,
0.027514930814504623,
0.02277129888534546,
-0.025484999641776085,
-0.039430368691682816,
-0.0039140330627560616,
0.049221932888031006,
0.0183439739048481,
-0.009280585683882236,
0.02098258025944233,
... |
Crives/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | 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 | 2023-01-11T09:49:27Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: train
... | [
-0.026058118790388107,
-0.0032153239008039236,
0.006586355157196522,
0.019598715007305145,
0.02867300994694233,
0.02619035914540291,
-0.02432839386165142,
-0.011230822652578354,
-0.023699644953012466,
0.05015382915735245,
0.021521132439374924,
-0.04274734854698181,
0.009252239018678665,
0.... |
CrypticT1tan/DialoGPT-medium-harrypotter | [] | 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 | 2023-01-11T09:52:17Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
###
Sample pictures of:
sdcid (use that on your prompt)
![sdcid 1](https://huggingfa... | [
-0.022271253168582916,
-0.015479988418519497,
-0.024719536304473877,
0.039561595767736435,
0.0390840508043766,
0.013687985017895699,
-0.022524097934365273,
-0.02058136835694313,
-0.047361500561237335,
0.03605123236775398,
0.010414251126348972,
0.009652533568441868,
-0.01025058701634407,
0.... |
Cthyllax/DialoGPT-medium-PaladinDanse | [
"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... | 10 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcopter-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metric... | [
-0.043288279324769974,
0.012934616766870022,
0.01298430748283863,
0.019749296829104424,
0.049193378537893295,
-0.012435434386134148,
-0.01933918334543705,
-0.028708647936582565,
-0.016751408576965332,
0.06596063822507858,
0.03704620152711868,
-0.008047734387218952,
0.007997862063348293,
-0... |
Culmenus/opus-mt-de-is-finetuned-de-to-is | [
"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 | 2023-01-11T10:00:23Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: t5-small-finetuned-eng-book-review
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | [
-0.014390517957508564,
-0.0023900442756712437,
0.014070508070290089,
0.03159225732088089,
0.02307460643351078,
0.0008513465872965753,
-0.030129946768283844,
-0.01145000196993351,
-0.052089184522628784,
0.05335666611790657,
0.052090734243392944,
-0.004613252356648445,
0.0036823719274252653,
... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_ancc | [] | 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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcopter-v4
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metric... | [
-0.04316421225667,
0.015217622742056847,
0.014256290160119534,
0.019564665853977203,
0.04794084280729294,
-0.012511131353676319,
-0.01944507472217083,
-0.029093971475958824,
-0.0170587208122015,
0.06608784198760986,
0.03595467656850815,
-0.007852318696677685,
0.009883238933980465,
-0.00605... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_ekkicc | [] | 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 | 2023-01-11T10:23:21Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
-0.021622145548462868,
-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2-finetuned-de-to-is_nr2 | [] | 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
datasets:
- code_search_net
- neulab/conala
language:
- en
library_name: transformers
pipeline_tag: text2text-generation
---
# T5 Code Summary
T5 Code Summary is a code model which takes python code as an input and summarizes it. | [
-0.01279533002525568,
-0.016820814460515976,
0.021654168143868446,
-0.007779689505696297,
0.0460510216653347,
0.009368212893605232,
-0.03824691101908684,
0.0014413913013413548,
-0.009374380111694336,
0.0351339727640152,
0.05137048661708832,
0.02956566773355007,
0.00528581440448761,
0.04283... |
CurtisBowser/DialoGPT-medium-sora-two | [
"pytorch",
"conversational"
] | conversational | {
"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:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-... | [
-0.04113547503948212,
0.015551905147731304,
0.014512539841234684,
0.017824552953243256,
0.049968134611845016,
-0.013009783811867237,
-0.020449304953217506,
-0.022540859878063202,
-0.018456632271409035,
0.06751583516597748,
0.03464401885867119,
-0.0074429018422961235,
0.010747951455414295,
... |
CurtisBowser/DialoGPT-medium-sora | [
"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 | 2023-01-11T10:36:11Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03295570984482765,
-0.0025444035418331623,
-0.01954880729317665,
0.05145587772130966,
0.03939267247915268,
0.025993138551712036,
-0.003200624603778124,
-0.03652322292327881,
-0.02827797271311283,
0.046648912131786346,
0.024588806554675102,
-0.0038787934463471174,
0.02160516567528248,
0.... |
CyberMuffin/DialoGPT-small-ChandlerBot | [
"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 | 2023-01-11T10:47:12Z | ---
language: en
thumbnail: http://www.huggingtweets.com/redtube/1673434106195/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: ... | [
0.006117986049503088,
-0.03808610886335373,
-0.00004006236486020498,
0.054551202803850174,
0.04872956871986389,
0.01332919206470251,
-0.017812540754675865,
-0.012251768261194229,
-0.046690016984939575,
0.03504510223865509,
0.00885611679404974,
-0.0030653076246380806,
-0.015925278887152672,
... |
Cyrell/Cyrell | [] | 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 | ---
tags:
- generated_from_trainer
model-index:
- name: out
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. -->
# out
This model is a fine-tuned version of [hugging... | [
-0.0321439653635025,
-0.005309034138917923,
0.0025489700492471457,
0.03334049880504608,
0.023665739223361015,
0.01691344939172268,
-0.018447937443852425,
-0.013259749859571457,
-0.037127964198589325,
0.05736597627401352,
0.02438467927277088,
-0.01758476346731186,
0.004166602157056332,
0.05... |
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave | [] | 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... | 11 | null | ---
license: apache-2.0
---
Trained on MS COCO dataset.
This model is used to classify objects in images.
Training dataset: COCO 2017
Training classes: 80 | [
-0.03494154289364815,
-0.01837751641869545,
-0.008529995568096638,
0.020090917125344276,
0.06920592486858368,
-0.0006971271359361708,
-0.003875385969877243,
0.0314350426197052,
-0.0017347626853734255,
0.04214588552713394,
0.03218222036957741,
0.020958907902240753,
0.0179734006524086,
0.042... |
D3vil/DialoGPT-smaall-harrypottery | [] | 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 |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03201685845851898,
-0.00248533277772367,
-0.018062498420476913,
0.050913549959659576,
0.03861701115965843,
0.025450032204389572,
-0.00018112781981471926,
-0.036790695041418076,
-0.028438571840524673,
0.04561677575111389,
0.021714743226766586,
-0.004586344584822655,
0.02109062485396862,
... |
D3xter1922/distilbert-base-uncased-finetuned-cola | [] | 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 |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.031409263610839844,
-0.0008566239848732948,
-0.020962096750736237,
0.0505116805434227,
0.040697671473026276,
0.026926860213279724,
-0.001374199753627181,
-0.03588338568806648,
-0.028269099071621895,
0.0484682060778141,
0.02399429865181446,
-0.005441585555672646,
0.0204709991812706,
0.02... |
D4RL1NG/yes | [] | 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 | 2023-01-11T11:14:47Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.053631145507097244,
0.005324812605977058,
-0.005123133771121502,
0.05755132809281349,
0.024953827261924744,
0.02929418347775936,
-0.006806447636336088,
-0.03075251542031765,
-0.00525275943800807,
0.048016637563705444,
0.017558690160512924,
-0.011682773008942604,
0.009093127213418484,
0.... |
DHBaek/gpt2-stackoverflow-question-contents-generator | [
"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... | 14 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
-0.017459912225604057,
-0.017306407913565636,
-0.005000179633498192,
0.029718320816755295,
0.05096833407878876,
-0.0194795373827219,
-0.011328401044011116,
-0.009740251116454601,
-0.057933561503887177,
0.053837850689888,
-0.002571951597929001,
-0.00877136830240488,
0.02454308606684208,
0.0... |
DJStomp/TestingSalvoNET | [
"transformers"
] | 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... | 1 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03190772607922554,
-0.002120568649843335,
-0.02038821019232273,
0.05081024020910263,
0.03989332169294357,
0.025579484179615974,
-0.0019462534692138433,
-0.03666127473115921,
-0.02798314020037651,
0.04849265515804291,
0.023636624217033386,
-0.005066008772701025,
0.02071293257176876,
0.02... |
DKpro000/DialoGPT-small-harrypotter | [] | 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 | 2023-01-11T11:41:44Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: valence-english-distilroberta-base
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. -->
# ... | [
-0.031995199620723724,
0.005757772363722324,
0.008166439831256866,
0.03138396516442299,
0.03931739926338196,
0.033966727554798126,
0.004878617357462645,
-0.013181112706661224,
-0.06233557313680649,
0.04746280610561371,
0.011403322219848633,
-0.032118652015924454,
0.007590827997773886,
0.04... |
DSI/TweetBasedSA | [
"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... | 29 | 2023-01-11T11:42:55Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.05269195884466171,
0.005575872492045164,
-0.00529884360730648,
0.057327549904584885,
0.025625642389059067,
0.02893446385860443,
-0.0031817425042390823,
-0.027823135256767273,
-0.0062020318582654,
0.04734725505113602,
0.016962673515081406,
-0.012821339070796967,
0.006737041287124157,
0.0... |
DTAI-KULeuven/mbert-corona-tweets-belgium-topics | [
"pytorch",
"jax",
"bert",
"text-classification",
"multilingual",
"nl",
"fr",
"en",
"arxiv:2104.09947",
"transformers",
"Dutch",
"French",
"English",
"Tweets",
"Topic classification"
] | 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... | 167 | 2023-01-11T11:53:56Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
-0.014752903953194618,
-0.018054520711302757,
-0.007429073099046946,
0.03074921853840351,
0.05224088206887245,
-0.016181310638785362,
-0.011614132672548294,
-0.008444276638329029,
-0.05877077952027321,
0.05557873845100403,
-0.001116474624723196,
-0.0098434342071414,
0.024164114147424698,
0... |
DTAI-KULeuven/robbertje-1-gb-bort | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | 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... | 6 | 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
... | [
-0.037253499031066895,
-0.002376700984314084,
-0.004918248858302832,
0.025956962257623672,
0.04529360309243202,
-0.02126443386077881,
-0.005200047977268696,
-0.02808469533920288,
-0.033233631402254105,
0.06647124141454697,
0.03280162066221237,
-0.02355353534221649,
0.02279048040509224,
0.0... |
DTAI-KULeuven/robbertje-1-gb-merged | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | 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... | 1 | 2023-01-11T11:57:15Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### TarikHaboob Dreambooth model trained by TarikHaboob 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 Col... | [
-0.019598929211497307,
-0.007604317273944616,
-0.032621853053569794,
0.04476260766386986,
0.03243565186858177,
0.008365441113710403,
0.006101424340158701,
0.009317563846707344,
-0.015310103073716164,
0.036483753472566605,
0.04007602110505104,
0.005078965798020363,
-0.02273397333920002,
0.0... |
DTAI-KULeuven/robbertje-1-gb-non-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"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... | 53 | 2023-01-11T11:57:30Z | ---
tags:
- generated_from_trainer
model-index:
- name: libri-alpha-0.5-Temp-1-att
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. -->
# libri-alpha-0.5-Temp-1-att
... | [
-0.03356233611702919,
-0.011848845519125462,
-0.019338637590408325,
0.054492782801389694,
0.038197923451662064,
0.009489249438047409,
-0.014937874861061573,
-0.016578780487179756,
-0.0590653233230114,
0.05767052620649338,
0.02784557081758976,
-0.012501498684287071,
0.0070514860562980175,
0... |
DTAI-KULeuven/robbertje-1-gb-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | 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 | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.46 +/- 2.75
... | [
-0.016372038051486015,
-0.015523228794336319,
-0.007802160922437906,
0.026293806731700897,
0.04675763472914696,
0.001556467730551958,
-0.018807318061590195,
0.007768827490508556,
-0.036705754697322845,
0.05695255845785141,
0.01955389231443405,
-0.0075340610928833485,
0.012148686684668064,
... |
alexandrainst/da-hatespeech-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | 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... | 866 | 2023-01-11T12:08:47Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.050428152084350586,
0.008014337159693241,
-0.008908565156161785,
0.05860533192753792,
0.027993425726890564,
0.03125699609518051,
-0.004566119518131018,
-0.03446677327156067,
-0.004085777793079615,
0.05246282368898392,
0.018572397530078888,
-0.013663604855537415,
0.008890134282410145,
0.... |
alexandrainst/da-hatespeech-detection-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | 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... | 1,719 | 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
... | [
-0.04062086343765259,
-0.015745731070637703,
-0.015866782516241074,
0.036542173475027084,
0.04852522909641266,
-0.005079061258584261,
-0.013988141901791096,
-0.025922268629074097,
-0.030555101111531258,
0.0541563555598259,
0.022199612110853195,
-0.03192761167883873,
0.017522739246487617,
0... |
alexandrainst/da-subjectivivity-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"dataset:DDSC/twitter-sent",
"dataset:DDSC/europarl",
"transformers",
"license:cc-by-sa-4.0"
] | 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... | 846 | 2023-01-11T12:13:33Z | ---
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
... | [
-0.039643414318561554,
-0.016591178253293037,
-0.01548147201538086,
0.036677926778793335,
0.049040306359529495,
-0.005243437364697456,
-0.014130538329482079,
-0.025055265054106712,
-0.030809452757239342,
0.05418789014220238,
0.022501790896058083,
-0.0326315201818943,
0.01886633038520813,
0... |
DaWang/demo | [] | 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
pipeline_tag: fill-mask
--- | [
-0.022289562970399857,
0.0038876293692737818,
0.03295997902750969,
0.0024805713910609484,
0.06252150237560272,
0.000891730422154069,
-0.006605576723814011,
0.05185228958725929,
-0.013324588537216187,
0.0715041384100914,
0.007115321233868599,
-0.0017951913177967072,
0.038089536130428314,
0.... |
DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | [
"pytorch",
"tensorboard",
"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... | 7 | 2023-01-11T12:29:57Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
-0.016701409593224525,
-0.015181479975581169,
-0.006839776411652565,
0.030973639339208603,
0.0529622882604599,
-0.015389685519039631,
-0.011028598994016647,
-0.01001023966819048,
-0.05544545501470566,
0.05403028428554535,
-0.0006832776707597077,
-0.008981579914689064,
0.02492743730545044,
... |
Daivakai/DialoGPT-small-saitama | [
"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 | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
-0.021622145548462868,
-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
DamolaMack/Classyfied | [] | 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
datasets:
- indonlu
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: indobert-finetuned-pos
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: indonlu
type: indonlu
config: posp
... | [
-0.0007823498453944921,
-0.0003268037980888039,
-0.013966532424092293,
0.0014451311435550451,
0.026459433138370514,
0.005869861226528883,
-0.020121609792113304,
-0.012091422453522682,
-0.025545740500092506,
0.059834640473127365,
0.03661449998617172,
-0.04213244095444679,
0.018470317125320435... |
Darkrider/covidbert_mednli | [
"transformers"
] | 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... | 3 | 2023-01-11T13:16:15Z | ---
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
... | [
-0.03748182952404022,
-0.0027203308418393135,
-0.0051652491092681885,
0.025931164622306824,
0.04559123143553734,
-0.021521665155887604,
-0.005139518063515425,
-0.02757694572210312,
-0.033300336450338364,
0.06611207127571106,
0.03238080441951752,
-0.02318223938345909,
0.023158416152000427,
... |
DavidAMcIntosh/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 | 2023-01-11T13:43:15Z | ---
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
... | [
-0.03778750076889992,
-0.0029540499672293663,
-0.004526091273874044,
0.025656552985310555,
0.045032888650894165,
-0.02150188572704792,
-0.005437931511551142,
-0.027715541422367096,
-0.03340267390012741,
0.06643413752317429,
0.03194737806916237,
-0.02345138229429722,
0.022778471931815147,
0... |
Declan/ChicagoTribune_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: DAVIDNAI-T5-HUG-93520798
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. -->
# DAVIDNAI-... | [
-0.025770867243409157,
-0.015001301653683186,
0.0278460755944252,
0.019359568133950233,
0.03169768303632736,
-0.005394085310399532,
-0.027631280943751335,
-0.014105808921158314,
-0.026349153369665146,
0.04401572421193123,
0.004197980742901564,
-0.0167827345430851,
0.011657297611236572,
0.0... |
Declan/FoxNews_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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... | 3 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.051138538867235184,
0.007577094715088606,
-0.007496376521885395,
0.059019267559051514,
0.027829796075820923,
0.031419191509485245,
-0.004031231626868248,
-0.035087380558252335,
-0.004400031641125679,
0.05244120955467224,
0.01841232180595398,
-0.013830634765326977,
0.008483849465847015,
... |
Declan/HuffPost_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: switch-base-16-finetuned-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum... | [
-0.031077448278665543,
-0.0007830600370652974,
-0.00978409219533205,
0.05583995208144188,
0.04823152348399162,
0.020753588527441025,
-0.013748560100793839,
-0.020535442978143692,
-0.03445868939161301,
0.05984092131257057,
0.04231869801878929,
-0.02413434162735939,
0.013849345967173576,
0.0... |
Declan/NPR_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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 | ---
tags:
- roberta
- adapter-transformers
datasets:
- glue
---
# Adapter `WillHeld/pfadapter-roberta-base-tada` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [glue](https://huggingface.co/datasets/glue/) dataset.
This adapter was created for usage with the... | [
-0.049677520990371704,
-0.011708445847034454,
0.0022555182222276926,
0.035361647605895996,
0.032452162355184555,
0.042277853935956955,
-0.027491562068462372,
-0.01377799641340971,
-0.05006590113043785,
0.06632484495639801,
0.005529644899070263,
-0.01165520679205656,
0.00039929425111040473,
... |
Declan/WallStreetJournal_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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... | 3 | null | ---
tags:
- Venture-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Venture-v5
type: Venture-v5
metrics:
- ty... | [
-0.02248276397585869,
-0.027759620919823647,
-0.011245742440223694,
0.023650556802749634,
0.04524948075413704,
-0.00457316217944026,
-0.012432707473635674,
-0.021675556898117065,
-0.008226167410612106,
0.05857662856578827,
0.029626991599798203,
-0.006020230706781149,
-0.014300499111413956,
... |
Declan/WallStreetJournal_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"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... | 9 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-news-summary-generation-2
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. -->
# t5-base-news-summary... | [
-0.04107992723584175,
-0.02278708480298519,
-0.0026601694989949465,
0.023929541930556297,
0.03283744677901268,
0.022774823009967804,
-0.009456776082515717,
-0.011935696937143803,
-0.03207715228199959,
0.042317621409893036,
0.03175150975584984,
-0.008018865250051022,
0.00287392339669168,
0.... |
DeepPavlov/bert-base-bg-cs-pl-ru-cased | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"bg",
"cs",
"pl",
"ru",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 1,614 | null | ---
license: osl-3.0
language:
- en
tags:
- conversational
---
# DialoGPT but Peppa Pig (GPTPP)
First version of GPTPP (GPT Peppa Pig) | [
-0.040104400366544724,
0.014418519102036953,
-0.005389083176851273,
0.013582670129835606,
0.039739400148391724,
0.00807224027812481,
0.025347335264086723,
0.020963283255696297,
-0.016645342111587524,
0.027659941464662552,
0.017180217429995537,
-0.024890698492527008,
0.02349809743463993,
0.... |
DeepPavlov/bert-base-cased-conversational | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"en",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 3,009 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ppeeddrriittoo Dreambooth model trained by sasa30 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 Colab... | [
-0.0284799262881279,
-0.014231695793569088,
-0.029627110809087753,
0.031897321343421936,
0.03289506211876869,
0.009856373071670532,
0.011461520567536354,
-0.0003153070865664631,
-0.018166368827223778,
0.03824545070528984,
0.03824244812130928,
0.009370595216751099,
-0.028171615675091743,
0.... |
DeepPavlov/distilrubert-base-cased-conversational | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
"architectures": null,
"model_type": "distilbert",
"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,
"n... | 6,324 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.03998708352446556,
-0.00020314088033046573,
-0.0069565000012516975,
0.047723714262247086,
0.027456698939204216,
0.022736461833119392,
-0.025564346462488174,
-0.03719863295555115,
-0.00568561814725399,
0.04997340589761734,
0.01940954476594925,
-0.010917953215539455,
0.023167148232460022,
... |
DeepPavlov/distilrubert-tiny-cased-conversational-v1 | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
"architectures": null,
"model_type": "distilbert",
"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,
"n... | 9,141 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-ft-cy
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. -->
# ... | [
-0.03895401954650879,
-0.005349192768335342,
0.0072162155993282795,
0.03819139674305916,
0.03729822486639023,
0.015357387252151966,
0.0017113281646743417,
0.0071053290739655495,
-0.02660098299384117,
0.06620697677135468,
0.030497293919324875,
-0.026506824418902397,
0.010727839544415474,
0.... |
DeepPavlov/xlm-roberta-large-en-ru-mnli | [
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | 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,
... | 227 | null | ---
tags:
- espnet
- audio
- speech-recognition
- openai-whisper
language: en
datasets:
- chime4
license: cc-by-4.0
---
## ESPnet2 ASR model
### `espnet/shihlun_asr_whisper_medium_finetuned_chime4`
This model was trained by Shih-Lun Wu (slseanwu) using the chime4 recipe in [espnet](https://github.com/espnet/espnet/).... | [
-0.04861653596162796,
0.0004759316798299551,
-0.02407815121114254,
0.033536165952682495,
0.05605095252394676,
0.012081234715878963,
-0.014564226381480694,
0.006287789437919855,
-0.05727674439549446,
0.06569875031709671,
0.016077939420938492,
0.008770003914833069,
0.006551854778081179,
0.00... |
DeskDown/MarianMixFT_en-my | [
"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... | 7 | null | ---
language: cs
widget:
- text: Univerzita je základem
license: mit
datasets:
- oscar
---
# Czech GPT-2 small model trained on the OSCAR dataset
This model was trained as a part of the [master thesis](https://dspace.cuni.cz/handle/20.500.11956/176356?locale-attribute=en) on the Czech part of the [OSCAR](https://... | [
-0.009851825423538685,
-0.014068459160625935,
0.016687283292412758,
0.04773514345288277,
0.046151358634233475,
0.0022197456564754248,
-0.024272793903946877,
0.008057215251028538,
-0.030501656234264374,
0.06645312905311584,
0.018590042367577553,
-0.017160214483737946,
0.003181103616952896,
... |
DewiBrynJones/wav2vec2-large-xlsr-welsh | [
"cy",
"dataset:common_voice",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"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:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: reinforce-Cartpole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.032689422369003296,
0.017849409952759743,
0.0031307677272707224,
0.00941608939319849,
0.04552659019827843,
-0.019735507667064667,
-0.025936448946595192,
-0.020362170413136482,
-0.03329182788729668,
0.0849170982837677,
0.017187612131237984,
-0.01284042652696371,
0.013430883176624775,
0.0... |
Digakive/Hsgshs | [] | 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: openrail
---
import openai
# First, set your API key
openai.api_key = "YOUR_API_KEY"
# Next, define the prompt
prompt = 'create a workout plan for someone who wants to lose weight'
# Then, send the request to the GPT-3 API
response = openai.Completion.create(engine="text-davinci-002",
... | [
-0.017012501135468483,
-0.023815365508198738,
-0.007015784736722708,
0.015950120985507965,
0.05702345073223114,
0.008159590885043144,
-0.009606081992387772,
0.011826892383396626,
-0.02986237034201622,
0.04400082305073738,
0.021575581282377243,
0.02979440987110138,
-0.0032287095673382282,
0... |
Dilmk2/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... | 13 | null | ---
language:
- en
---
"Summarize: [paper]", produces a machine-written abstraction. Proof-of-concept dummy model for my SwitchTransformer finetuning code. Finetuned from Google's [google/switch-base-8](https://huggingface.co/google/switch-base-8)
Low-quality results, should not be used in a productin setting. This is... | [
-0.07958994805812836,
0.0038663081359118223,
0.010418279096484184,
0.0031498484313488007,
0.04094573110342026,
0.016957543790340424,
-0.0076328967697918415,
0.018102025613188744,
-0.053710274398326874,
0.043539103120565414,
0.03826891630887985,
0.0025518981274217367,
0.0059980847872793674,
... |
DimaOrekhov/cubert-method-name | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 10 | null | ---
language:
- de
license: apache-2.0
tags:
- sbb-asr
- generated_from_trainer
datasets:
- marccgrau/sbbdata_allSNR
metrics:
- wer
model-index:
- name: Whisper Small German SBB all SNR - v2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: S... | [
-0.027232859283685684,
0.00183112861122936,
-0.022061599418520927,
0.053609754890203476,
0.04010108485817909,
0.0322917178273201,
-0.016359172761440277,
0.009574580006301403,
-0.03266217187047005,
0.07727719843387604,
0.02651241235435009,
-0.029790958389639854,
-0.0004930270952172577,
0.03... |
Dimedrolza/DialoGPT-small-cyberpunk | [
"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: mit
datasets:
- AhmedSSoliman/DJANGO
language:
- en
metrics:
- bleu
- accuracy
pipeline_tag: translation
tags:
- Code Generation
- Machine translation
- Text generation
--- | [
-0.019087154418230057,
-0.004048410337418318,
0.00023475324269384146,
0.01593226194381714,
0.0568012110888958,
0.02003621682524681,
-0.0040390221402049065,
0.00980437733232975,
-0.04230916500091553,
0.06747042387723923,
0.040775805711746216,
-0.0010310013312846422,
0.008252185769379139,
0.... |
albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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_... | 38,156 | 2023-01-11T22:15:56Z | ---
license: mit
datasets:
- AhmedSSoliman/DJANGO
language:
- en
metrics:
- bleu
- accuracy
pipeline_tag: translation
tags:
- Machine Translation
- Code Generation
- Text Generation
--- | [
-0.023583002388477325,
-0.005911824759095907,
-0.0004486296384129673,
0.014455439522862434,
0.05596857890486717,
0.018753452226519585,
-0.004628267604857683,
0.011157574132084846,
-0.04584413394331932,
0.06604786962270737,
0.03802615776658058,
-0.002703720238059759,
0.010822215117514133,
0... |
albert-xxlarge-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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_... | 42,640 | 2023-01-11T22:18:29Z | ---
license: mit
datasets:
- AhmedSSoliman/DJANGO
language:
- en
metrics:
- bleu
- accuracy
pipeline_tag: translation
tags:
- 'Machine Translation '
- Code Generation
- Text Generation
--- | [
-0.025428779423236847,
-0.005475516896694899,
-0.000726767466403544,
0.020359165966510773,
0.05792483687400818,
0.02418339066207409,
-0.002307254122570157,
0.006624845787882805,
-0.040919773280620575,
0.07095745950937271,
0.03812607750296593,
0.001655254396609962,
0.007318415213376284,
0.0... |
bert-large-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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... | 388,769 | null | Access to model 3mmaw/chat-app is restricted and you are not in the authorized list. Visit https://huggingface.co/3mmaw/chat-app to ask for access. | [
-0.06399264931678772,
-0.003379350295290351,
-0.016389839351177216,
0.021158389747142792,
0.03446885198354721,
0.008237519301474094,
-0.018579168245196342,
-0.00290875555947423,
-0.022369101643562317,
0.03954485431313515,
0.07158465683460236,
-0.00009374896762892604,
0.011858813464641571,
... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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... | 480,510 | 2023-01-11T22:30:35Z | ---
license: apache-2.0
datasets:
- gcaillaut/cora
metrics:
- mse
- accuracy
--- | [
-0.02006019838154316,
-0.0009338954696431756,
0.007142158225178719,
0.0004888793337158859,
0.05032440274953842,
-0.007547088898718357,
-0.00020693604892585427,
0.03783631697297096,
-0.03517131134867668,
0.04622186720371246,
0.031076272949576378,
0.0006048493669368327,
0.03765442222356796,
... |
bert-large-uncased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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... | 76,685 | 2023-01-11T22:35:12Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for convnext_tiny.in12k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
ImageNet-12k training done on TPUs than... | [
-0.014972873963415623,
-0.030731316655874252,
-0.0019099412020295858,
0.04430534318089485,
0.03874226287007332,
-0.008800039067864418,
-0.011985649354755878,
-0.0014397689374163747,
-0.007052103988826275,
0.04865635931491852,
0.018597299233078957,
-0.000724193116184324,
-0.007522699888795614... |
bert-large-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | 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... | 1,058,496 | 2023-01-11T22:35:26Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for convnext_tiny.in12k_ft_in1k
A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k by ... | [
-0.014787117950618267,
-0.03153091296553612,
-0.007950113154947758,
0.04348481819033623,
0.03749304637312889,
-0.012754948809742928,
-0.004889090545475483,
-0.0036239326000213623,
-0.013350275345146656,
0.050577666610479355,
0.023884043097496033,
0.006837967783212662,
-0.007377045229077339,
... |
camembert-base | [
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_... | 1,440,898 | 2023-01-11T22:35:40Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for convnext_small.in12k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
ImageNet-12k training done on TPUs tha... | [
-0.014492101036012173,
-0.03204986825585365,
-0.001006848644465208,
0.04372033476829529,
0.03831890970468521,
-0.010024276562035084,
-0.012894813902676105,
0.00013848427624907345,
-0.006974013522267342,
0.04886401817202568,
0.021732272580266,
-0.0008909587049856782,
-0.009855114854872227,
... |
distilbert-base-cased-distilled-squad | [
"pytorch",
"tf",
"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | 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,
... | 257,745 | 2023-01-11T22:40:57Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... | [
-0.0239535104483366,
-0.003927452489733696,
0.006493500433862209,
0.02077619545161724,
0.02979096956551075,
0.02627507969737053,
-0.02391483262181282,
-0.00992971658706665,
-0.02436017617583275,
0.049335330724716187,
0.022432373836636543,
-0.04557077959179878,
0.009758559986948967,
0.04000... |
distilbert-base-uncased-finetuned-sst-2-english | [
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"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,
... | 3,060,704 | 2023-01-11T23:00:53Z | ---
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
# Model Details
## Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Nee... | [
-0.03836502134799957,
-0.017924683168530464,
-0.012944402173161507,
0.027700627222657204,
0.04290401190519333,
0.04698826000094414,
-0.0026491472963243723,
-0.014045795425772667,
-0.031163036823272705,
0.05485643446445465,
0.044943857938051224,
0.0004156185023020953,
0.01926887407898903,
0... |
AdapterHub/bert-base-uncased-pf-emo | [
"bert",
"en",
"dataset:emo",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification"
] | text-classification | {
"architectures": null,
"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": null,
"num_bea... | 5 | null | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: spanbert-large-squad
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. -->
# spanbert-large-s... | [
-0.029466673731803894,
-0.010142077691853046,
-0.030066514387726784,
0.07366540282964706,
0.053544383496046066,
0.0058143250644207,
-0.029333772137761116,
0.0009589723777025938,
-0.02059190534055233,
0.04216758534312248,
0.03728003427386284,
-0.01600939966738224,
0.016167381778359413,
0.05... |
Adharsh2608/DialoGPT-small-harrypotter | [] | 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 | ---
tags:
- YarsRevenge-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: YarsRevenge-v5
type: YarsRevenge-v5
metri... | [
-0.024260664358735085,
-0.0037193847820162773,
-0.012021270580589771,
0.03599093481898308,
0.04486294090747833,
0.007354484871029854,
-0.0021499760914593935,
-0.03681565076112747,
-0.011996039189398289,
0.05789870396256447,
0.029606575146317482,
-0.025085970759391785,
0.0008322718786075711,
... |
Ahmedahmed/Wewe | [] | 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 | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-5
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 commen... | [
-0.020425884053111076,
-0.003864121390506625,
-0.00518756965175271,
0.03798943758010864,
0.035183362662792206,
0.0018215194577351213,
-0.03319644555449486,
0.0014860067749395967,
-0.040551330894231796,
0.07912029325962067,
0.019821476191282272,
-0.030222825706005096,
-0.0020099999383091927,
... |
Aidan8756/stephenKingModel | [] | 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 | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-cartpole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: me... | [
-0.03226838633418083,
0.018860334530472755,
0.003434930695220828,
0.006533842999488115,
0.04690173268318176,
-0.020610230043530464,
-0.022765951231122017,
-0.017059817910194397,
-0.034357860684394836,
0.08565781265497208,
0.02120278775691986,
-0.010630502365529537,
0.017894277349114418,
0.... |
Ajaykannan6/autonlp-manthan-16122692 | [
"pytorch",
"bart",
"text2text-generation",
"unk",
"dataset:Ajaykannan6/autonlp-data-manthan",
"transformers",
"autonlp",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"BartForConditionalGeneration"
],
"model_type": "bart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 142,
"min_length": 56,
"no_repeat_ngr... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- wer
model-index:
- name: my_asr_model_2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: minds14
type: minds14
config: en-US
split: train... | [
-0.036820314824581146,
-0.007365684490650892,
-0.027295060455799103,
0.04695998132228851,
0.037184637039899826,
0.040865521878004074,
-0.020937347784638405,
-0.002076160628348589,
-0.025111855939030647,
0.06149782985448837,
0.025866933166980743,
-0.022263197228312492,
0.0015434729866683483,
... |
Akash7897/fill_mask_model | [] | 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
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
0.009496324695646763,
-0.033454835414886475,
0.0042714751325547695,
0.04148295149207115,
0.0485464408993721,
0.011305172927677631,
-0.025808800011873245,
-0.010929797776043415,
-0.033506859093904495,
0.03899163380265236,
-0.008773425593972206,
-0.007860883139073849,
0.0035036648623645306,
... |
Akashpb13/Hausa_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ha",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index",
"... | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 31 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.04981405660510063,
0.0074799251742661,
-0.00814903900027275,
0.05821682885289192,
0.028490744531154633,
0.03199642151594162,
-0.0035919430665671825,
-0.034286018460989,
-0.0038349605165421963,
0.05216294899582863,
0.017693785950541496,
-0.01416701264679432,
0.007798977196216583,
0.02415... |
Akashpb13/xlsr_kurmanji_kurdish | [
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"kmr",
"ku",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-... | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 10 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: /content/drive/MyDrive/ColabNotebooks/img_align_celeba
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, the... | [
-0.0014467791188508272,
-0.01729760132730007,
0.017670057713985443,
0.03638441488146782,
0.009893462061882019,
0.01651095598936081,
0.0016364175826311111,
0.004487098194658756,
-0.02738507091999054,
0.05215095728635788,
0.01919449120759964,
0.0024122181348502636,
0.022736351937055588,
0.03... |
Akashpb13/xlsr_maltese_wav2vec2 | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"mt",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 8 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
-0.03987744450569153,
0.015702730044722557,
0.013998853042721748,
0.017577840015292168,
0.049727663397789,
-0.013288556598126888,
-0.019633201882243156,
-0.023965897038578987,
-0.01754039339721203,
0.06768195331096649,
0.03600577637553215,
-0.008193518035113811,
0.011680676601827145,
-0.00... |
Akbarariza/Anjar | [] | 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 |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.032284561544656754,
-0.0028112782165408134,
-0.019733646884560585,
0.051283691078424454,
0.03963654115796089,
0.02608228474855423,
-0.0019260196713730693,
-0.03656329959630966,
-0.028071479871869087,
0.04793427884578705,
0.024369480088353157,
-0.003345492761582136,
0.020210817456245422,
... |
Akjder/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... | 8 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.047343090176582336,
0.006856920663267374,
-0.011163358576595783,
0.05941018834710121,
0.03183119371533394,
0.028054524213075638,
0.002333309967070818,
-0.03545060381293297,
-0.008396959863603115,
0.050417665392160416,
0.02253839187324047,
-0.010640691965818405,
0.009503592737019062,
0.0... |
AlanDev/DallEMiniButBetter | [] | 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:
- rotten_tomatoes
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: rotten_tomatoes
type: rotten_tomato... | [
-0.005041354801505804,
-0.002714826725423336,
-0.014506173320114613,
0.040865205228328705,
0.042445164173841476,
0.027608921751379967,
-0.021198447793722153,
-0.018714185804128647,
-0.0378844328224659,
0.05480065941810608,
0.03579866141080856,
-0.011972607113420963,
0.00488633057102561,
0.... |
AlanDev/dall-e-better | [] | 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 | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.029234038665890694,
0.018230242654681206,
0.0036606306675821543,
0.009176405146718025,
0.04400138929486275,
-0.018997717648744583,
-0.021622145548462868,
-0.01578444615006447,
-0.029898816719651222,
0.0846094936132431,
0.017318837344646454,
-0.008446608670055866,
0.017369553446769714,
0... |
AlbertHSU/ChineseFoodBert | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"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": nul... | 15 | null | ---
tags:
- generated_from_trainer
model-index:
- name: model_WS_CV0
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. -->
# model_WS_CV0
This model is a fine-tuned v... | [
-0.019905129447579384,
-0.0046655465848743916,
0.008334968239068985,
0.03730860352516174,
0.03098452277481556,
0.010709038004279137,
-0.019893797114491463,
-0.007732147350907326,
-0.042851682752370834,
0.0646609216928482,
0.011487935669720173,
-0.04171377047896385,
0.0003661484515760094,
0... |
Alberto15Romero/GptNeo | [] | 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 |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03283803537487984,
-0.0022912423592060804,
-0.01994982920587063,
0.051007214933633804,
0.039467062801122665,
0.025280723348259926,
-0.0014726918889209628,
-0.03597702085971832,
-0.027287568897008896,
0.04736213758587837,
0.022993890568614006,
-0.005836746655404568,
0.019239865243434906,
... |
Aleksandar/electra-srb-ner | [
"pytorch",
"safetensors",
"electra",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"ElectraForTokenClassification"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 15 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: roberta-base_edos_b
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 remo... | [
-0.024850966408848763,
0.005411225371062756,
-0.0024390057660639286,
0.01861077919602394,
0.01952401176095009,
0.027171988040208817,
-0.008186892606317997,
-0.01116066426038742,
-0.04709037393331528,
0.049563515931367874,
0.014726133085787296,
-0.05427870526909828,
0.013910657726228237,
0.... |
Aleksandar1932/gpt2-hip-hop | [
"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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-pixelcopter-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.04135811701416969,
0.01506301760673523,
0.013014506548643112,
0.01904228702187538,
0.04957453906536102,
-0.014408733695745468,
-0.019227050244808197,
-0.024613086134195328,
-0.01728186570107937,
0.06786958128213882,
0.03648378327488899,
-0.00857932586222887,
0.011629350483417511,
-0.007... |
Alerosae/SocratesGPT-2 | [
"pytorch",
"gpt2",
"feature-extraction",
"en",
"transformers",
"text-generation"
] | text-generation | {
"architectures": [
"GPT2Model"
],
"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": nul... | 7 | null | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- paulmbw/autotrain-data-productkit-customer-insights
co2_eq_emissions:
emissions: 0.3252141705527131
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2851583532
- CO2 Emissions (in gra... | [
-0.029673272743821144,
-0.012582357972860336,
0.00752221280708909,
0.027305150404572487,
0.032510560005903244,
0.021125460043549538,
-0.03489838168025017,
-0.017703985795378685,
-0.034225694835186005,
0.07549228519201279,
0.023345883935689926,
0.026914790272712708,
0.010907656513154507,
0.... |
Alessandro/model_name | [] | 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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: pixelcopter-v5
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metric... | [
-0.04168001934885979,
0.014043635688722134,
0.015108929947018623,
0.019826563075184822,
0.04852354899048805,
-0.013550364412367344,
-0.019579803571105003,
-0.02872103825211525,
-0.016360197216272354,
0.06500550359487534,
0.037504877895116806,
-0.007633220870047808,
0.008173997513949871,
-0... |
AlexDemon/Alex | [] | 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 |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03192029520869255,
-0.002301753731444478,
-0.019403986632823944,
0.051119204610586166,
0.040266312658786774,
0.02637668512761593,
-0.0010650127660483122,
-0.03654239699244499,
-0.028661757707595825,
0.048341356217861176,
0.02369948849081993,
-0.005335015244781971,
0.019512852653861046,
... |
AlexN/xls-r-300m-pt | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"robust-speech-event",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 15 | 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
... | [
-0.037292301654815674,
-0.002678826218470931,
-0.004958963952958584,
0.025725623592734337,
0.04543197527527809,
-0.02136022225022316,
-0.005086956545710564,
-0.028084101155400276,
-0.033618032932281494,
0.06646941602230072,
0.03249405324459076,
-0.023852098733186722,
0.022947126999497414,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.