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 |
|---|---|---|---|---|---|---|---|
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"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_ngram_size... | 7 | null | ---
tags:
- Berzerk-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: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
-0.009396808221936226,
-0.004323471337556839,
-0.015999672934412956,
0.041262757033109665,
0.03234978765249252,
0.008394867181777954,
-0.013495898805558681,
-0.02305462770164013,
-0.017203163355588913,
0.07976079732179642,
0.03254534304141998,
-0.00845891609787941,
-0.005963407456874847,
0... |
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1 | [
"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... | 10 | null | ---
tags:
- Assault-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: Assault-v5
type: Assault-v5
metrics:
- ty... | [
-0.017136666923761368,
-0.010689103044569492,
-0.02408963441848755,
0.032724976539611816,
0.04582801088690758,
-0.00021696822659578174,
-0.014401433058083057,
-0.025753766298294067,
-0.026369109749794006,
0.06758125126361847,
0.030771907418966293,
-0.010250777937471867,
0.004213942680507898,... |
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1_wikiqa | [
"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... | 27 | null | ---
tags:
- Centipede-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: Centipede-v5
type: Centipede-v5
metrics:
... | [
-0.02237539179623127,
-0.005894860718399286,
-0.008470297791063786,
0.023548154160380363,
0.030608998611569405,
0.0015996884321793914,
-0.019562721252441406,
-0.04009121656417847,
-0.027378780767321587,
0.07097793370485306,
0.014508591033518314,
-0.01971803605556488,
0.002757657552137971,
... |
AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa | [
"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... | 27 | null | ---
tags:
- generated_from_trainer
datasets:
- HiTZ/alpaca_mt
model-index:
- name: alpaca-lora-65b-en-pt-es-ca
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. -->
# ... | [
-0.03320442512631416,
-0.005152012687176466,
-0.00493565434589982,
0.055971305817365646,
0.03740214183926582,
0.01051064021885395,
-0.010528549551963806,
-0.020636357367038727,
-0.01998872496187687,
0.06511694937944412,
0.009295511990785599,
-0.05410103499889374,
0.012283912859857082,
0.03... |
AnonymousSub/specter-bert-model | [
"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... | 6 | null | ---
tags:
- DemonAttack-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: DemonAttack-v5
type: DemonAttack-v5
metri... | [
-0.032566674053668976,
-0.006014062091708183,
-0.012255527079105377,
0.032438743859529495,
0.043948523700237274,
-0.007705622352659702,
-0.01612933911383152,
-0.023810580372810364,
-0.026766592636704445,
0.07218585908412933,
0.03973366692662239,
-0.01176523044705391,
0.0011183451861143112,
... |
ArBert/roberta-base-finetuned-ner-agglo-twitter | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 12 | null | ---
tags:
- Seaquest-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: Seaquest-v5
type: Seaquest-v5
metrics:
-... | [
-0.022639768198132515,
-0.016594259068369865,
-0.006825229153037071,
0.04144861176609993,
0.04031014069914818,
-0.013590240851044655,
-0.02934073470532894,
-0.01955542527139187,
-0.013609791174530983,
0.06582256406545639,
0.009555832482874393,
-0.017298441380262375,
-0.00045826417044736445,
... |
AragornII/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 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.05149821937084198,
0.0017297976883128285,
-0.005401731468737125,
0.050428714603185654,
0.026243161410093307,
0.03097483329474926,
-0.011300182901322842,
-0.021693455055356026,
-0.0010571115417405963,
0.04962627962231636,
0.025601154193282127,
-0.0150442598387599,
0.00775875011458993,
0.... |
Aran/DialoGPT-medium-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 | 2023-03-25T16:02:28Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.021623453125357628,
-0.005506800953298807,
0.010069984011352062,
0.03926406428217888,
0.032690808176994324,
0.015552986413240433,
-0.028467321768403053,
-0.015427722595632076,
-0.01635826751589775,
0.06175999715924263,
0.006368173751980066,
0.0006425578030757606,
0.01072878297418356,
0.... |
Aran/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 | 2023-03-25T16:04:10Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-mul-finetuned-en-to-lfn
results: []
language:
- en
- lfn
pipeline_tag: translation
---
# opus-mt-en-mul-finetuned-en-to-lfn
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsi... | [
-0.022493213415145874,
-0.011190719902515411,
-0.00011450745660113171,
0.045627519488334656,
0.048320215195417404,
0.029119515791535378,
-0.021745845675468445,
-0.005118391942232847,
-0.046678416430950165,
0.045306313782930374,
0.007622231263667345,
-0.01345930527895689,
-0.01587133854627609... |
ArashEsk95/bert-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 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
-0.01840854622423649,
-0.002739659510552883,
-0.070090651512146,
0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
AriakimTaiyo/DialoGPT-small-Kumiko | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
tags:
- CrazyClimber-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: CrazyClimber-v5
type: CrazyClimber-v5
me... | [
-0.027868863195180893,
-0.004777248948812485,
-0.016215791925787926,
0.027109511196613312,
0.041403885930776596,
-0.013800987042486668,
-0.011087719351053238,
-0.012106689624488354,
-0.01500653475522995,
0.0741083174943924,
0.021081114187836647,
-0.0033798173535615206,
-0.0004919420462101698... |
Aries/T5_question_generation | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 13 | 2023-03-25T16:19:29Z | ---
tags:
- Berzerk-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: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
-0.007045370526611805,
-0.006025172304362059,
-0.014477293007075787,
0.041498392820358276,
0.033977773040533066,
0.006792955566197634,
-0.015739085152745247,
-0.023121226578950882,
-0.015389748848974705,
0.080145925283432,
0.030369428917765617,
-0.0033535961993038654,
-0.008970484137535095,
... |
ArjunKadya/HuggingFace | [] | 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 | 2023-03-25T16:19:39Z | ---
tags:
- Berzerk-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: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
-0.00724391732364893,
-0.005885034799575806,
-0.014610374346375465,
0.04128742218017578,
0.03386678174138069,
0.006833827123045921,
-0.016118116676807404,
-0.023030169308185577,
-0.015105605125427246,
0.08016421645879745,
0.029980365186929703,
-0.003204841399565339,
-0.009282584302127361,
... |
ArnaudPannatier/MLPMixer | [] | 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:
- Centipede-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: Centipede-v5
type: Centipede-v5
metrics:
... | [
-0.02279559336602688,
-0.00859331339597702,
-0.006333639845252037,
0.023681849241256714,
0.033392567187547684,
0.0015260876389220357,
-0.022140244022011757,
-0.04058700054883957,
-0.025557441636919975,
0.07138241082429886,
0.01195890549570322,
-0.01523143146187067,
-0.002474452368915081,
0... |
Arnold/common_voiceha | [] | 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:
- Centipede-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: Centipede-v5
type: Centipede-v5
metrics:
... | [
-0.022692270576953888,
-0.008820229209959507,
-0.006339209154248238,
0.02414075657725334,
0.03394074738025665,
0.0012198499171063304,
-0.021816272288560867,
-0.03972838073968887,
-0.024925820529460907,
0.07036794722080231,
0.011859651654958725,
-0.01577780395746231,
-0.0015644748928025365,
... |
Arnold/wav2vec2-hausa-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Centipede-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: Centipede-v5
type: Centipede-v5
metrics:
... | [
-0.022934507578611374,
-0.008018093183636665,
-0.006628892384469509,
0.023760655894875526,
0.03363478183746338,
0.0009179739281535149,
-0.021981237456202507,
-0.04061735421419144,
-0.025250812992453575,
0.07096246629953384,
0.012050270102918148,
-0.015591699630022049,
-0.0018649442354217172,... |
Arnold/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- BeamRider-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: BeamRider-v5
type: BeamRider-v5
metrics:
... | [
-0.030617723241448402,
-0.007793543394654989,
-0.007036186289042234,
0.020986098796129227,
0.035915933549404144,
-0.0030415495857596397,
-0.012912007980048656,
-0.02728714980185032,
-0.021249646320939064,
0.058864250779151917,
0.021180540323257446,
-0.005909275729209185,
-0.00886819325387477... |
Aron/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,
... | 36 | null | ---
tags:
- DemonAttack-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: DemonAttack-v5
type: DemonAttack-v5
metri... | [
-0.03248981386423111,
-0.008408655412495136,
-0.009635255672037601,
0.03184216469526291,
0.04639348387718201,
-0.008222077041864395,
-0.019378013908863068,
-0.023161452263593674,
-0.024138744920492172,
0.07302102446556091,
0.036468397825956345,
-0.006278721150010824,
-0.0017381395446136594,
... |
Atarax/rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Jamesbond-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: Jamesbond-v5
type: Jamesbond-v5
metrics:
... | [
-0.020912420004606247,
-0.019805941730737686,
-0.015357833355665207,
0.020031845197081566,
0.040492478758096695,
0.014171591959893703,
-0.021843839436769485,
-0.015426830388605595,
-0.01897183246910572,
0.06570669263601303,
0.030341479927301407,
-0.004208292346447706,
0.009808833710849285,
... |
Atchuth/DialoGPT-small-MBOT | [] | 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:
- Jamesbond-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: Jamesbond-v5
type: Jamesbond-v5
metrics:
... | [
-0.020848236978054047,
-0.01980915665626526,
-0.01530645601451397,
0.020449195057153702,
0.04048885032534599,
0.014218524098396301,
-0.021939387544989586,
-0.015877187252044678,
-0.01860646903514862,
0.06593599915504456,
0.0300863366574049,
-0.0044034491293132305,
0.00979036744683981,
0.02... |
Ateeb/SquadQA | [] | 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:
- Kangaroo-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: Kangaroo-v5
type: Kangaroo-v5
metrics:
-... | [
-0.029362143948674202,
-0.009657474234700203,
-0.011447561904788017,
0.029175393283367157,
0.053547490388154984,
-0.00434150593355298,
-0.0030386243015527725,
-0.024144908413290977,
-0.022239048033952713,
0.07755188643932343,
0.011297252960503101,
-0.037593670189380646,
0.009950920939445496,... |
Augustvember/WokkaBot4 | [] | 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:
- KungFuMaster-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: KungFuMaster-v5
type: KungFuMaster-v5
me... | [
-0.010255581699311733,
-0.012658579275012016,
-0.006681375205516815,
0.027020469307899475,
0.04156048595905304,
0.004483791068196297,
-0.021825261414051056,
-0.016008803620934486,
-0.013054871000349522,
0.0659574344754219,
0.012442818842828274,
-0.009975425899028778,
0.011971560306847095,
... |
Augustvember/WokkaBot5 | [] | 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:
- KungFuMaster-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: KungFuMaster-v5
type: KungFuMaster-v5
me... | [
-0.010553655214607716,
-0.012565448880195618,
-0.006841345224529505,
0.026771103963255882,
0.04133794084191322,
0.004514832515269518,
-0.021682633087038994,
-0.0164068304002285,
-0.012833676300942898,
0.06595156341791153,
0.012568535283207893,
-0.009648802690207958,
0.011867018416523933,
0... |
Aviora/phobert-ner | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-25T17:15:35Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.0218306053429842,
-0.005008382257074118,
0.00989749375730753,
0.03889109566807747,
0.03329360857605934,
0.015073851682245731,
-0.03091690130531788,
-0.015386021696031094,
-0.014957526698708534,
0.06000525876879692,
0.006828219164162874,
-0.0008022580295801163,
0.011526036076247692,
0.02... |
Awsaf/DialoGPT-medium-eren | [
"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... | 12 | null | ---
tags:
- SpaceInvaders-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: SpaceInvaders-v5
type: SpaceInvaders-v5
... | [
-0.027086583897471428,
-0.022690296173095703,
-0.016136979684233665,
0.021694885566830635,
0.047909438610076904,
-0.007034531328827143,
-0.017774708569049835,
-0.03301042318344116,
-0.00933741219341755,
0.06730003654956818,
0.030576298013329506,
-0.0074656689539551735,
0.009300570003688335,
... |
Axcel/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
tags:
- StarGunner-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: StarGunner-v5
type: StarGunner-v5
metrics:... | [
-0.02255386859178543,
-0.0019438350573182106,
-0.012975405901670456,
0.03539566323161125,
0.04658058285713196,
0.0019114215392619371,
-0.016833242028951645,
-0.04108656570315361,
-0.02584773115813732,
0.06473775953054428,
0.04319362714886665,
-0.00920410081744194,
0.010720447637140751,
0.0... |
Axon/resnet18-v1 | [
"dataset:ImageNet",
"arxiv:1512.03385",
"Axon",
"Elixir",
"license:apache-2.0"
] | 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 | 2023-03-25T17:16:49Z | ---
tags:
- SpaceInvaders-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: SpaceInvaders-v5
type: SpaceInvaders-v5
... | [
-0.02671665884554386,
-0.02229081280529499,
-0.016048124060034752,
0.02164524234831333,
0.047380585223436356,
-0.007041072938591242,
-0.017413008958101273,
-0.03285611793398857,
-0.009541871026158333,
0.0671541690826416,
0.030962567776441574,
-0.007347921375185251,
0.009369730949401855,
0.... |
Aybars/ModelOnWhole | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 4 | null | ---
tags:
- Surround-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: Surround-v5
type: Surround-v5
metrics:
-... | [
-0.007842382416129112,
-0.0059667667374014854,
-0.012366816401481628,
0.050370246171951294,
0.04142855107784271,
0.005231136456131935,
-0.021424369886517525,
-0.022029021754860878,
-0.019834080711007118,
0.06450624763965607,
0.018934788182377815,
-0.032978691160678864,
-0.0015059392899274826... |
Ayham/albert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 6 | 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... | [
-0.02379283867776394,
-0.025089699774980545,
-0.005892540793865919,
0.02493196167051792,
0.041094474494457245,
-0.006895924918353558,
-0.01891167461872101,
-0.01684674248099327,
-0.013246295042335987,
0.06300897896289825,
0.0254677701741457,
-0.009739356115460396,
-0.008323638699948788,
0.... |
Ayham/ernie_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 13 | null | ---
license: mit
language:
- en
pipeline_tag: text2text-generation
tags:
- legal
---
# flan-t5-cbp-lkg-small
Google's Flan T5 model ([flan-t5-small](https://huggingface.co/google/flan-t5-small)) trained over a Legal Knowledge Graph using the training method used for [KGT-5](https://huggingface.co/spaces/apoorvumang/kg... | [
-0.010670877061784267,
-0.004439930431544781,
0.008208880200982094,
0.03456050157546997,
0.019410332664847374,
0.0072533669881522655,
-0.018271557986736298,
0.02864706888794899,
-0.014893898740410805,
0.04708210006356239,
0.02109900489449501,
0.0008503638673573732,
0.02670305222272873,
0.0... |
Ayham/roberta_bert_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 12 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
-0.006882946006953716,
0.007043187506496906,
-0.017490971833467484,
0.01835722103714943,
0.06009843200445175,
-0.02973509393632412,
0.0067748576402664185,
-0.03449496626853943,
-0.028542743995785713,
0.06803406774997711,
0.025916272774338722,
-0.029204901307821274,
-0.001405334915034473,
0... |
Ayham/roberta_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 4 | 2023-03-25T17:46:52Z | ---
tags:
- DoubleDunk-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: DoubleDunk-v5
type: DoubleDunk-v5
metrics:... | [
-0.020684760063886642,
-0.00278974836692214,
0.00816739909350872,
0.02183721773326397,
0.03990298882126808,
-0.020795652642846107,
-0.006645451299846172,
-0.027422593906521797,
-0.0193210169672966,
0.0556507371366024,
0.01800590381026268,
-0.012710590846836567,
0.005571304354816675,
0.0263... |
Ayham/roberta_gpt2_new_max64_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: prueba1
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 th... | [
-0.020231034606695175,
0.004418791271746159,
0.0006113604758866131,
0.030230378732085228,
0.03764323890209198,
0.021095821633934975,
0.005296658258885145,
-0.0063848854042589664,
-0.01781054213643074,
0.037348441779613495,
0.01827065460383892,
-0.028464041650295258,
-0.006234778091311455,
... |
Ayham/roberta_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 31 | 2023-03-25T17:47:38Z | ---
tags:
- UpNDown-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: UpNDown-v5
type: UpNDown-v5
metrics:
- ty... | [
-0.020914165303111076,
-0.003313247812911868,
0.0013738516718149185,
0.042825374752283096,
0.037920624017715454,
0.004034051205962896,
-0.02340615727007389,
-0.03444855287671089,
-0.02716672420501709,
0.06992588192224503,
0.022462423890829086,
-0.013075154274702072,
0.0067984298802912235,
... |
Ayham/roberta_roberta_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 3 | 2023-03-25T17:47:41Z | ---
tags:
- VideoPinball-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: VideoPinball-v5
type: VideoPinball-v5
me... | [
-0.014211460947990417,
-0.006849771365523338,
-0.008535497821867466,
0.031218523159623146,
0.03671569004654884,
-0.006106843706220388,
-0.012146181426942348,
-0.026297176256775856,
-0.017706185579299927,
0.0699024423956871,
0.01716834306716919,
-0.011096600443124771,
-0.004276640713214874,
... |
Ayham/robertagpt2_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"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... | 4 | 2023-03-25T17:49:04Z | ---
tags:
- UpNDown-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: UpNDown-v5
type: UpNDown-v5
metrics:
- ty... | [
-0.021092738956212997,
-0.0031804165337234735,
0.0013675866648554802,
0.042914122343063354,
0.03775298222899437,
0.004149166867136955,
-0.023783022537827492,
-0.03437815606594086,
-0.027262656018137932,
0.06932899355888367,
0.02120232954621315,
-0.012910298071801662,
0.007168986834585667,
... |
Ayham/robertagpt2_xsum4 | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"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... | 8 | null | ---
tags:
- FishingDerby-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: FishingDerby-v5
type: FishingDerby-v5
me... | [
-0.01619071327149868,
-0.008537352085113525,
0.00991525687277317,
0.03648925572633743,
0.052598875015974045,
-0.0013798583531752229,
-0.03811904042959213,
-0.035912562161684036,
-0.0276325773447752,
0.07220644503831863,
0.02298547700047493,
-0.012882768176496029,
-0.009965136647224426,
0.0... |
Ayham/xlmroberta_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"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... | 9 | null | ---
tags:
- Enduro-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: Enduro-v5
type: Enduro-v5
metrics:
- type:... | [
-0.02069687470793724,
-0.009588447399437428,
-0.004294861573725939,
0.022763310000300407,
0.051390331238508224,
-0.004367474000900984,
-0.013681646436452866,
-0.027491077780723572,
-0.03541224077343941,
0.07283087074756622,
0.009784741327166557,
-0.017288224771618843,
0.004735286347568035,
... |
Ayham/xlmroberta_large_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 12 | null | ---
license: unknown
---
# Alpaca (fine-tuned natively) 7B model download for Alpaca.cpp, Llama.cpp, and Dalai
Mirrored version of https://huggingface.co/Sosaka/Alpaca-native-4bit-ggml in case that one gets taken down
All credits go to Sosaka and chavinlo for creating the model
https://huggingface.co/chavinlo/alpaca... | [
-0.049432795494794846,
0.0036224820651113987,
-0.00982169434428215,
0.02965938113629818,
0.041401248425245285,
-0.00218579126521945,
-0.0034031623508781195,
0.003964258823543787,
-0.01995031349360943,
0.051967229694128036,
0.0426059365272522,
-0.03446664288640022,
0.04943576827645302,
0.02... |
Ayham/xlnet_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 13 | null | ---
tags:
- conversational
---
# South Park DialoGPT Model | [
-0.037088703364133835,
0.013574725948274136,
-0.006405426189303398,
0.015203133225440979,
0.012894622050225735,
0.013175910338759422,
0.0034291576594114304,
0.03025968186557293,
-0.014159340411424637,
0.026888467371463776,
0.04454948380589485,
-0.04054173827171326,
0.02114512398838997,
0.0... |
Ayham/xlnet_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"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... | 8 | 2023-03-25T17:52:54Z | ---
tags:
- Enduro-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: Enduro-v5
type: Enduro-v5
metrics:
- type:... | [
-0.02065822295844555,
-0.009263353422284126,
-0.003871757071465254,
0.022493325173854828,
0.051394276320934296,
-0.004608798772096634,
-0.01391739584505558,
-0.027611786499619484,
-0.03554784879088402,
0.07301027327775955,
0.009008478373289108,
-0.01650848053395748,
0.004238711204379797,
0... |
Ayham/xlnet_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"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... | 13 | 2023-03-25T17:53:49Z | ---
tags:
- Freeway-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: Freeway-v5
type: Freeway-v5
metrics:
- ty... | [
-0.018307331949472427,
-0.01565675064921379,
-0.018311137333512306,
0.014479712583124638,
0.03287027031183243,
0.008771485649049282,
-0.01877705007791519,
-0.004914735443890095,
-0.02881351299583912,
0.061415694653987885,
0.03509792685508728,
-0.006307413335889578,
0.00563850998878479,
0.0... |
Ayham/xlnet_gpt_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"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... | 11 | null | ---
tags:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.010268171317875385,
-0.009686022996902466,
-0.008285295218229294,
0.030764250084757805,
0.045103561133146286,
0.0018288238206878304,
-0.013914070092141628,
-0.02665088325738907,
-0.044056110084056854,
0.0538514107465744,
0.027107730507850647,
0.007586353458464146,
0.011453419923782349,
... |
Ayham/xlnet_roberta_new_summarization_cnn_dailymail | [] | 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:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.010857774876058102,
-0.010222124867141247,
-0.008813438937067986,
0.030896512791514397,
0.04597563296556473,
0.001633603940717876,
-0.013414286077022552,
-0.026945289224386215,
-0.04377998039126396,
0.053736768662929535,
0.02739850804209709,
0.007187219802290201,
0.01148237008601427,
0.... |
Ayham/xlnetgpt2_xsum7 | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"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... | 8 | null | ---
tags:
- Gopher-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: Gopher-v5
type: Gopher-v5
metrics:
- type:... | [
-0.021431250497698784,
-0.00198426004499197,
-0.014895963482558727,
0.030481820926070213,
0.05410213768482208,
0.005026473198086023,
-0.008587704971432686,
-0.029040776193141937,
-0.03020678274333477,
0.07251235097646713,
0.015832021832466125,
-0.019174909219145775,
0.0027205103542655706,
... |
Ayoola/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: afl-3.0
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- code_eval
library_name: asteroid
--- | [
-0.02782837115228176,
-0.024935944005846977,
0.006306545343250036,
-0.005750236567109823,
0.0742553174495697,
-0.013922563754022121,
-0.014097779057919979,
-0.007120354566723108,
-0.025705847889184952,
0.04017212614417076,
0.04156484827399254,
0.04405294731259346,
0.034399159252643585,
0.0... |
Ayou/chinese_mobile_bert | [
"pytorch",
"mobilebert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"MobileBertForMaskedLM"
],
"model_type": "mobilebert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 16 | null | ---
tags:
- Enduro-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: Enduro-v5
type: Enduro-v5
metrics:
- type:... | [
-0.020643526688218117,
-0.009699384681880474,
-0.004693281836807728,
0.0227755568921566,
0.05145472288131714,
-0.0040002865716814995,
-0.013581300154328346,
-0.027536986395716667,
-0.03561711311340332,
0.07302321493625641,
0.009518787264823914,
-0.0176981333643198,
0.0046694837510585785,
0... |
Ayran/DialoGPT-medium-harry-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 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.052318476140499115,
0.0021923028398305178,
-0.005414824467152357,
0.05013827607035637,
0.02569497376680374,
0.031089777126908302,
-0.009478886611759663,
-0.021350178867578506,
-0.0005919925170019269,
0.05045091733336449,
0.024063676595687866,
-0.013941084034740925,
0.0064546093344688416,
... |
Ayran/DialoGPT-medium-harry-potter-1-through-3 | [
"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... | 12 | null | ---
tags:
- Freeway-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: Freeway-v5
type: Freeway-v5
metrics:
- ty... | [
-0.018110107630491257,
-0.015709741041064262,
-0.018545087426900864,
0.014403723180294037,
0.03288765624165535,
0.00899721123278141,
-0.01876121386885643,
-0.004913455341011286,
-0.02890021912753582,
0.06142525002360344,
0.03521774336695671,
-0.006222679745405912,
0.005601796321570873,
0.0... |
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18 | [
"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... | 12 | null | ---
tags:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.010284571908414364,
-0.009738714434206486,
-0.008734172210097313,
0.030790794640779495,
0.045439012348651886,
0.0020802761428058147,
-0.01431061141192913,
-0.026801612228155136,
-0.04386711120605469,
0.05383595824241638,
0.027630649507045746,
0.0073924437165260315,
0.011344362050294876,
... |
BSC-LT/RoBERTalex | [
"pytorch",
"roberta",
"fill-mask",
"es",
"dataset:legal_ES",
"dataset:temu_legal",
"arxiv:2110.12201",
"transformers",
"legal",
"spanish",
"license:apache-2.0",
"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... | 24 | null | ---
license: creativeml-openrail-m
language:
- ja
- en
tags:
- stable-diffusion
- text-to-image
---
# EstrildaMix

A series of models is like a dark pot merging various models.
---
## Table of... | [
-0.02816551737487316,
-0.0224395003169775,
-0.01874067820608616,
0.03524984419345856,
0.05341144651174545,
0.027464760467410088,
0.00401940057054162,
0.004987445659935474,
-0.014127769507467747,
0.06870707869529724,
0.028581418097019196,
-0.009557640179991722,
-0.0008451322792097926,
0.056... |
Bakkes/BakkesModWiki | [] | 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:
- summarization
- generated_from_trainer
model-index:
- name: output-tfg
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. -->
# output-t... | [
-0.024682465940713882,
-0.012003482319414616,
-0.006071851588785648,
0.03172198683023453,
0.03454766795039177,
0.014332246035337448,
-0.01834261231124401,
-0.0035666171461343765,
-0.03804594650864601,
0.05714636668562889,
0.023373417556285858,
-0.005176243372261524,
0.010021690279245377,
0... |
Bala/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:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.022230835631489754,
-0.005058188922703266,
0.010935217142105103,
0.03952799364924431,
0.03225184977054596,
0.014896944165229797,
-0.028327923268079758,
-0.01568193919956684,
-0.015519717708230019,
0.06115695461630821,
0.006292684935033321,
0.0009088490041904151,
0.01126394048333168,
0.0... |
BalajiSathesh/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 | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.045824430882930756,
-0.000533600861672312,
-0.02136337384581566,
0.03198472782969475,
0.04336988553404808,
0.017248032614588737,
-0.018508736044168472,
-0.03036237321794033,
-0.03730723261833191,
0.06907293200492859,
0.02139224298298359,
0.002474032575264573,
0.015619015321135521,
0.027... |
BatuhanYilmaz/dummy | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.044792480766773224,
-0.0031133433803915977,
0.011051454581320286,
0.03878336399793625,
0.02526760846376419,
-0.01034107431769371,
-0.010900041088461876,
-0.026822829619050026,
-0.03814319893717766,
0.055217765271663666,
0.03681774437427521,
0.0011946667218580842,
0.020581167191267014,
0... |
Beatriz/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:
- MontezumaRevenge-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: MontezumaRevenge-v5
type: MontezumaReven... | [
-0.021663039922714233,
-0.0017968988977372646,
-0.00824796874076128,
0.04267508536577225,
0.04049060866236687,
0.003333748783916235,
-0.0015362461563199759,
-0.026278555393218994,
-0.025038113817572594,
0.06441210955381393,
0.02123837172985077,
-0.019821882247924805,
-0.00449115876108408,
... |
Bee-Garbs/DialoGPT-real-cartman-small | [
"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:
- ChopperCommand-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: ChopperCommand-v5
type: ChopperCommand-v5
... | [
-0.02896985039114952,
-0.007463948801159859,
-0.012883597984910011,
0.02448529377579689,
0.038043588399887085,
-0.007684994023293257,
-0.021773753687739372,
-0.021156804636120796,
-0.011447768658399582,
0.07262308150529861,
0.03440587595105171,
-0.013574197888374329,
-0.0032224624883383512,
... |
Beelow/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 | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04517984390258789,
-0.0008045750437304378,
-0.022212952375411987,
0.032218676060438156,
0.04356980696320534,
0.017729179933667183,
-0.018259672448039055,
-0.030833637341856956,
-0.03734579682350159,
0.06957847625017166,
0.02272847667336464,
0.0029200564604252577,
0.014756170101463795,
0... |
Benicio/t5-small-finetuned-en-to-ro | [] | 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 | I will give more info but this is how to generate text with the model.
You will need to install
```bash
pip install peft
```
To run in python
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftConfig, PeftModelForCausalLM
peft_model_id = 'GrantC/alpaca-opt-1.3b-lora'
BASE_MOD... | [
-0.005507692229002714,
-0.0023007707204669714,
-0.010932514443993568,
0.03679012507200241,
0.04825206100940704,
0.05210970342159271,
0.007672896608710289,
-0.018442049622535706,
-0.02956460416316986,
0.07818911969661713,
0.03984779492020607,
-0.0011265008943155408,
-0.0051427013240754604,
... |
BertChristiaens/EmojiPredictor | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 6 | 2023-03-25T22:02:58Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
datasets: embed/EasyNegative
---
## Descriptions
This model is for reproducing delicate, beautiful flat-color ligne claire style anime pictures.
You can use tags like `ligne claire`, `lineart` or `monochrome` etc. to get more styles!
## Rec... | [
0.013060392811894417,
-0.02557990700006485,
-0.005075979512184858,
0.028932370245456696,
0.04682990908622742,
0.004828664008527994,
0.014241239055991173,
0.005083294585347176,
-0.010035969316959381,
0.06477721035480499,
0.01549870427697897,
-0.015382558107376099,
0.018526297062635422,
0.03... |
Biasface/DDDC | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
{}
---
LoRA weights for LLaMA-7b trained on a subset of the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset in which the long tail of lengthy entries are removed and the prompt is shortened to the following:
```
Appropriately respond to the following instruction:
### Instruction: Write a ... | [
-0.030269421637058258,
-0.006066630128771067,
0.008821706287562847,
0.03899425268173218,
0.03536595031619072,
-0.00006393736111931503,
-0.011963782832026482,
-0.008794242516160011,
-0.013415772467851639,
0.03668207302689552,
0.0561697892844677,
-0.010176139883697033,
0.007726486772298813,
... |
BigSalmon/FormalBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 10 | 2023-03-25T22:38:11Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04571649432182312,
-0.0012262219097465277,
-0.02179987169802189,
0.03228692710399628,
0.04352211579680443,
0.017943143844604492,
-0.018572762608528137,
-0.030803481116890907,
-0.037137676030397415,
0.06919460743665695,
0.022309601306915283,
0.0034475228749215603,
0.014951803721487522,
0... |
BigSalmon/FormalBerta3 | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 4 | 2023-03-25T22:39:05Z | ---
tags:
- Riverraid-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: Riverraid-v5
type: Riverraid-v5
metrics:
... | [
-0.025014808401465416,
-0.011683310382068157,
-0.008119185455143452,
0.034107524901628494,
0.03902602940797806,
-0.0072792405262589455,
-0.022801941260695457,
-0.032625727355480194,
-0.017732949927449226,
0.05932100489735603,
0.014308653771877289,
-0.012546523474156857,
0.007588449399918318,... |
BigSalmon/FormalRobertaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 5 | null | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
widget:
- text: ["Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion.",
"Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 bill... | [
-0.028900889679789543,
-0.00028173645841889083,
-0.006051661446690559,
0.028661875054240227,
0.06631424278020859,
0.017194271087646484,
0.005318103823810816,
0.005441895220428705,
-0.05016673356294632,
0.059973523020744324,
0.013890850357711315,
-0.030970066785812378,
-0.0007147969445213675,... |
BigSalmon/GPTIntro | [] | 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:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split... | [
-0.019771317020058632,
-0.012554524466395378,
0.001619459129869938,
0.04339687153697014,
0.036798324435949326,
0.007168421056121588,
-0.005429239012300968,
-0.025337575003504753,
-0.042258646339178085,
0.0460885688662529,
0.032764732837677,
-0.02080664411187172,
0.001782805542461574,
0.017... |
BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 8 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.05120149627327919,
0.0008050532196648419,
-0.005609163548797369,
0.049732375890016556,
0.026041770353913307,
0.031372133642435074,
-0.01104141864925623,
-0.022259222343564034,
-0.0002945324231404811,
0.050905078649520874,
0.026041969656944275,
-0.013577762059867382,
0.00741358520463109,
... |
BigSalmon/InformalToFormalLincoln25 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-03-25T23:29:13Z | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
-0.029330501332879066,
-0.0047383299097418785,
-0.0177165400236845,
0.05208871513605118,
0.03556349501013756,
0.025414379313588142,
-0.001448269234970212,
-0.034464865922927856,
-0.025673696771264076,
0.04669329524040222,
0.026086166501045227,
-0.008649320341646671,
0.018692325800657272,
0... |
BigSalmon/MrLincoln | [
"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... | 7 | 2023-03-25T23:43:30Z | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.051794975996017456,
0.0010273547377437353,
-0.0050014108419418335,
0.05065123736858368,
0.02478402480483055,
0.02953280881047249,
-0.011398660019040108,
-0.022672249004244804,
-0.0009737039217725396,
0.05065422132611275,
0.02508944645524025,
-0.013214228674769402,
0.007535099517554045,
... |
BigSalmon/MrLincoln10 | [
"pytorch",
"tensorboard",
"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... | 5 | 2023-03-25T23:47:32Z | ---
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
... | [
-0.037278130650520325,
-0.002913010772317648,
-0.005015345755964518,
0.025949733331799507,
0.04538716748356819,
-0.021462639793753624,
-0.005808066576719284,
-0.028219053521752357,
-0.03292946517467499,
0.06659404933452606,
0.032545849680900574,
-0.02356349304318428,
0.022770479321479797,
... |
BigSalmon/MrLincoln11 | [
"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... | 9 | 2023-03-25T23:48:12Z | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.049749042838811874,
-0.016300125047564507,
-0.008717065677046776,
0.03643500804901123,
0.04119068756699562,
0.002968122949823737,
-0.021221935749053955,
-0.010411056689918041,
-0.03795416280627251,
0.05694544315338135,
0.024198630824685097,
-0.0029822622891515493,
0.03175351023674011,
0... |
BigSalmon/MrLincoln13 | [
"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... | 9 | null | ---
tags:
- TimePilot-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: TimePilot-v5
type: TimePilot-v5
metrics:
... | [
-0.009864234365522861,
-0.009060212410986423,
-0.009020563215017319,
0.0234452523291111,
0.03399919718503952,
0.00016039937327150255,
-0.011995293200016022,
-0.018396276980638504,
-0.018106073141098022,
0.07498341053724289,
0.03834835812449455,
-0.014053123071789742,
-0.006505600642412901,
... |
BigSalmon/MrLincoln14 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- 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
... | [
-0.03771292045712471,
-0.016764583066105843,
-0.015093378722667694,
0.03712395951151848,
0.04802761226892471,
-0.004429464228451252,
-0.014886351302266121,
-0.02548869512975216,
-0.028841273859143257,
0.054119180887937546,
0.021138207986950874,
-0.03140478953719139,
0.017232853919267654,
0... |
BigSalmon/MrLincoln3 | [
"pytorch",
"tensorboard",
"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... | 17 | null | ---
tags:
- Qbert-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: Qbert-v5
type: Qbert-v5
metrics:
- type: me... | [
-0.00968882255256176,
-0.003173989010974765,
-0.019002525135874748,
0.027714546769857407,
0.043063562363386154,
-0.010364963673055172,
-0.012748640030622482,
-0.030284423381090164,
-0.022074976935982704,
0.061596062034368515,
0.004647132474929094,
-0.013028840534389019,
0.005055049434304237,... |
BigSalmon/MrLincoln6 | [
"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... | 9 | null | ---
tags:
- RoadRunner-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: RoadRunner-v5
type: RoadRunner-v5
metrics:... | [
-0.005137154366821051,
-0.005952234845608473,
-0.02913896180689335,
0.00698507996276021,
0.04943525046110153,
0.0007733998936600983,
-0.005257240496575832,
-0.022728338837623596,
-0.018711822107434273,
0.06626737117767334,
0.021460868418216705,
-0.006004618480801582,
0.006984592881053686,
... |
BigSalmon/MrLincoln8 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
tags:
- Enduro-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: Enduro-v5
type: Enduro-v5
metrics:
- type:... | [
-0.02055790089070797,
-0.008516515605151653,
-0.0055493637919425964,
0.023768626153469086,
0.05022072792053223,
-0.0019220731919631362,
-0.01158470381051302,
-0.027780551463365555,
-0.03743912652134895,
0.07305201888084412,
0.00916452705860138,
-0.021619901061058044,
0.00902222003787756,
0... |
BigSalmon/MrLincolnBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 8 | null | ---
tags:
- Enduro-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: Enduro-v5
type: Enduro-v5
metrics:
- type:... | [
-0.020865658298134804,
-0.008632798679172993,
-0.0053124865517020226,
0.023747043684124947,
0.050062015652656555,
-0.002093174494802952,
-0.011478858068585396,
-0.027609853073954582,
-0.037490542978048325,
0.07306105643510818,
0.008982278406620026,
-0.02163451910018921,
0.00897397380322218,
... |
BigSalmon/Neo | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 13 | null | ---
license: creativeml-openrail-m
---
Anime extract will tune generations towards flat shaded anime-like look.
This is an extracted lora of a merge done by a discord user DarkSide from [detailedproject](https://huggingface.co/closertodeath/detailedproject) and animelike 2.5D. Similar effort can be found [here](https... | [
-0.025291835889220238,
-0.011863523162901402,
-0.006265323609113693,
0.03746536001563072,
0.034865498542785645,
0.00519909942522645,
-0.008126880042254925,
-0.003917265217751265,
-0.00740458769723773,
0.0739479586482048,
0.03798244893550873,
0.004436394665390253,
0.012303660623729229,
0.02... |
BigSalmon/ParaphraseParentheses | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
tags:
- FishingDerby-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: FishingDerby-v5
type: FishingDerby-v5
me... | [
-0.01564687117934227,
-0.007386222947388887,
0.007482185028493404,
0.03756056725978851,
0.04961472749710083,
0.00048425394925288856,
-0.034965649247169495,
-0.035717885941267014,
-0.029753578826785088,
0.0709616094827652,
0.025083065032958984,
-0.01827271468937397,
-0.005126248113811016,
0... |
BigSalmon/ParaphraseParentheses2.0 | [
"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... | 13 | null | ---
tags:
- FishingDerby-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: FishingDerby-v5
type: FishingDerby-v5
me... | [
-0.015206148847937584,
-0.007486033719033003,
0.0075560640543699265,
0.037307608872652054,
0.04973314329981804,
0.000860267726238817,
-0.0358663909137249,
-0.035883285105228424,
-0.02982850931584835,
0.07067953795194626,
0.025435123592615128,
-0.018739452585577965,
-0.005173505283892155,
0... |
BigSalmon/PhraseBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 10 | null | ---
tags:
- FishingDerby-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: FishingDerby-v5
type: FishingDerby-v5
me... | [
-0.015586348250508308,
-0.007016659248620272,
0.008281097747385502,
0.03746417537331581,
0.049188967794179916,
0.0005709300166927278,
-0.03620358929038048,
-0.035230450332164764,
-0.029672930017113686,
0.07080543041229248,
0.025180330500006676,
-0.018223769962787628,
-0.005337764509022236,
... |
BigSalmon/Points | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | 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... | 13 | 2023-03-26T00:12:19Z | ---
tags:
- DoubleDunk-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: DoubleDunk-v5
type: DoubleDunk-v5
metrics:... | [
-0.02165873348712921,
-0.0007680486887693405,
0.004648970905691385,
0.02233501337468624,
0.038707904517650604,
-0.019024327397346497,
-0.002595282392576337,
-0.028330156579613686,
-0.020943189039826393,
0.055321406573057175,
0.021185141056776047,
-0.01949879713356495,
0.009948568418622017,
... |
BigSalmon/Robertsy | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 4 | 2023-03-26T00:12:54Z | ---
tags:
- DoubleDunk-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: DoubleDunk-v5
type: DoubleDunk-v5
metrics:... | [
-0.021478397771716118,
-0.0007684580632485449,
0.004766956437379122,
0.022677946835756302,
0.03865676373243332,
-0.019163278862833977,
-0.002510653343051672,
-0.0282419566065073,
-0.02093815989792347,
0.05512513592839241,
0.02143433503806591,
-0.019842755049467087,
0.009671878069639206,
0.... |
BigSalmon/Rowerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 4 | null | ---
tags:
- Freeway-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: Freeway-v5
type: Freeway-v5
metrics:
- ty... | [
-0.01829620823264122,
-0.01455596648156643,
-0.020725267007946968,
0.015718858689069748,
0.03099759668111801,
0.009802134707570076,
-0.016240041702985764,
-0.0048437174409627914,
-0.0306804608553648,
0.06072993203997612,
0.03796859830617905,
-0.012395087629556656,
0.009350210428237915,
0.0... |
BigSalmon/T5F | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | 2023-03-26T00:14:47Z | ---
tags:
- DoubleDunk-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: DoubleDunk-v5
type: DoubleDunk-v5
metrics:... | [
-0.0212156530469656,
-0.0006622181390412152,
0.004795599728822708,
0.022250521928071976,
0.038608748465776443,
-0.01885409839451313,
-0.002855213126167655,
-0.02825678326189518,
-0.02123526856303215,
0.05535511299967766,
0.021396653726696968,
-0.01957034133374691,
0.01012621633708477,
0.02... |
BigSalmon/TS3 | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 7 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
-0.00710943853482604,
0.004920728970319033,
-0.01767035946249962,
0.015282419510185719,
0.05731649324297905,
-0.02931240014731884,
0.009393698535859585,
-0.03156890347599983,
-0.028701474890112877,
0.06788612902164459,
0.024439772590994835,
-0.031386848539114,
-0.005577549804002047,
0.0273... |
BigSalmon/prepositions | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 7 | 2023-03-26T00:25:16Z | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.049949973821640015,
-0.016453241929411888,
-0.008516556583344936,
0.03614576905965805,
0.040838733315467834,
0.0028271302580833435,
-0.021135898306965828,
-0.01047163549810648,
-0.03744567930698395,
0.0575186163187027,
0.024761265143752098,
-0.0036615324206650257,
0.031748056411743164,
... |
BigTooth/DialoGPT-Megumin | [
"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... | 16 | 2023-03-26T00:25:40Z | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.04967503622174263,
-0.01603759452700615,
-0.008736022748053074,
0.036497924476861954,
0.041199106723070145,
0.003123653819784522,
-0.021397989243268967,
-0.010558065958321095,
-0.03799932822585106,
0.05692253261804581,
0.02439033053815365,
-0.002832514001056552,
0.03198268637061119,
0.0... |
BigTooth/DialoGPT-small-tohru | [
"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 | 2023-03-26T00:28:36Z | ---
tags:
- generated_from_trainer
model-index:
- name: smashing-sexism-robert-weighted-final-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# smashing-sexism... | [
-0.030137483030557632,
0.00047060439828783274,
-0.002195416484028101,
0.03718562051653862,
0.03751480579376221,
0.0071991910226643085,
-0.013058806769549847,
-0.019008943811058998,
-0.055864233523607254,
0.05724367871880531,
0.021715229377150536,
-0.0056671560741961,
0.036531712859869,
0.0... |
BigeS/DialoGPT-small-Rick | [
"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 | 2023-03-26T00:30:14Z | ---
tags:
- Tutankham-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: Tutankham-v5
type: Tutankham-v5
metrics:
... | [
-0.008500318042933941,
-0.011277124285697937,
-0.012468668632209301,
0.03037998639047146,
0.045647237449884415,
0.0011399188078939915,
-0.017357978969812393,
-0.0219741053879261,
-0.018889227882027626,
0.06533312052488327,
0.022418873384594917,
-0.01964646205306053,
0.0012306582648307085,
... |
BinksSachary/DialoGPT-small-shaxx | [
"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... | 12 | null | ---
tags:
- Gopher-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: Gopher-v5
type: Gopher-v5
metrics:
- type:... | [
-0.02237728238105774,
0.000896273588296026,
-0.01622355729341507,
0.030607862398028374,
0.051061395555734634,
0.005469856783747673,
-0.004499400500208139,
-0.029587754979729652,
-0.03267678618431091,
0.07199783623218536,
0.019180450588464737,
-0.024871446192264557,
0.006060888525098562,
0.... |
BinksSachary/ShaxxBot | [
"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 | 2023-03-26T00:39:20Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### hftoken Dreambooth model trained by ukeeba 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 [fast-... | [
-0.027940554544329643,
-0.013020386919379234,
-0.026354804635047913,
0.029597749933600426,
0.027156105265021324,
0.014463169500231743,
-0.00026541444822214544,
0.003449898213148117,
-0.01345816534012556,
0.03292081877589226,
0.03313653543591499,
0.013032612390816212,
-0.024516554549336433,
... |
BinksSachary/ShaxxBot2 | [
"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... | 12 | 2023-03-26T00:39:54Z | ---
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... | [
0.006159534677863121,
-0.030099283903837204,
0.002500110073015094,
0.035803645849227905,
0.050648283213377,
0.01382402703166008,
-0.024691393598914146,
-0.017000684514641762,
-0.03288530558347702,
0.04024040326476097,
-0.008281727321445942,
-0.010645044967532158,
-0.0003187209367752075,
0.... |
Blabla/Pipipopo | [] | 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:
- Gopher-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: Gopher-v5
type: Gopher-v5
metrics:
- type:... | [
-0.022225232794880867,
0.00013492125435732305,
-0.01627877540886402,
0.030785512179136276,
0.05116862431168556,
0.005585938226431608,
-0.004682149738073349,
-0.029552122578024864,
-0.03248395770788193,
0.07178109884262085,
0.018592594191432,
-0.02489437162876129,
0.0063590737991034985,
0.0... |
Blaine-Mason/hackMIT-finetuned-sst2 | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer"
] | 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... | 36 | null | ---
tags:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.011953539215028286,
-0.00810913648456335,
-0.011187289841473103,
0.03125074878334999,
0.043451372534036636,
0.0039203655906021595,
-0.009921424090862274,
-0.026917366310954094,
-0.04591561481356621,
0.05377274006605148,
0.03138656169176102,
0.0006421583238989115,
0.015711963176727295,
0... |
Blerrrry/Kkk | [] | 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:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.012140360660851002,
-0.007926341146230698,
-0.01111400593072176,
0.0313987210392952,
0.04410601779818535,
0.003857565578073263,
-0.010516067035496235,
-0.02668333239853382,
-0.04553505778312683,
0.05364866554737091,
0.029803724959492683,
0.0006645826506428421,
0.01616707444190979,
0.040... |
BlightZz/DialoGPT-medium-Kurisu | [
"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... | 19 | null | ---
tags:
- Frostbite-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: Frostbite-v5
type: Frostbite-v5
metrics:
... | [
-0.012145097367465496,
-0.007471712771803141,
-0.011607714928686619,
0.031217606738209724,
0.044041719287633896,
0.003656524233520031,
-0.010227277874946594,
-0.02703084610402584,
-0.04572483152151108,
0.0534757599234581,
0.03127647563815117,
0.0004337062709964812,
0.016139978542923927,
0.... |
BlightZz/MakiseKurisu | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
tags:
- Freeway-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: Freeway-v5
type: Freeway-v5
metrics:
- ty... | [
-0.018143007531762123,
-0.014345142990350723,
-0.020861774682998657,
0.015578685328364372,
0.031081726774573326,
0.00996746588498354,
-0.0162966325879097,
-0.004896059166640043,
-0.030652083456516266,
0.060604386031627655,
0.03815045952796936,
-0.01239757239818573,
0.009660083800554276,
0.... |
BlueGamerBeast/DialoGPT-small-joshua | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Gravitar-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: Gravitar-v5
type: Gravitar-v5
metrics:
-... | [
-0.014880935661494732,
0.0020992436911910772,
-0.027401944622397423,
0.033501047641038895,
0.05003463476896286,
0.0024502857122570276,
-0.01765524409711361,
-0.02242935076355934,
-0.014419172890484333,
0.06642323732376099,
0.02996959164738655,
-0.02402007021009922,
0.009907850064337254,
0.... |
BobBraico/bert-finetuned-ner | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
-0.041913192719221115,
-0.002411218825727701,
-0.005686071235686541,
0.04700139909982681,
0.026212243363261223,
0.020045584067702293,
-0.026802748441696167,
-0.03186472877860069,
-0.005785549990832806,
0.04979271814227104,
0.02034086547791958,
-0.012475077994167805,
0.01829388737678528,
0.... |
BobBraico/distilbert-base-uncased-finetuned-imdb | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- IceHockey-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: IceHockey-v5
type: IceHockey-v5
metrics:
... | [
-0.004949582740664482,
-0.016224220395088196,
-0.013076708652079105,
0.0323563851416111,
0.04653916507959366,
-0.027345048263669014,
-0.01660674624145031,
-0.02123815380036831,
-0.041585616767406464,
0.0541335828602314,
0.013846703805029392,
-0.011712085455656052,
0.025281066074967384,
0.0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.