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
AkshatSurolia/ConvNeXt-FaceMask-Finetuned
[ "pytorch", "safetensors", "convnext", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
image-classification
{ "architectures": [ "ConvNextForImageClassification" ], "model_type": "convnext", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
56
null
--- library_name: stable-baselines3 tags: - Humanoid-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TRPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Humanoid-v3 type: Humanoid-v3 metrics...
[ -0.035531025379896164, -0.016111120581626892, -0.019493620842695236, 0.04957619309425354, 0.053860247135162354, 0.007831105962395668, -0.021536557003855705, -0.026655038818717003, -0.026881849393248558, 0.06273182481527328, 0.021934324875473976, -0.03721306100487709, 0.011846628971397877, ...
AkshatSurolia/DeiT-FaceMask-Finetuned
[ "pytorch", "deit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "DeiTForImageClassification" ], "model_type": "deit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
46
null
--- library_name: stable-baselines3 tags: - Swimmer-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TRPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Swimmer-v3 type: Swimmer-v3 metrics: ...
[ -0.04194553196430206, -0.0241729486733675, -0.01903625763952732, 0.04060367867350578, 0.04281613230705261, -0.0043111275881528854, -0.01944917067885399, -0.01426723413169384, -0.03765956684947014, 0.061824869364500046, 0.007516632322221994, -0.0494496114552021, 0.012317628599703312, -0.002...
AkshatSurolia/ICD-10-Code-Prediction
[ "pytorch", "bert", "transformers", "text-classification", "license:apache-2.0", "has_space" ]
text-classification
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
994
null
--- library_name: stable-baselines3 tags: - Swimmer-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TRPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Swimmer-v3 type: Swimmer-v3 metrics: ...
[ -0.04181421175599098, -0.023643484339118004, -0.01895454153418541, 0.04048950970172882, 0.04239800199866295, -0.004269441124051809, -0.01962282508611679, -0.014177738688886166, -0.03689736872911453, 0.061796631664037704, 0.007976730354130268, -0.049655068665742874, 0.012415241450071335, -0...
AkshaySg/gramCorrection
[ "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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: detr-resnet-50-CD45RB-1000-att results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # detr...
[ -0.02072259783744812, 0.007111848331987858, -0.017902616411447525, 0.022561468183994293, 0.03786908835172653, 0.018443599343299866, -0.03475579991936684, -0.009098506532609463, -0.04317307472229004, 0.05802712216973305, 0.01507247518748045, -0.03829050809144974, 0.023350751027464867, 0.026...
AkshaySg/langid
[ "multilingual", "dataset:VoxLingua107", "speechbrain", "audio-classification", "embeddings", "Language", "Identification", "pytorch", "ECAPA-TDNN", "TDNN", "VoxLingua107", "license:apache-2.0" ]
audio-classification
{ "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...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04074922949075699, -0.0011679561575874686, -0.007557947654277086, 0.04916033521294594, 0.029144862666726112, 0.021703533828258514, -0.025527246296405792, -0.03661949187517166, -0.005521499086171389, 0.04942480847239494, 0.018328677862882614, -0.00890322681516409, 0.020901929587125778, 0...
Al/mymodel
[]
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: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017903869971632957, -0.01748974435031414, -0.006873870734125376, 0.03077048808336258, 0.05091295763850212, -0.018502989783883095, -0.011138941161334515, -0.010179830715060234, -0.0595509298145771, 0.05472154915332794, -0.0021588581148535013, -0.009552067145705223, 0.02546217106282711, 0...
AlErysvi/Erys
[]
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: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.020168839022517204, -0.015534259378910065, -0.007398887071758509, 0.02683270536363125, 0.04671419784426689, -0.0021858783438801765, -0.019083429127931595, 0.0053512039594352245, -0.03783176839351654, 0.053387802094221115, 0.0162416510283947, -0.007375061046332121, 0.011914465576410294, ...
Alaeddin/convbert-base-turkish-ner-cased
[ "pytorch", "convbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ConvBertForTokenClassification" ], "model_type": "convbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
9
null
--- language: en license: mit datasets: - ronig/pdb_sequences --- # PDB Protein BPE Tokenizer A protein sequence tokenizer trained on [PDB Sequences](https://huggingface.co/datasets/ronig/pdb_sequences) with `vocabulary size = 1024`
[ -0.052213139832019806, -0.014878852292895317, 0.025877365842461586, 0.03812799230217934, 0.04319608584046364, 0.02198433317244053, 0.009565201587975025, 0.003706648014485836, -0.027157476171851158, 0.03218866139650345, -0.0008591444930061698, 0.013357185758650303, 0.012924540787935257, 0.0...
AlbertHSU/ChineseFoodBert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
15
null
--- 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 ...
[ -0.04000508412718773, -0.016750751063227654, -0.015138603746891022, 0.03622209653258324, 0.049019839614629745, -0.005996127612888813, -0.014130814000964165, -0.0233586598187685, -0.029113871976733208, 0.05411854758858681, 0.020966939628124237, -0.030976003035902977, 0.017308032140135765, 0...
Alberto15Romero/GptNeo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - CarRacing-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CarRacing-v0 type: CarRacing-v0 metri...
[ -0.030356543138623238, -0.011623714119195938, -0.02069704793393612, 0.040685951709747314, 0.03961493447422981, -0.0008550455095246434, 0.0015185156371444464, -0.014862331561744213, -0.04100001975893974, 0.06401654332876205, 0.025361165404319763, -0.051867466419935226, 0.008971025235950947, ...
Aleenbo/Arcane
[]
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: - CarRacing-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CarRacing-v0 type: CarRacing-v0 metri...
[ -0.03010701574385166, -0.012100344523787498, -0.02037023939192295, 0.040649984031915665, 0.03966118395328522, -0.0006515680579468608, 0.0011422111419960856, -0.014614524319767952, -0.041119784116744995, 0.06398039311170578, 0.0251564122736454, -0.051702722907066345, 0.00914392713457346, -0...
Aleksandar/bert-srb-base-cased-oscar
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- library_name: stable-baselines3 tags: - CarRacing-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CarRacing-v0 type: CarRacing-v0 metri...
[ -0.0304592102766037, -0.011682538315653801, -0.02020859532058239, 0.04073777794837952, 0.03962773457169533, -0.0006262176902964711, 0.0013042198261246085, -0.014953902922570705, -0.04127250239253044, 0.0641469955444336, 0.025513632223010063, -0.05144897848367691, 0.00866910070180893, -0.00...
Aleksandar/bert-srb-ner
[ "pytorch", "bert", "token-classification", "dataset:wikiann", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
4
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BipedalWalkerHardcore-v3 type...
[ -0.04582257568836212, -0.005257878918200731, -0.02183782495558262, 0.031632035970687866, 0.03650359809398651, 0.01604597643017769, 0.0010203091660514474, -0.023321980610489845, -0.029155058786273003, 0.06946653872728348, 0.026098953559994698, -0.04017141833901405, 0.0054354132153093815, 0....
Aleksandar/distilbert-srb-base-cased-oscar
[ "pytorch", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
4
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BipedalWalkerHardcore-v3 type...
[ -0.04595702886581421, -0.005157419014722109, -0.02230875752866268, 0.031604643911123276, 0.036109354346990585, 0.016307564452290535, 0.0009959067683666945, -0.023703863844275475, -0.02915775217115879, 0.06944487243890762, 0.02710149437189102, -0.03987268730998039, 0.005370618775486946, 0.0...
Aleksandar1932/gpt2-pop
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: RecurrentPPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BipedalWalkerHardcore-v3 ...
[ -0.037248674780130386, -0.005321495700627565, -0.02500358410179615, 0.03377925604581833, 0.03687788173556328, 0.01684936322271824, 0.007544525898993015, -0.025761745870113373, -0.022899029776453972, 0.06722861528396606, 0.02774750627577305, -0.051979660987854004, 0.010006899945437908, 0.01...
Aleksandar1932/gpt2-rock-124439808
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- 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...
[ -0.04142186418175697, -0.0021065070759505033, 0.014576384797692299, 0.039529718458652496, 0.024138925597071648, -0.010799644514918327, -0.009114548563957214, -0.02648703008890152, -0.03913212940096855, 0.05623440444469452, 0.03752240538597107, 0.0041042775847017765, 0.01647069677710533, 0....
Aleksandar1932/gpt2-soul
[ "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...
10
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: RecurrentPPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BipedalWalkerHardcore-v3 ...
[ -0.03801962733268738, -0.004906955640763044, -0.024739427492022514, 0.0331839919090271, 0.03605159372091293, 0.01669969968497753, 0.007950405590236187, -0.025505749508738518, -0.02308334782719612, 0.06738119572401047, 0.02747134305536747, -0.05229097977280617, 0.009791391901671886, 0.01228...
AlekseyKorshuk/bert
[ "pytorch", "distilbert", "text-classification", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: RecurrentPPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BipedalWalkerHardcore-v3 ...
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Alessandro/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - Ant-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ARS results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Ant-v3 type: Ant-v3 metrics: - type: me...
[ -0.04484941437840462, -0.00601255614310503, -0.022379005327820778, 0.05220417678356171, 0.048432495445013046, 0.008626366034150124, -0.017571253702044487, -0.025500252842903137, -0.02637181244790554, 0.06927164644002914, 0.019174503162503242, -0.03814571350812912, 0.002897670492529869, 0.0...
Alfia/anekdotes
[]
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: - Walker2d-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TD3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Walker2d-v3 type: Walker2d-v3 metrics:...
[ -0.03687122464179993, -0.0031173843890428543, -0.018563369289040565, 0.048190973699092865, 0.042377036064863205, 0.019241731613874435, -0.002869965974241495, -0.0060999635607004166, -0.03959459811449051, 0.07072283327579498, 0.02494047023355961, -0.04007354751229286, 0.003925490193068981, ...
Alifarsi/t5-small-finetuned-xsum
[]
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: - Hopper-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TD3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Hopper-v3 type: Hopper-v3 metrics: -...
[ -0.03391025960445404, -0.007331782020628452, -0.019029458984732628, 0.04745980352163315, 0.040392085909843445, 0.0027825096622109413, -0.006950963754206896, -0.01787549816071987, -0.03985876590013504, 0.0652097761631012, 0.021981457248330116, -0.03891418129205704, 0.010462448000907898, 0.0...
Aliraza47/BERT
[]
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: - Hopper-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TD3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Hopper-v3 type: Hopper-v3 metrics: -...
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Aliskin/xlm-roberta-base-finetuned-marc
[]
null
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0
null
--- library_name: stable-baselines3 tags: - Humanoid-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TD3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Humanoid-v3 type: Humanoid-v3 metrics:...
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Aliyyu/Keren
[]
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: - Walker2d-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TD3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Walker2d-v3 type: Walker2d-v3 metrics:...
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Amit29/t5-small-finetuned-xsum
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - stable-diffusion --- 𝓢𝓾𝓹𝓹𝓸𝓻𝓽 𝓜𝓮 𝓞𝓷\ 🧋[**Buymeacoffee**](https://www.buymeacoffee.com/TheSkinnyRat) |☕[**Ko-Fi**](https://ko-fi.com/TheSkinnyRat) |🍵[**Saweria**](https://saweria.co/TheSkinnyRat) # Info > **Author:** [TheSkinnyRat](https://huggingface.co/TheSkinny...
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Andres2015/HiggingFaceTest
[]
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: - Humanoid-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TQC results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Humanoid-v3 type: Humanoid-v3 metrics:...
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AndrewChar/model-QA-5-epoch-RU
[ "tf", "distilbert", "question-answering", "ru", "dataset:sberquad", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
109
2023-02-28T17:00:15Z
--- 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...
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AnonymousSub/AR_rule_based_roberta_only_classfn_epochs_1_shard_10
[ "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...
2
null
--- license: openrail --- ### Check README.md ## 🦒 Backup | Checkpoint Name | File Name | IPFS Link | --- | --- | --- | Chilloutmix |chilloutmix_NiPrunedFp32fix.safetensors | https://crustipfs.live/ipfs/QmPdAvVLWQYWoyRQ5yw6ahoZAH3CtwbL3srgwA1fHZpyaE?filename=chilloutmix_NiPrunedFp32fix.safetensors Anything | anything-...
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AnonymousSub/AR_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...
5
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: active_learn_econ 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. --> ...
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AnonymousSub/SR_cline
[ "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...
6
null
--- language: - en tags: - pytorch - causal-lm - pythia license: apache-2.0 datasets: - the_pile --- The *Pythia Scaling Suite* is a collection of models developed to facilitate interpretability research. It contains two sets of eight models of sizes 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, the...
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AnonymousSub/SR_consert
[ "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...
2
null
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-remittance 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. -->...
[ -0.03784441202878952, -0.017230339348316193, -0.001537141390144825, 0.026103705167770386, 0.018210014328360558, 0.01464666798710823, 0.015777207911014557, 0.006475632544606924, -0.014434989541769028, 0.03162863478064537, 0.042777061462402344, -0.02815995365381241, 0.021222136914730072, 0.0...
AnonymousSub/SR_rule_based_roberta_hier_quadruplet_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...
2
2023-02-28T19:14:56Z
--- license: apache-2.0 language: - hu metrics: - accuracy model-index: - name: huBERTPlain results: - task: type: text-classification metrics: - type: f1 value: 0.91 widget: - text: "A vegetációs időben az országban rendszeresen jelentkező jégesők ellen is van mód védekezni lokálisan, ki-ki...
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AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "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...
5
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
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AnonymousSub/SR_rule_based_roberta_hier_triplet_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...
1
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
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AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_10
[ "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...
6
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 ...
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10
[ "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...
1
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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AnonymousSub/bert_snips
[ "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...
5
2023-02-28T20:18:31Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: t5-small-finetuned-xsum results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum type: samsum config: samsum s...
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AnonymousSub/bert_triplet_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...
2
2023-02-28T20:18:37Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-8800-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.01592746376991272, -0.009243817068636417, -0.02957337163388729, 0.04554839804768562, 0.03717021644115448, 0.03604086861014366, -0.020050527527928352, -0.021695489063858986, -0.037124693393707275, 0.06529179960489273, 0.042920585721731186, -0.01696319319307804, 0.022754350677132607, 0.04...
AnonymousSub/cline-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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AnonymousSub/cline_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
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 ...
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AnonymousSub/consert-techqa
[ "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: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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AnonymousSub/declutr-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.48 +/- 2.70...
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AnonymousSub/declutr-model
[ "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
2023-02-28T20:55:27Z
--- 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 ...
[ -0.03688278794288635, -0.0025010050740092993, -0.004728957079350948, 0.025705914944410324, 0.045502256602048874, -0.021281415596604347, -0.00477556511759758, -0.028279002755880356, -0.03392291069030762, 0.06657520681619644, 0.032838430255651474, -0.023671194911003113, 0.02281815931200981, ...
AnonymousSub/declutr-model_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03700704872608185, -0.0026746292132884264, -0.005313517991453409, 0.026082949712872505, 0.045774903148412704, -0.021900292485952377, -0.005221502389758825, -0.028700318187475204, -0.033281438052654266, 0.06632659584283829, 0.03314341977238655, -0.02348516322672367, 0.022480137646198273, ...
AnonymousSub/declutr-model_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
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 ...
[ -0.04618598148226738, -0.001180507242679596, -0.02164992317557335, 0.03211764618754387, 0.043537724763154984, 0.01814279519021511, -0.01849322021007538, -0.03054400160908699, -0.03746745362877846, 0.06907229870557785, 0.020911166444420815, 0.0028135713655501604, 0.015449730679392815, 0.027...
AnonymousSub/declutr-roberta-papers
[ "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
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.025892356410622597, -0.025610145181417465, -0.019477607682347298, 0.06135702505707741, 0.02970421127974987, 0.03321204334497452, -0.017642010003328323, 0.009601755067706108, -0.06432020664215088, 0.08146940916776657, 0.028870422393083572, 0.012987380847334862, 0.006983715109527111, 0.03...
AnonymousSub/declutr-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Renforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-...
[ -0.037880945950746536, 0.015694105997681618, 0.011616112664341927, 0.017576901242136955, 0.048950932919979095, -0.0096887843683362, -0.02083071880042553, -0.023689553141593933, -0.01739584468305111, 0.06680213660001755, 0.0346994586288929, -0.0024306525010615587, 0.010702337138354778, -0.0...
AnonymousSub/declutr-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.0405837707221508, 0.015801936388015747, 0.014477226883172989, 0.01697567291557789, 0.048480432480573654, -0.013713403604924679, -0.020306121557950974, -0.023501835763454437, -0.016988404095172882, 0.06828372925519943, 0.03644976764917374, -0.00671271700412035, 0.011822415515780449, -0.0...
AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metrics: ...
[ -0.020349105820059776, -0.014182967133820057, -0.005322406534105539, 0.03312436863780022, 0.04584211856126785, -0.01506529189646244, -0.009865015745162964, -0.012779004871845245, -0.059723109006881714, 0.05398743972182274, 0.002521228976547718, -0.008911851793527603, 0.022694477811455727, ...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "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...
8
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: imagefolder metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # ddpm-pokemons...
[ -0.011715338565409184, -0.01288116630166769, 0.0008147584740072489, 0.02454139105975628, 0.02577425166964531, 0.006855105049908161, 0.01769338734447956, -0.015176460146903992, -0.018763195723295212, 0.05135562643408775, 0.019946474581956863, -0.0046287174336612225, 0.008754139766097069, 0....
AnonymousSub/rule_based_roberta_hier_triplet_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...
4
null
--- license: apache-2.0 tags: - text2text-generation - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-base_aspect results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.02324557863175869, -0.01768810860812664, -0.0019716094247996807, 0.03432878479361534, 0.036867428570985794, -0.01639357954263687, -0.016159137710928917, -0.008463547565042973, -0.033531658351421356, 0.03709707036614418, 0.005034242291003466, -0.02650182880461216, 0.009002837352454662, 0...
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_10
[ "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...
6
2023-02-28T22:46:41Z
--- datasets: - SirNeural/flan_v2 metrics: - perplexity tags: - flan - opt - peft --- ## ptune-FLAN-OPT-6.7b OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github.com/facebookresearch/metaseq) on May 3rd...
[ -0.015404722653329372, -0.003015985479578376, -0.0017687452491372824, 0.04950019344687462, 0.02829568274319172, 0.027233881875872612, -0.020080706104636192, 0.0019311043433845043, -0.023024624213576317, 0.029439236968755722, 0.05820045620203018, 0.018947215750813484, -0.00907523836940527, ...
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-02-28T22:48:01Z
--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: fedcsis-intent_baseline-xlm_r-leyzer_en results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.027670055627822876, -0.007501230575144291, -0.0037977825850248337, 0.028367625549435616, 0.03175288811326027, 0.023842748254537582, -0.013659616932272911, -0.01665308140218258, -0.027840180322527885, 0.06163741275668144, 0.0193129014223814, -0.04254201427102089, 0.01745837926864624, 0.0...
AnonymousSub/rule_based_twostage_quadruplet_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...
30
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-large-t5large-English-to-BASH results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # t5...
[ -0.022811759263277054, 0.0018793483031913638, 0.008270355872809887, 0.047051604837179184, 0.038533229380846024, -0.012684592045843601, -0.023310627788305283, -0.026434922590851784, -0.028487849980592728, 0.04837072268128395, 0.017811547964811325, -0.017671966925263405, 0.009406007826328278, ...
AnthonyNelson/DialoGPT-small-ricksanchez
[ "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
2023-03-01T00:56:57Z
## Pretraining Without Attention(BiGS) <br> ## Official JAX Models with maximal sequence length 512<br> ### [Paper](https://arxiv.org/abs/2212.10544) | [![Hugging Face Hub](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Hub-blue)](https://huggingface.co/JunxiongWang) | [![Open In Colab](https://colab.res...
[ -0.053355056792497635, -0.01589076966047287, -0.023994004353880882, 0.03111524134874344, 0.007883802056312561, 0.028840187937021255, -0.02001541294157505, -0.025287555530667305, -0.009876820258796215, 0.04102175682783127, 0.019921956583857536, -0.031009789556264877, 0.0045814113691449165, ...
Anthos23/my-awesome-model
[ "pytorch", "tf", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
2023-03-01T01:29:54Z
--- license: creativeml-openrail-m --- 这是自用的采集目录,非原创,勿下载传播
[ -0.04024164378643036, 0.003556309500709176, -0.026398837566375732, -0.009008197113871574, 0.04218563437461853, 0.015177895314991474, -0.00020607605983968824, -0.0010749822249636054, -0.018860487267374992, 0.0413302481174469, 0.030488941818475723, 0.013770380057394505, 0.028445648029446602, ...
Anthos23/sentiment-roberta-large-english-finetuned-sentiment-analysis
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_small_A-finetuned-xsum 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....
[ -0.013700737617909908, -0.009632409550249577, 0.0148893678560853, 0.023889068514108658, 0.03245941549539566, -0.005174368154257536, -0.033748507499694824, -0.011449583806097507, -0.041785404086112976, 0.04569608345627785, 0.023212283849716187, -0.01695360243320465, 0.00378839997574687, 0.0...
ArBert/albert-base-v2-finetuned-ner-gmm-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-03-01T01:57:17Z
--- license: creativeml-openrail-m --- This is a 50/50 weight merge of KoboldAI's adventure based language model GPT-J-6B-Skein, and PygmalionAI's Pygmalion-6b. https://huggingface.co/KoboldAI/GPT-J-6B-Skein https://huggingface.co/PygmalionAI/pygmalion-6b
[ -0.06643984466791153, -0.015614806674420834, -0.02403595671057701, 0.021732352674007416, 0.0712050199508667, 0.017226167023181915, 0.009177946485579014, -0.001152755576185882, -0.005501900799572468, 0.05296625941991806, 0.031679391860961914, 0.0041492474265396595, -0.006747235544025898, 0....
ArBert/albert-base-v2-finetuned-ner-gmm
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: creativeml-openrail-m tags: - not-for-all-audiences ---
[ -0.03508850932121277, 0.013792763464152813, -0.023472459986805916, -0.009312022477388382, 0.0574774444103241, 0.02388629876077175, -0.021230651065707207, 0.014392269775271416, -0.023401381447911263, 0.036770451813936234, 0.027115778997540474, 0.004441429860889912, 0.01945120096206665, 0.05...
ArBert/bert-base-uncased-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
6
2023-03-01T02:22:46Z
--- language: - en datasets: - English tags: - text generation - pytorch - causal-lm - Writer-data - NeMo pipeline_tag: text-generation library_name: transformers license: apache-2.0 --- license: cc-by-4.0 # Palmyra 3B <style> img { display: inline; } </style> |[![Model architecture](https://img.shields.io/badge/...
[ -0.010643796063959599, -0.009868157096207142, -0.02611895278096199, 0.06878745555877686, 0.046320218592882156, 0.026232069358229637, 0.002703980077058077, -0.013499285094439983, -0.0273010041564703, 0.06794611364603043, 0.026403887197375298, -0.026709625497460365, -0.034491848200559616, 0....
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
2023-03-01T02:25:45Z
--- license: mit tags: - generated_from_trainer model-index: - name: xlm-roberta-base-finetuned-visquad-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. --> # xlm-r...
[ -0.04224037379026413, -0.01721612922847271, 0.008622915484011173, 0.003949593286961317, 0.015601572580635548, 0.02710122987627983, -0.02528534270823002, -0.004884042777121067, -0.019678562879562378, 0.031356967985630035, 0.03684466332197189, -0.02497352473437786, 0.02135263755917549, 0.035...
ArBert/roberta-base-finetuned-ner-kmeans-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_...
10
2023-03-01T02:33:17Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: rkulathumani/my_awesome_wnut_model results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> #...
[ -0.04390691965818405, -0.01950208470225334, -0.0042565385811030865, 0.024282995611429214, 0.0327635258436203, 0.020233381539583206, -0.017643654718995094, -0.025639904662966728, -0.021948933601379395, 0.06886783987283707, 0.031626150012016296, -0.014007438905537128, 0.0038223271258175373, ...
ArBert/roberta-base-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "roberta", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:mit", "model-index", "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_...
8
null
--- language: - en tags: - glm - thudm --- GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language understanding and generation tasks. Please refer to our paper for a detailed description of GLM: [GLM: General Language Model Pretrainin...
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Aracatto/Catto
[]
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
2023-03-01T02:44:26Z
--- tags: - espnet - audio - automatic-speech-recognition language: es datasets: - fisher_callhome_spanish license: cc-by-4.0 --- ## ESPnet2 ASR model ### `pyf98/fisher_callhome_spanish_conformer` This model was trained by Yifan Peng using fisher_callhome_spanish recipe in [espnet](https://github.com/espnet/espnet/...
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ArseniyBolotin/bert-multi-PAD-ner
[ "pytorch", "jax", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
11
2023-03-01T04:13:06Z
--- tags: - frozenlake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-learning-frozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: frozenlake-v1-4x4 type: frozenlake-v1-4x4 ...
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ArshdeepSekhon050/DialoGPT-medium-RickAndMorty
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - zh tags: - glm - thudm --- GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language understanding and generation tasks. Please refer to our paper for a detailed description of GLM: [GLM: General Language Model Pretrainin...
[ -0.03725193068385124, -0.009575091302394867, 0.015474376268684864, 0.06109368056058884, 0.03147030994296074, 0.027494341135025024, -0.021444305777549744, -0.018511146306991577, -0.014014825224876404, 0.06819579750299454, 0.01713692583143711, -0.02060874179005623, 0.013877365738153458, 0.02...
Aruden/DialoGPT-medium-harrypotterall
[ "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...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
[ -0.0068763624876737595, 0.002390436362475157, -0.025982923805713654, 0.039954088628292084, 0.04743056371808052, 0.014456056989729404, -0.03198903799057007, -0.024301253259181976, -0.027737388387322426, 0.054389432072639465, 0.006624867208302021, -0.012882237322628498, 0.018726496025919914, ...
ArvinZhuang/BiTAG-t5-large
[ "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...
4
2023-03-01T04:23:41Z
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # ChilloutMixSF API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/19728651601677644526.png) ## Get AP...
[ -0.0322888046503067, -0.03522089868783951, -0.0123435752466321, 0.015519959852099419, 0.0451316311955452, 0.026654552668333054, -0.019547319039702415, 0.009244993329048157, -0.011052168905735016, 0.05943233519792557, 0.04214644804596901, 0.009593063965439796, 0.023329729214310646, 0.034277...
AshiNLP/Bert_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
2023-03-01T04:35:00Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-learning-taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 8.01...
[ -0.01955791562795639, -0.018030721694231033, -0.007242145482450724, 0.03001772239804268, 0.04730691388249397, -0.002832162193953991, -0.020905792713165283, 0.004944684449583292, -0.03801542520523071, 0.05636698007583618, 0.013363616541028023, -0.009475418366491795, 0.01182914711534977, 0.0...
AshtonBenson/DialoGPT-small-quentin
[]
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
2023-03-01T04:43:54Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - mic metrics: - accuracy - f1 - precision - recall model-index: - name: my_awesome_model results: - task: name: Text Classification type: text-classification dataset: name: mic type: mic config: MIC split: test...
[ -0.016524160280823708, -0.014538158662617207, -0.007766566704958677, 0.028708403930068016, 0.0247308611869812, 0.020239459350705147, -0.021236589178442955, -0.03570926934480667, -0.019330620765686035, 0.06941702961921692, 0.027184847742319107, -0.0018006323371082544, 0.004676547832787037, ...
Atlasky/Turkish-Negator
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - zh license: apache-2.0 tags: - chinese poem - 中文 - 写诗 - 唐诗 - 宋词 widget: - text: "作诗:百花</s>模仿:李清照" --- # 一个好玩的中文AI写诗模型V2 - V1 2022 check https://huggingface.co/hululuzhu/chinese-poem-t5-mengzi-finetune - 两种模式仿写唐宋古诗 - 无特定风格输入格式 `作诗:您的标题`,比如 `作诗:秋思` - 无特定风格输入格式 `作诗:您的标题</s>模仿:唐宋诗人名字`,比如...
[ -0.03827390447258949, -0.027025554329156876, 0.01951914280653, 0.03721553832292557, 0.019099915400147438, 0.012626267038285732, -0.014537896029651165, -0.021016951650381088, -0.030109459534287453, 0.03937593847513199, 0.03519391268491745, 0.008963856846094131, 0.03589420020580292, 0.031000...
Augustvember/WokkaBot
[]
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
2023-03-01T05:42:03Z
--- license: bsd-3-clause --- # CodeGen (CodeGen-NL 16B) ## Sharded version of codegen This model was sharded using torch.float16. Use the code below to load this model, configure the device_map for your GPU/CPU split. First pull the model. ```bash git clone https://huggingface.co/abacaj/codegen-16B-nl-sharded cd c...
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Augustvember/WokkaBot2
[]
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
2023-03-01T05:42:39Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: my_awesome_qa_model 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. --> ...
[ -0.025807229802012444, -0.025956658646464348, -0.010696524754166603, 0.04828431457281113, 0.045335303992033005, 0.011703547090291977, -0.011412755586206913, 0.008824797347187996, -0.027174754068255424, 0.05020028352737427, 0.025291498750448227, 0.005297413561493158, 0.0006031364900991321, ...
Augustvember/WokkaBot6
[]
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
2023-03-01T06:01:50Z
--- 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...
[ -0.021788237616419792, -0.005183249246329069, 0.010505818761885166, 0.03902503848075867, 0.03203950449824333, 0.015344453975558281, -0.027890615165233612, -0.015395618975162506, -0.015567663125693798, 0.06144773215055466, 0.006806718651205301, 0.0006651533767580986, 0.010805166326463223, 0...
Augustvember/wokka2
[ "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
2023-03-01T06:19:35Z
--- tags: - autotrain - summarization language: - en widget: - text: "I love AutoTrain 🤗" datasets: - KoddaDuck/autotrain-data-text-summa co2_eq_emissions: emissions: 0.00490034117291842 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 38210101164 - CO2 Emissions (in grams): 0.0049 ##...
[ -0.01770791783928871, -0.016152283176779747, 0.0065785739570856094, 0.023766644299030304, 0.03850017115473747, 0.012198278680443764, -0.027972795069217682, -0.02793988212943077, -0.04734015837311745, 0.07791105657815933, 0.01741482876241207, 0.0200261902064085, 0.01449594460427761, 0.03561...
Awsaf/large-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...
10
null
--- license: mit tags: - generated_from_trainer model-index: - name: Vi-test1 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. --> # Vi-test1 This model is a fine-tu...
[ -0.04009826108813286, -0.01898295059800148, 0.003273859852924943, 0.024029025807976723, 0.016998281702399254, 0.020447319373488426, -0.00669485330581665, -0.017389312386512756, -0.037214312702417374, 0.04665391892194748, 0.021454881876707077, -0.009004820138216019, 0.03287245333194733, 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
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
[ -0.0069778719916939735, 0.0024432095233350992, -0.028058715164661407, 0.03884684666991234, 0.05366562679409981, 0.01119974348694086, -0.03170567750930786, -0.026474885642528534, -0.027208968997001648, 0.05555541068315506, 0.000713723711669445, -0.013571308925747871, 0.011807581409811974, 0...
Ayato/DialoGTP-large-Yuri
[]
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: gpl-3.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: bert-base-chinese-finetuned-ner_0301_J_DATA results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofrea...
[ -0.027678029611706734, -0.001364135998301208, -0.0027190931141376495, 0.03562545031309128, 0.027223633602261543, 0.012068403884768486, -0.01913067325949669, -0.030153196305036545, -0.048078689724206924, 0.042954545468091965, 0.013560608960688114, -0.032073840498924255, 0.026498960331082344, ...
Ayham/bert_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...
6
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2.73...
[ -0.020913515239953995, -0.015681907534599304, -0.007584123872220516, 0.029167821630835533, 0.04657730832695961, -0.0014574360102415085, -0.01872389018535614, 0.0029673585668206215, -0.04048512876033783, 0.05613989755511284, 0.01149042509496212, -0.012231951579451561, 0.010551088489592075, ...
Ayham/bert_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
null
--- thumbnail: https://i.imgur.com/cZMzjI6.png license: creativeml-openrail-m datasets: - Korakoe/OpenNiji-V2-Dataset language: - en pipeline_tag: text-to-image tags: - OpenNiji - Stable Diffusion - Anime - Niji - Nijijourney - Stylised --- ![Logo](https://i.imgur.com/cZMzjI6.png) # OpenNiji-V2 The **NEW** Stable Di...
[ -0.01429514680057764, -0.04297691956162453, -0.013701220974326134, 0.03741893172264099, 0.05430982634425163, -0.008905739523470402, 0.010646971873939037, 0.004419283010065556, -0.026568463072180748, 0.05018408223986626, 0.008666625246405602, -0.017825007438659668, 0.018909508362412453, 0.0...
Ayham/bertgpt2_cnn
[ "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
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...
[ -0.022530190646648407, -0.005942468997091055, 0.011643472127616405, 0.03854909911751747, 0.03130713850259781, 0.015343762934207916, -0.029023895040154457, -0.01511234138160944, -0.014891203492879868, 0.060608766973018646, 0.006875037681311369, 0.0011055456707254052, 0.01037149503827095, 0....
BSC-LT/roberta-base-biomedical-clinical-es
[ "pytorch", "roberta", "fill-mask", "es", "arxiv:2109.03570", "arxiv:2109.07765", "transformers", "biomedical", "clinical", "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...
27
null
--- license: openrail++ language: - en library_name: diffusers pipeline_tag: text-to-image tags: - art --- ![image](https://raw.githubusercontent.com/caacoe/ID_resource/ae7c7cf72526bc89a4bdc027877badf5d783ba05/CaitlinCross.png) <sub>studio photo closeup portrait victorian (woman1-420:1.3) with blue eyes and red hair we...
[ -0.006620480678975582, -0.02272501401603222, -0.003431319957599044, 0.029771747067570686, 0.03527247905731201, 0.0003180520434398204, -0.014921118505299091, 0.0000965310973697342, -0.004549304489046335, 0.036788057535886765, 0.021412862464785576, 0.0006426041363738477, -0.0015658119227737188...
BSC-LT/roberta-base-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "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...
594
2023-03-01T09:29:40Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0321989543735981, 0.01844366081058979, 0.0033426813315600157, 0.008161252364516258, 0.04424279183149338, -0.020240165293216705, -0.023479627445340157, -0.016958575695753098, -0.032236337661743164, 0.08558143675327301, 0.018067579716444016, -0.010222003795206547, 0.017235340550541878, 0....
BSC-LT/roberta-large-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
15
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: RL3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_slippery ...
[ -0.017246698960661888, -0.017903918400406837, -0.005152753088623285, 0.02584490180015564, 0.05234740301966667, -0.018147533759474754, -0.014291809871792793, -0.008828163146972656, -0.05905402824282646, 0.053937725722789764, -0.0005089406622573733, -0.010692354291677475, 0.022996770218014717,...
BSen/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- language: - vi metrics: - f1 pipeline_tag: token-classification tags: - transformer - vietnamese - nlp - bert - deberta - deberta-v3 --- # ViDeBERTa: A powerful pre-trained language model for Vietnamese ViDeBERTa, a new pre-trained monolingual language model for Vietnamese, with three versions - ViDeBERTa_xsmal...
[ -0.011967415921390057, -0.035968851298093796, 0.02158760279417038, 0.027188802137970924, 0.029612170532345772, 0.009533429518342018, -0.005549494177103043, -0.015155886299908161, -0.02876492589712143, 0.047116246074438095, 0.026801519095897675, -0.0412864126265049, -0.011347981169819832, 0...
BW/TEST
[ "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
--- library_name: stable-baselines3 tags: - assembly-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: SAC results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: assembly-v2 type: assembly-v2 metrics:...
[ -0.03650901839137077, -0.006950021721422672, -0.01986919902265072, 0.04982157424092293, 0.0505986288189888, 0.006957233417779207, -0.01033055130392313, -0.008006456308066845, -0.041564956307411194, 0.06591247767210007, 0.03118775598704815, -0.025190366432070732, 0.006493748631328344, 0.010...
Bagus/SER-LSSED
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.032816823571920395, -0.002472278429195285, -0.019679127261042595, 0.05116576328873634, 0.03925548493862152, 0.026051199063658714, -0.002064207335934043, -0.036419931799173355, -0.027127496898174286, 0.04755720868706703, 0.023645827546715736, -0.0052187684923410416, 0.020191624760627747, ...
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
2023-03-01T10:00:06Z
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: ja datasets: - lmqg/qg_jaquad pipeline_tag: text2text-generation tags: - question answering widget: - text: "question: 新型車両として6000系が構想されたのは、製造費用のほか、どんな費用を抑えるためだったの?, context: 三多摩地区開発による沿線人口の増加、相模原線延伸による多摩ニュータウン乗り入れ、都営地下鉄10号線(...
[ 0.02312028408050537, -0.01554048527032137, -0.02545975148677826, 0.032291777431964874, 0.0422343909740448, -0.011479365639388561, -0.022257862612605095, -0.017533933743834496, -0.0583210214972496, 0.04112621024250984, 0.004396225791424513, -0.0007704846211709082, 0.011960559524595737, 0.03...
Banshee/LukeSkywalker
[]
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-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05015427619218826, 0.006180588621646166, -0.008235749788582325, 0.059455711394548416, 0.02869066223502159, 0.031185364350676537, -0.004327858332544565, -0.0325453020632267, -0.005921870470046997, 0.05258357152342796, 0.019768230617046356, -0.012996758334338665, 0.007087858859449625, 0.0...
Banshee/dialoGPT-small-luke
[]
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: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - Sarwar242/autotrain-data-fake-reviews-labelling co2_eq_emissions: emissions: 0.012510004345691475 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 37433101195 - CO2 Emiss...
[ -0.02102654054760933, -0.02561432123184204, -0.009020081721246243, 0.0424942746758461, 0.03749046474695206, 0.03229312226176262, -0.03834523260593414, -0.0066451565362513065, -0.038828786462545395, 0.08147472143173218, 0.025467798113822937, 0.01972278766334057, -0.005511763971298933, 0.035...
Barleysack/AERoberta
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola ...
[ -0.017233505845069885, 0.012873342260718346, -0.01903221756219864, 0.042003363370895386, 0.06897401064634323, 0.022111646831035614, -0.029153143987059593, -0.02722311019897461, -0.044639021158218384, 0.060592688620090485, 0.03250532224774361, -0.010516221635043621, 0.0214223712682724, 0.03...
Barleysack/klue-roberta-LSTM
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "QAWithLSTMModel" ], "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_s...
6
null
--- license: apache-2.0 language: - fr tags: - flan-t5 - qa - lfqa - information retrieval datasets: - vblagoje/lfqa metrics: - rouge model-index: - name: flan-t5-large-lfqa-fr results: [] widget: - text: >- question: Comment fonctionne un modèle de langue ? Que signifi un modèle de qu...
[ 0.018198026344180107, -0.0260720644146204, -0.015206839889287949, 0.04701371490955353, 0.0277735386043787, 0.008897035382688046, -0.003959006629884243, -0.024823009967803955, -0.024487415328621864, 0.03785068914294243, 0.03834400698542595, -0.005151181016117334, -0.00451136939227581, 0.041...
Battlehooks/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: hBERTv2_qqp results: - task: name: Text Classification type: text-classification dataset: name: GLUE QQP type: glue config: qqp split: validation args: qqp ...
[ 0.0008383081294596195, -0.01573273353278637, -0.012128324247896671, 0.0447084978222847, 0.06295327842235565, 0.006280446890741587, 0.0029323450289666653, -0.01693711429834366, -0.04066218435764313, 0.03762899711728096, -0.0016424888744950294, -0.01810372807085514, 0.01521691121160984, 0.04...
BeIR/sparta-msmarco-distilbert-base-v1
[ "pytorch", "distilbert", "feature-extraction", "arxiv:2009.13013", "arxiv:2104.08663", "transformers" ]
feature-extraction
{ "architectures": [ "DistilBertModel" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
106
2023-03-01T11:06:41Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017804039642214775, -0.01732436940073967, -0.006007630378007889, 0.02934744954109192, 0.051392171531915665, -0.018163440749049187, -0.011470613069832325, -0.00876507069915533, -0.05907415598630905, 0.0540633425116539, -0.0024452509824186563, -0.009149008430540562, 0.02513200230896473, 0...
Bee-Garbs/DialoGPT-cartman-small
[]
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-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05177205055952072, 0.007532613817602396, -0.007958558388054371, 0.05877410247921944, 0.027098797261714935, 0.03123769350349903, -0.003921767696738243, -0.0344712920486927, -0.003601799253374338, 0.05102080479264259, 0.018931996077299118, -0.013067338615655899, 0.007926100865006447, 0.02...
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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taki-v3-50000 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- ...
[ -0.015649883076548576, -0.019947456195950508, -0.003255047369748354, 0.024659467861056328, 0.04891993850469589, -0.0018409020267426968, -0.02049635909497738, 0.010446957312524319, -0.03832940012216568, 0.05570133775472641, 0.015254690311849117, -0.005334396380931139, 0.012105735950171947, ...
BenQLange/HF_bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taki-v3-500000 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/-...
[ -0.015564233995974064, -0.019894735887646675, -0.003346402896568179, 0.024456270039081573, 0.049209218472242355, -0.002266061259433627, -0.020361104980111122, 0.011378482915461063, -0.0378272570669651, 0.05610494688153267, 0.015107987448573112, -0.005362491589039564, 0.012381868436932564, ...
Beri/legal-qa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
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 ...
[ -0.045361701399087906, -0.0015777144581079483, -0.021907541900873184, 0.03238987922668457, 0.04402817040681839, 0.01808404177427292, -0.018212735652923584, -0.0304754376411438, -0.03681039437651634, 0.06922360509634018, 0.022235894575715065, 0.0029136925004422665, 0.015133989043533802, 0.0...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
2023-03-01T11:43:02Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: reinforce1-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PL...
[ -0.041178248822689056, 0.013957232236862183, 0.014695084653794765, 0.01877640374004841, 0.050017353147268295, -0.012644135393202305, -0.021492604166269302, -0.026342831552028656, -0.018592270091176033, 0.06634876132011414, 0.034646786749362946, -0.008494293317198753, 0.007961587980389595, ...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-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
2023-03-01T11:43:30Z
--- license: mit tags: - generated_from_trainer model-index: - name: Vi-test3 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. --> # Vi-test3 This model is a fine-tu...
[ -0.03859783709049225, -0.033404938876628876, -0.001449991948902607, 0.022645071148872375, 0.01630340702831745, 0.021863937377929688, -0.0031102418433874846, -0.01176616083830595, -0.04191301390528679, 0.0445297434926033, 0.031461067497730255, -0.006401370745152235, 0.027886684983968735, 0....