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
Adinda/Adinda
[ "license:artistic-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
--- tags: - FrozenLake-v1-8x8-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8-no_slippery type: Frozen...
[ -0.020775476470589638, -0.017980506643652916, -0.0059228213503956795, 0.02920573018491268, 0.05302492901682854, -0.020738136023283005, -0.008526818826794624, -0.009910530410706997, -0.057590238749980927, 0.054098036140203476, -0.004165754187852144, -0.010055340826511383, 0.026702502742409706...
Advertisement/FischlUWU
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03777885437011719, -0.015979576855897903, -0.016298335045576096, 0.050821661949157715, 0.010902022942900658, 0.04409779608249664, -0.01760229282081127, -0.0031471995171159506, -0.06943868100643158, 0.082993283867836, 0.04069855064153671, 0.013096686452627182, 0.0025786764454096556, 0.04...
Aeskybunnie/Me
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilgpt2-finetuned-katpoems-lm 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. --> # di...
[ -0.0227301437407732, -0.02151493728160858, -0.004309485666453838, 0.029024478048086166, 0.04121812433004379, 0.007359713315963745, -0.00692672748118639, -0.012164813466370106, -0.05490899831056595, 0.06159580126404762, 0.030652966350317, -0.02624484896659851, 0.013850228860974312, 0.032532...
AetherIT/DialoGPT-small-Hal
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - facebook/multilingual_librispeech metrics: - wer model-index: - name: Whisper largeV2 French MLS results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: facebook/mul...
[ -0.01228666864335537, -0.009530087932944298, -0.006564564071595669, 0.04919452592730522, 0.031639836728572845, 0.02167491801083088, -0.01992897316813469, -0.007928934879601002, -0.017563918605446815, 0.07260940968990326, 0.032962311059236526, -0.012238956987857819, 0.0040254960767924786, 0...
AethiQs-Max/s3-v1-20_epochs
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- 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...
[ -0.01966477371752262, -0.017580462619662285, -0.0061876499094069, 0.03094070591032505, 0.05086148902773857, -0.016638634726405144, -0.01050531305372715, -0.010358143597841263, -0.05824920907616615, 0.053490955382585526, -0.002087042899802327, -0.008042958565056324, 0.026738423854112625, 0....
AimB/konlpy_berttokenizer_helsinki
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
AimB/mT5-en-kr-aihub-netflix
[]
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-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: ...
[ -0.0222055371850729, -0.017105791717767715, -0.0024245232343673706, 0.02980724908411503, 0.052780475467443466, -0.020801689475774765, -0.00829316582530737, -0.007248346693813801, -0.054876748472452164, 0.05429031327366829, -0.0009063227334991097, -0.007252189796417952, 0.027524441480636597, ...
Akame/Vi
[]
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: paddlenlp --- # PaddleCI/tiny-random-ernie-m
[ -0.05839743837714195, 0.010456964373588562, 0.014097549021244049, 0.021929673850536346, 0.031419944018125534, -0.009242813102900982, 0.02628854475915432, 0.009391320869326591, -0.033722709864377975, 0.04315900430083275, 0.005071630235761404, -0.006819126196205616, 0.03031674027442932, 0.03...
Akari/albert-base-v2-finetuned-squad
[ "pytorch", "tensorboard", "albert", "question-answering", "dataset:squad_v2", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
13
null
--- license: apache-2.0 tags: - vision - depth-estimation - generated_from_trainer model-index: - name: glpn-kitti-finetuned-diode-221214-123047 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.0470690056681633, -0.0176389142870903, 0.009125979617238045, 0.01201417576521635, 0.03397469222545624, 0.006404221057891846, -0.006727932952344418, 0.0011656300630420446, -0.026762159541249275, 0.04336276650428772, 0.03333347663283348, -0.030446035787463188, 0.016118505969643593, 0.0261...
Akashpb13/Kabyle_xlsr
[ "pytorch", "safetensors", "wav2vec2", "automatic-speech-recognition", "kab", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "sw", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-...
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
3
null
--- language: - es license: apache-2.0 tags: - Noe tags - generated_from_trainer datasets: - custom__short_dataset model-index: - name: Whisper Small spanish - Sanchit Gandhi notebook example results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to....
[ -0.024714363738894463, -0.011737685650587082, -0.002777829999104142, 0.04827755317091942, 0.03426222875714302, 0.02010822482407093, 0.00180144258774817, 0.01533821877092123, -0.01748102530837059, 0.08088068664073944, 0.04182981327176094, -0.023543603718280792, 0.00790143571794033, 0.044498...
Aklily/Lilys
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail --- This repository only contains the tokenizer file to the GPT-SW3 1.3b model. The full model files are in this private repository: https://huggingface.co/AI-Sweden-Models For access apply at this link.
[ -0.03659399226307869, -0.018546517938375473, -0.030008941888809204, 0.029493415728211403, 0.05426773801445961, 0.020700646564364433, -0.002659148070961237, 0.024811098352074623, -0.04585535079240799, 0.041808877140283585, 0.030439628288149834, 0.0007741739973425865, 0.0043278648518025875, ...
AkshatSurolia/BEiT-FaceMask-Finetuned
[ "pytorch", "beit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "BeitForImageClassification" ], "model_type": "beit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
239
null
--- license: openrail --- This repository only contains the tokenizer file to the GPT-SW3 6.7b model. The full model files are in this private repository: https://huggingface.co/AI-Sweden-Models For access apply at this link.
[ -0.038805894553661346, -0.0161859393119812, -0.025587407872080803, 0.029801420867443085, 0.05317767709493637, 0.01850459724664688, -0.004204707685858011, 0.023162106052041054, -0.04856674000620842, 0.04031040519475937, 0.03079674206674099, -0.000864181260112673, 0.005611304193735123, 0.038...
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
--- license: openrail --- This repository only contains the tokenizer file to the GPT-SW3 20b model. The full model files are in this private repository: https://huggingface.co/AI-Sweden-Models For access apply at this link.
[ -0.044212304055690765, -0.01899808458983898, -0.026594121009111404, 0.031112054362893105, 0.05438070744276047, 0.021364960819482803, -0.0034999335184693336, 0.028300248086452484, -0.045750126242637634, 0.03663196042180061, 0.03518987447023392, 0.0008166454499587417, 0.004254635889083147, 0...
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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice metrics: - wer model-index: - name: wav2vec2-large-xls-r-300m-hindi results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice type: common_voice ...
[ -0.028537116944789886, -0.002044960856437683, -0.020137004554271698, 0.02964054048061371, 0.041613899171352386, 0.03537135571241379, -0.01192630548030138, -0.00906896311789751, -0.013811089098453522, 0.05640915781259537, 0.029539503157138824, -0.027072900906205177, 0.011786808259785175, 0....
AlanDev/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.038098931312561035, -0.001984622096642852, 0.003399474313482642, 0.03204217925667763, 0.0473594143986702, -0.027232356369495392, -0.014614267274737358, -0.03192933648824692, -0.03440174087882042, 0.05688882991671562, 0.02616267278790474, -0.017980750650167465, 0.02226637676358223, 0.007...
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Aleksandar/distilbert-srb-ner-setimes-lr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-14T14:06:34Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Aleksandar/distilbert-srb-ner-setimes
[ "pytorch", "distilbert", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2022-12-14T14:06:35Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Aleksandar/distilbert-srb-ner
[ "pytorch", "distilbert", "token-classification", "sr", "dataset:wikiann", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
9
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Aleksandar/electra-srb-ner-setimes-lr
[]
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "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...
8
2022-12-14T14:17:44Z
--- language: zh widget: - text: "这句话是谁说的?" context: "“老大,你太牛逼了,把敌人军火库都给炸了,我真的佩服的五体投地,我现在忍不住想看看你藏的东西在哪里,我们快点出发吧。”代号零听完郭旭刚刚的讲述笑的拍手一直叫好。" tags: - generated_from_trainer model-index: - name: bert-finetuned-ViolentSmallFarmers results: [] --- <!-- This model card has been generated automatically according to the info...
[ -0.020553773269057274, -0.007014750968664885, -0.006050862371921539, 0.04766741394996643, 0.039266835898160934, 0.02195400930941105, -0.01470264047384262, -0.041862159967422485, -0.02090563252568245, 0.05204009264707565, 0.04048192873597145, 0.0017719288589432836, 0.028015242889523506, 0.0...
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
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.021663999184966087, -0.01264333724975586, 0.01218552328646183, 0.030623244121670723, 0.024103054776787758, 0.023807382211089134, 0.005385018419474363, -0.007516182493418455, -0.006059650331735611, 0.062408313155174255, -0.0011463189730420709, -0.015863288193941116, 0.02453521080315113, ...
AlekseyKorshuk/comedy-scripts
[ "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...
20
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 ...
[ -0.03736194968223572, -0.0023507210426032543, -0.004879647865891457, 0.025250868871808052, 0.04518822953104973, -0.022006254643201828, -0.005274931900203228, -0.02785351872444153, -0.03351141884922981, 0.06674568355083466, 0.03302052244544029, -0.023633209988474846, 0.022783301770687103, 0...
AlekseyKulnevich/Pegasus-HeaderGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
8
null
--- language: - ml license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - thennal/imasc metrics: - wer model-index: - name: Whisper Large V2 Malayalam results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: ICFOSS Malayalam ...
[ -0.03779662773013115, -0.010314250364899635, -0.008792649023234844, 0.04240618646144867, 0.05097128450870514, 0.020565545186400414, -0.009709253907203674, -0.015108941122889519, -0.015800481662154198, 0.06663693487644196, 0.045505959540605545, -0.03218265622854233, 0.006504374090582132, 0....
AlekseyKulnevich/Pegasus-QuestionGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
17
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...
[ -0.016388410702347755, -0.018217921257019043, -0.006199893541634083, 0.030502241104841232, 0.0515868179500103, -0.01684180088341236, -0.010730682872235775, -0.00972745567560196, -0.06004771217703819, 0.05341780185699463, -0.002785391639918089, -0.008156316354870796, 0.025965562090277672, 0...
AlekseyKulnevich/Pegasus-Summarization
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
7
null
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - NbAiLab/NCC_S metrics: - wer model-index: - name: "Whisper Tiny Norwegian Bokm\xE5l" results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: NbAiLab/NCC_S type...
[ -0.04115936905145645, 0.0024977456778287888, -0.002077522687613964, 0.04462987557053566, 0.026325182989239693, 0.004122020211070776, -0.01364208199083805, -0.014869711361825466, -0.03601561859250069, 0.07057603448629379, 0.030761143192648888, -0.034939032047986984, 0.011916905641555786, 0....
Alexander-Learn/bert-finetuned-squad-accelerate
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- model-index: - name: Sociovestix/lenu_DK results: - task: type: text-classification name: Text Classification dataset: name: lenu type: Sociovestix/lenu config: DK split: test revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe metrics: - type: f1 value...
[ 0.0173785500228405, -0.031829021871089935, 0.007944573648273945, 0.037475693970918655, 0.05646589770913124, 0.019135605543851852, -0.03658284991979599, -0.018935898318886757, -0.06989016383886337, 0.05639497935771942, 0.03596308454871178, -0.016650915145874023, 0.0012415617238730192, 0.024...
Alexander-Learn/bert-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
7
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
Alexandru/creative_copilot
[]
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: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007642287295311689, 0.00574840884655714, -0.016193773597478867, 0.015239042229950428, 0.05824679136276245, -0.02853606455028057, 0.008383769541978836, -0.03317246958613396, -0.02656884491443634, 0.06597889214754105, 0.027124907821416855, -0.028515858575701714, -0.001685983850620687, 0.0...
AlexeyIgnatov/albert-xlarge-v2-squad-v2
[]
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801409527659416, -0.017799025401473045, 0.009709029458463192, 0.040950652211904526, 0.04654868692159653, -0.0027751182205975056, 0.013433782383799553, -0.008017302490770817, -0.03628154471516609, 0.042792219668626785, 0.025687389075756073, -0.0006620288477279246, 0.03954674303531647, ...
AlexeyYazev/my-awesome-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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801415115594864, -0.0177990160882473, 0.009709034115076065, 0.040950655937194824, 0.046548694372177124, -0.002775136847048998, 0.013433796353638172, -0.008017308078706264, -0.03628156706690788, 0.04279223456978798, 0.02568740025162697, -0.0006619987543672323, 0.03954673185944557, 0.0...
Alireza1044/albert-base-v2-sst2
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
52
2022-12-14T15:21:22Z
--- 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 ...
[ -0.03750329464673996, -0.003176737343892455, -0.004446133971214294, 0.02564098685979843, 0.04534592106938362, -0.02126753330230713, -0.005180487409234047, -0.02850201353430748, -0.03334170952439308, 0.06652415543794632, 0.03212348371744156, -0.023658689111471176, 0.02293870970606804, 0.001...
Alireza1044/albert-base-v2-stsb
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
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...
[ -0.01668381132185459, -0.017704466357827187, -0.005208882968872786, 0.03033372014760971, 0.05147123709321022, -0.01676858775317669, -0.011335880495607853, -0.009051953442394733, -0.057599738240242004, 0.053864650428295135, -0.002453512977808714, -0.009248829446732998, 0.02450098656117916, ...
Alireza1044/bert_classification_lm
[ "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...
35
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...
[ -0.017255783081054688, -0.016920896247029305, -0.006675653625279665, 0.030129022896289825, 0.05155348405241966, -0.017519619315862656, -0.011425945907831192, -0.009628026746213436, -0.05908092111349106, 0.054250605404376984, -0.0020989563781768084, -0.008237935602664948, 0.02464877814054489,...
AllwynJ/HarryBoy
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- language: - en license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true widget: - text: "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden" example_titl...
[ -0.033625323325395584, -0.007258400321006775, -0.026891300454735756, 0.037841178476810455, 0.03757338598370552, 0.0005196121637709439, 0.003504884196445346, -0.009046957828104496, -0.05012974143028259, 0.06139913201332092, 0.026076141744852066, -0.015427562408149242, -0.002396422205492854, ...
Allybaby21/Allysai
[]
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: other tags: - vision - image-segmentation datasets: - scene_parse_150 widget: - src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg example_title: House - src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_0...
[ -0.04810800030827522, -0.03278709948062897, -0.013701236806809902, 0.041147563606500626, 0.022288503125309944, 0.0065488023683428764, -0.02650037780404091, -0.019152026623487473, -0.042567234486341476, 0.07118485867977142, 0.030079809948801994, 0.018596244975924492, -0.0075225261971354485, ...
Amalq/distilroberta-base-finetuned-MentalHealth
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-14T15:49:10Z
--- license: creativeml-openrail-m tags: - text-to-image - image-classification library_name: transformers inference: true datasets: - AdamOswald1/autotrain-data-failure - AdamOswald1/autotrain-data-testing - AdamOswald1/autotrain-data-l - AdamOswald1/autotrain-data-attempt - AdamOswald1/autotrain-data-al...
[ -0.040081534534692764, -0.01048585120588541, -0.03361734002828598, 0.033208590000867844, 0.05750146135687828, 0.013376803137362003, -0.019836775958538055, -0.011184307746589184, -0.019910773262381554, 0.04619686305522919, 0.029867837205529213, 0.022228514775633812, -0.01993628777563572, 0....
Amalq/distilroberta-base-finetuned-anxiety-depression
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-14T15:49:13Z
--- language: - es license: apache-2.0 tags: - Noe tags - generated_from_trainer datasets: - custom__short_dataset model-index: - name: Whisper Small spanish - Sanchit Gandhi notebook example results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to....
[ -0.024714363738894463, -0.011737685650587082, -0.002777829999104142, 0.04827755317091942, 0.03426222875714302, 0.02010822482407093, 0.00180144258774817, 0.01533821877092123, -0.01748102530837059, 0.08088068664073944, 0.04182981327176094, -0.023543603718280792, 0.00790143571794033, 0.044498...
Andrija/SRoBERTa-NER
[ "pytorch", "roberta", "token-classification", "hr", "sr", "multilingual", "dataset:hr500k", "transformers", "license:apache-2.0", "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_...
7
null
This is an Embedding built for Stable Diffusion 2.0. Trained on 9 Images of mech/cybersuits Training was done with the Automatic1111 WebUI I have included all the model files from training but have 4 selected out. ZiCyb: Highest stepping embedding - https://huggingface.co/Arron17/ZiCyb/resolve/main/ZiCyb.pt </br> Zi...
[ -0.03260297328233719, -0.002907297108322382, -0.029026933014392853, 0.03018335811793804, 0.05271671712398529, 0.029895907267928123, 0.007152141537517309, -0.00255538965575397, -0.02450544200837612, 0.055760856717824936, 0.02671082876622677, -0.006254436913877726, -0.00462988531216979, 0.03...
Andrija/SRoBERTaFastBPE
[]
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
Pre-tained ESPnet2 ASR model Model: hybrid CTC/attention, 12 enc conformer, 6 dec transformer, fbank+pitch input features Data: trained on CGN all components, VL only Results: cgn-dev 10.75% WER ESPnet version: 0.10.5a1
[ -0.05634527653455734, 0.01356422994285822, -0.014827773906290531, 0.005357090383768082, 0.040982626378536224, 0.024078059941530228, -0.011401538737118244, 0.0043939207680523396, -0.04289282485842705, 0.049527645111083984, 0.02834700606763363, 0.011919292621314526, -0.0008174030226655304, 0...
Andry/111
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
Anomic/DialoGPT-medium-loki
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/detoxify-pile-chunk3-0-50000 - tomekkorbak/detoxify-pile-chunk3-50000-100000 - tomekkorbak/detoxify-pile-chunk3-100000-150000 - tomekkorbak/detoxify-pile-chunk3-150000-200000 - tomekkorbak/detoxify-pile-chunk3-200000-250000 - tomekko...
[ -0.00796584039926529, -0.039861295372247696, -0.020935583859682083, 0.013672241009771824, 0.04076392576098442, 0.025072399526834488, -0.009637163020670414, -0.0012835279339924455, -0.034742143005132675, 0.06589392572641373, 0.01830139383673668, -0.014861584641039371, 0.017111042514443398, ...
AnonARR/qqp-bert
[ "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...
38
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: TF-Fine_tuned_T5-base 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. --> # TF-Fine_tune...
[ -0.027427757158875465, -0.027503810822963715, 0.014926080591976643, 0.02180321514606476, 0.02425275184214115, 0.015762383118271828, -0.02513517066836357, -0.0001557745854370296, -0.03059472143650055, 0.034002456814050674, 0.025350194424390793, -0.012638644315302372, 0.019991271197795868, 0...
Anonymous/ReasonBERT-BERT
[ "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
null
it is now removed for unknown reasons, but this is only 1/3 of Waifu diffusion1.4's full power :D and its already better than 1.3 in my eyes
[ 0.007735446095466614, -0.02828901819884777, 0.001528138411231339, 0.017030341550707817, 0.0070161535404622555, 0.00290549173951149, 0.004571772646158934, 0.001241073478013277, -0.009352450259029865, 0.054975975304841995, 0.037089016288518906, -0.00318270456045866, 0.030238542705774307, 0.0...
Anonymous/ReasonBERT-TAPAS
[ "pytorch", "tapas", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "TapasModel" ], "model_type": "tapas", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": n...
7
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/detoxify-pile-chunk3-0-50000 - tomekkorbak/detoxify-pile-chunk3-50000-100000 - tomekkorbak/detoxify-pile-chunk3-100000-150000 - tomekkorbak/detoxify-pile-chunk3-150000-200000 - tomekkorbak/detoxify-pile-chunk3-200000-250000 - tomekko...
[ -0.00796584039926529, -0.039861295372247696, -0.020935583859682083, 0.013672241009771824, 0.04076392576098442, 0.025072399526834488, -0.009637163020670414, -0.0012835279339924455, -0.034742143005132675, 0.06589392572641373, 0.01830139383673668, -0.014861584641039371, 0.017111042514443398, ...
AnonymousSub/AR_rule_based_bert_quadruplet_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
null
--- language: - hi license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Large Assamese - Drishti Sharma results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition da...
[ -0.03615632280707359, -0.008855942636728287, -0.005185835994780064, 0.0344279482960701, 0.056677430868148804, 0.011431175284087658, -0.003545345738530159, -0.009375428780913353, -0.02052885666489601, 0.07426350563764572, 0.038335032761096954, -0.03395504131913185, 0.019183816388249397, 0.0...
AnonymousSub/AR_rule_based_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
2022-12-14T18:38:34Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03632119297981262, -0.01704941876232624, -0.017162278294563293, 0.05106724053621292, 0.01151119265705347, 0.04437613859772682, -0.018663978204131126, -0.0026771770790219307, -0.0695725753903389, 0.08319412916898727, 0.03939869627356529, 0.012617562897503376, 0.0022086689714342356, 0.040...
AnonymousSub/AR_rule_based_hier_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...
6
null
--- language: - en license: unknown tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- A reupload of Systemy model finetuned with Cutesexyrobutts' arts Source: gofile(.)io/d/D1L69E Image examples: https://imgur.com/VPNUae8 Prompt and settings examples: https://huggi...
[ -0.03896495699882507, -0.028226222842931747, -0.00046755815856158733, 0.0342317633330822, 0.03719082474708557, 0.009485580027103424, 0.004345402121543884, -0.01841738261282444, -0.02227672003209591, 0.04892679303884506, 0.0034251182805746794, 0.006246563978493214, 0.0003106430231127888, 0....
AnonymousSub/AR_rule_based_only_classfn_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...
1
null
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-finetuned-subjqa-movies_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. --> # ro...
[ -0.018946588039398193, -0.028789596632122993, -0.007984818890690804, 0.03884299099445343, 0.04715026170015335, 0.03307965397834778, -0.03694948926568031, 0.009614380076527596, -0.029465138912200928, 0.045170366764068604, 0.0405685231089592, -0.018649427220225334, 0.017495499923825264, 0.05...
AnonymousSub/AR_rule_based_roberta_twostage_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...
6
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-custom-map-Slippery-edition results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4...
[ -0.02407623827457428, -0.014978436753153801, -0.007026302628219128, 0.04150997847318649, 0.05101748928427696, -0.01665479876101017, -0.00046905537601560354, -0.013421587646007538, -0.05250142514705658, 0.05016767606139183, -0.002899356186389923, -0.01981649547815323, 0.02485036849975586, 0...
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
--- 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 ...
[ -0.03700677677989006, -0.0025752857327461243, -0.004969152621924877, 0.025668522343039513, 0.04571044072508812, -0.021627096459269524, -0.005053209140896797, -0.028215494006872177, -0.03317065164446831, 0.06624870002269745, 0.032793570309877396, -0.02373705990612507, 0.023053167387843132, ...
AnonymousSub/AR_rule_based_roberta_twostagetriplet_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
Access to model mikumikugeek/wildcards is restricted and you are not in the authorized list. Visit https://huggingface.co/mikumikugeek/wildcards to ask for access.
[ -0.030457379296422005, -0.013542244210839272, 0.004634959623217583, -0.005581554025411606, 0.03178437799215317, 0.021151967346668243, 0.0051359147764742374, -0.0012261738302186131, -0.015033676289021969, 0.05599495396018028, 0.06410752981901169, 0.004761707503348589, 0.013809587806463242, ...
AnonymousSub/AR_rule_based_twostage_quadruplet_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...
1
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: a portrait of [V] --- ### training params ```json { "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5", "instance_data_dir": "./2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c/instance_data", "class_data_dir": "./class_data/a-portr...
[ -0.016811098903417587, -0.023273197934031487, -0.03487858921289444, 0.049441859126091, 0.05183282122015953, 0.008994301781058311, -0.007718580309301615, -0.006967888679355383, -0.009538163430988789, 0.05200342833995819, 0.009412409737706184, -0.011268248781561852, 0.0015472176019102335, 0....
AnonymousSub/EManuals_BERT_copy_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...
29
2022-12-14T20:50:23Z
--- language: - vi license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Vietnamese results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: na...
[ -0.03861571475863457, -0.015999244526028633, 0.008330490440130234, 0.04569904878735542, 0.032479412853717804, 0.009046988561749458, 0.005672955885529518, -0.008291644975543022, -0.02056342363357544, 0.061737388372421265, 0.03141336888074875, -0.04132656008005142, 0.013159180991351604, 0.02...
AnonymousSub/SR_rule_based_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...
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...
[ -0.01668822206556797, -0.018655721098184586, -0.007009828928858042, 0.030203046277165413, 0.04826885461807251, -0.01780320517718792, -0.010694766417145729, -0.008548201993107796, -0.05850640684366226, 0.053238555788993835, -0.0008493884233757854, -0.008426234126091003, 0.026296252384781837, ...
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
2022-12-14T22:27:16Z
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) Describe your model here ## Usage ```python from diffusers import DDPMPipeline p...
[ -0.005495914723724127, -0.019684098660945892, 0.013356972485780716, 0.02301342971622944, 0.031855545938014984, 0.010420714505016804, 0.002327429596334696, -0.003315970301628113, -0.009685351513326168, 0.04923323169350624, 0.010113720782101154, 0.002565289381891489, 0.025356734171509743, 0....
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
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### charliee Dreambooth model trained by mattyhew with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fa...
[ -0.03301793336868286, -0.017126280814409256, -0.033909112215042114, 0.03148822486400604, 0.027389977127313614, 0.022051993757486343, -0.009492563083767891, -0.003059376496821642, -0.016916628926992416, 0.03342762216925621, 0.039141274988651276, 0.01515947561711073, -0.017939826473593712, 0...
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "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
2022-12-14T22:37:49Z
--- tags: - generated_from_trainer model-index: - name: improved_4bars-mdl 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. --> # improved_4bars-mdl This model is a ...
[ -0.026955939829349518, -0.001835413626395166, 0.008523175492882729, 0.03919660672545433, 0.03223994001746178, 0.0050115701742470264, -0.013931025750935078, -0.003721819259226322, -0.0332670584321022, 0.05343001335859299, 0.018170947209000587, -0.029500244185328484, 0.02029932476580143, 0.0...
AnonymousSub/SR_rule_based_roberta_twostagetriplet_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...
4
2022-12-14T22:50:49Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: a portrait of [V] --- ### training params ```json { "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5", "instance_data_dir": "./f059fb82-fbf5-48bb-969a-0b2a2b9ef67a/instance_data", "class_data_dir": "./class_data/a-portr...
[ -0.016734382137656212, -0.023683946579694748, -0.0366612933576107, 0.049004796892404556, 0.050694242119789124, 0.008904889225959778, -0.007578431628644466, -0.005835268180817366, -0.010356142185628414, 0.05189324915409088, 0.010445011779665947, -0.010998171754181385, 0.0007688807672820985, ...
AnonymousSub/SR_rule_based_roberta_twostagetriplet_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...
4
null
A BART-base model fine-tuned for temporal definition modelling task. The dataset comprises 10000 definition-context pairs and is organised in the following way. Definition: \<t\> Coronavirus \<t\> is a type of virus. Context :\<y\> 2022 \</y\> This year \<t\> Coronavirus \<t\> were very prudent in many countries. Th...
[ -0.018704669550061226, -0.02315722405910492, 0.008712345734238625, 0.01301790401339531, 0.025833571329712868, -0.0005927587044425309, -0.007209992967545986, -0.009646729566156864, -0.03777559846639633, 0.026126762852072716, 0.023954400792717934, 0.01375237014144659, 0.02205773815512657, 0....
AnonymousSub/SR_rule_based_twostage_quadruplet_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...
3
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) Describe your model here ## Usage ```python from diffusers import DDPMPipeline p...
[ -0.007063382770866156, -0.016990335658192635, 0.01505601592361927, 0.024024805054068565, 0.03070034086704254, 0.012219316326081753, 0.0020020951051265, -0.003252479713410139, -0.011310115456581116, 0.04868866875767708, 0.011648690328001976, 0.005949928425252438, 0.02564319409430027, 0.0529...
AnonymousSub/SR_rule_based_twostagequadruplet_hier_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
2022-12-14T22:58:12Z
--- language: - th license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Medium Thai Combined V2 - biodatlab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition ...
[ -0.049439411610364914, -0.017581550404429436, 0.00671103410422802, 0.033605776727199554, 0.03903831169009209, 0.034709952771663666, -0.023121239617466927, -0.009930825792253017, -0.017566081136465073, 0.07200194895267487, 0.024472760036587715, -0.029732171446084976, 0.0090640252456069, 0.0...
AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
2022-12-14T22:59:13Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### teamcomo-nc Dreambooth model trained by DFrostKilla with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
[ -0.0298097375780344, -0.02378215454518795, -0.03047027625143528, 0.029962778091430664, 0.027471672743558884, 0.02101011388003826, -0.008054633624851704, -0.0039215655997395515, -0.012952223420143127, 0.028129389509558678, 0.040344372391700745, 0.016394659876823425, -0.022870995104312897, 0...
AnonymousSub/SR_specter
[ "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
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 ...
[ -0.03730325028300285, -0.002373446710407734, -0.004569196607917547, 0.025686686858534813, 0.04520239308476448, -0.021616406738758087, -0.005385105032473803, -0.027805890887975693, -0.033158499747514725, 0.06653682887554169, 0.03217431157827377, -0.023811811581254005, 0.023149996995925903, ...
AnonymousSub/SciFive_pubmedqa_question_generation
[ "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...
7
2022-12-14T22:59:59Z
--- license: creativeml-openrail-m --- Preview iImages https://imgur.com/a/8d0JLcA IMPORTANT INSTRUCTIONS!!! This model was trained on SD base 1.5 version BUT It does also work for 1.4 as they both share the same Clip encoder. Install instructions. Simply place the water elemental.pt file inside the \stable-diffus...
[ -0.033934127539396286, -0.01939435303211212, -0.051897067576646805, 0.01911212131381035, 0.034743938595056534, 0.02520942874252796, -0.010563040152192116, -0.011021990329027176, -0.01908154785633087, 0.04258051514625549, 0.019376689568161964, -0.02837768942117691, 0.018823664635419846, 0.0...
AnonymousSub/bert-base-uncased_squad2.0
[ "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...
3
2022-12-14T23:34:16Z
--- language: - pa license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Large Punjabi - Drishti Sharma results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dat...
[ -0.027967384085059166, -0.011933383531868458, -0.002858833409845829, 0.04963934049010277, 0.04070354625582695, 0.02197836898267269, 0.00029809767147526145, -0.001322021591477096, -0.01307450421154499, 0.07405838370323181, 0.03889366611838341, -0.03202187642455101, 0.019027236849069595, 0.0...
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
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: distilbert-blm-tweets 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. --> # distilbert-b...
[ -0.01797238551080227, -0.00881140399724245, -0.02674254961311817, 0.030740469694137573, 0.0470551922917366, 0.030773159116506577, -0.017082178965210915, -0.021922476589679718, -0.041358429938554764, 0.047695670276880264, 0.03172693029046059, -0.03755435347557068, 0.0027967318892478943, 0.0...
AnonymousSub/bert_mean_diff_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...
4
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: MlpPolicy results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-...
[ -0.03950432315468788, -0.0008690027752891183, -0.002673405222594738, 0.02722153067588806, 0.03292735293507576, -0.019475461915135384, -0.01201908104121685, -0.025912614539265633, -0.028112370520830154, 0.06344517320394516, 0.032312795519828796, -0.028894741088151932, 0.0195758156478405, -0...
AnonymousSub/cline-emanuals-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, "...
27
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - superb metrics: - accuracy model-index: - name: wav2vec2-finetuned-ks results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.033744651824235916, -0.00927702710032463, -0.01163988932967186, 0.022386454045772552, 0.0335206538438797, 0.014018197543919086, -0.01573522575199604, 0.011043604463338852, -0.0336277037858963, 0.04020730406045914, 0.04433107376098633, -0.012217582203447819, 0.006452590227127075, 0.02743...
AnonymousSub/cline-emanuals-s10-SR
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-15T00:18:15Z
--- language: - uk license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 - google/fleurs model-index: - name: whisper-base-uk results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Comm...
[ -0.03955276682972908, -0.005519421771168709, -0.011646692641079426, 0.05144358426332474, 0.04027091711759567, 0.024030771106481552, -0.004966985434293747, -0.008066492155194283, -0.017120731994509697, 0.06707481294870377, 0.03970712050795555, -0.02201363444328308, 0.005408827681094408, 0.0...
AnonymousSub/cline-papers-biomed-0.618
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "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_n...
2
2022-12-15T00:36:00Z
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - endpoints-template inference: true ---
[ -0.033166904002428055, -0.006692842580378056, -0.03186306729912758, -0.0023028068244457245, 0.050788186490535736, 0.0020894864574074745, -0.0016601535025984049, 0.007606091443449259, -0.028129223734140396, 0.04249492287635803, 0.030714252963662148, 0.00883276667445898, 0.03008890151977539, ...
AnonymousSub/cline-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, "...
31
2022-12-15T00:39:44Z
--- language: - ja license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Japanese results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name...
[ -0.03065527230501175, -0.015082752332091331, 0.0013822786277160048, 0.050374969840049744, 0.03889394924044609, 0.015297033824026585, 0.00982800591737032, -0.012890350073575974, -0.02137819118797779, 0.08069933950901031, 0.026890622451901436, -0.039037175476551056, 0.016961485147476196, 0.0...
AnonymousSub/consert-emanuals-s10-SR
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
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...
[ -0.02034553326666355, -0.018997613340616226, -0.009517391212284565, 0.034407079219818115, 0.05276793614029884, -0.014635343104600906, -0.01179305650293827, -0.007786938920617104, -0.060830507427453995, 0.05261790752410889, 0.00019922680803574622, -0.008706284686923027, 0.027495816349983215, ...
AnonymousSub/dummy_1
[ "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...
33
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...
[ -0.02304697595536709, -0.01695084385573864, -0.009952175430953503, 0.03069560043513775, 0.049278151243925095, 0.0021588217932730913, -0.019488763064146042, 0.008122490718960762, -0.03887229040265083, 0.051716405898332596, 0.018533876165747643, -0.006123698316514492, 0.014525732956826687, 0...
AnonymousSub/roberta-base_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, "...
25
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...
[ -0.0408262200653553, -0.002788039157167077, -0.0067132459953427315, 0.049697570502758026, 0.02862136997282505, 0.021820520982146263, -0.023693466559052467, -0.035219572484493256, -0.006395881529897451, 0.04923795908689499, 0.018025929108262062, -0.009863502345979214, 0.02039610967040062, 0...
AnonymousSub/rule_based_bert_hier_diff_equal_wts_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...
8
2022-12-15T04:00:36Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: test_trainer 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. --> # test_trainer This mod...
[ -0.023650789633393288, -0.015480633825063705, -0.02854112908244133, 0.045600902289152145, 0.03794800862669945, 0.032145410776138306, -0.003490883857011795, -0.016007252037525177, -0.04194456338882446, 0.05700284242630005, 0.03415951877832413, -0.012789932079613209, 0.007537189871072769, 0....
AnonymousSub/rule_based_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...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: distilbert-base-uncased-finetuned-imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.016797471791505814, 0.006439556833356619, -0.03436196222901344, 0.046744704246520996, 0.047138553112745285, 0.027521133422851562, -0.019816331565380096, -0.02633494697511196, -0.030483318492770195, 0.06539914757013321, 0.04726435989141464, -0.02598048374056816, 0.013924412429332733, 0.0...
AnonymousSub/rule_based_bert_mean_diff_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...
3
2022-12-15T04:11:31Z
--- language: en thumbnail: http://www.huggingtweets.com/mattbergwall/1671077570136/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; wi...
[ 0.002065309789031744, -0.03701581433415413, -0.0009948204969987273, 0.05625117942690849, 0.049538612365722656, 0.014638230204582214, -0.018634771928191185, -0.007880267687141895, -0.04363766685128212, 0.03483735769987106, 0.015921294689178467, -0.0006257262430153787, -0.016933372244238853, ...
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_squad2.0
[ "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...
3
2022-12-15T04:40:01Z
--- tags: - Acrobot-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Acrobot-v1 type: Acrobot-v1 metrics: - ty...
[ -0.01560129038989544, -0.003905927762389183, -0.004927601665258408, 0.04263894259929657, 0.058226533234119415, -0.015836184844374657, -0.03402893990278244, -0.033504851162433624, -0.02878531999886036, 0.054896172136068344, 0.0026806097012013197, 0.010994103737175465, -0.017211003229022026, ...
AnonymousSub/rule_based_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...
8
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion widget: - text: "food_crit " --- ### Jak's Creepy Critter Pack v2.0-768px! Higher resolution 768px images used for training with fine tuning to now allow better control of output images. Compared to v1.0 which creates messy blob monsters (whi...
[ -0.02910800091922283, -0.018741391599178314, -0.028990887105464935, 0.034840893000364304, 0.04721593111753464, 0.012067141011357307, 0.011404862627387047, -0.023630887269973755, -0.016039742156863213, 0.05261572077870369, 0.03978060930967331, 0.006443155463784933, 0.001774535165168345, 0.0...
AnonymousSub/rule_based_bert_triplet_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...
4
null
--- tags: - Acrobot-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Acrobot-v1 type: Acrobot-v1 metrics: - ty...
[ -0.016130616888403893, -0.0018987248186022043, -0.008508557453751564, 0.04067917913198471, 0.051357366144657135, -0.01377560943365097, -0.030652327463030815, -0.030340630561113358, -0.02531442791223526, 0.052236709743738174, 0.008047923445701599, 0.006121078971773386, -0.0196022130548954, ...
AnonymousSub/rule_based_hier_quadruplet_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...
8
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 ...
[ -0.03929213806986809, -0.002142914803698659, -0.003103938652202487, 0.026098135858774185, 0.04270493611693382, -0.020560268312692642, -0.006467630621045828, -0.028180569410324097, -0.03376711159944534, 0.06924670934677124, 0.03524316847324371, -0.021253012120723724, 0.0207064226269722, 0.0...
AnonymousSub/rule_based_hier_triplet_0.1_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...
4
null
--- license: mit --- # TVLT Textless Vision-Language Transformer (TLVT) model, pre-trained-only. It was introduced in the paper [TVLT: Textless Vision-Language Transformer](https://arxiv.org/abs/2209.14156) by Tang et al. and first released in [this repository](https://github.com/zinengtang/TVLT). Disclaimer: The t...
[ -0.04004852846264839, -0.006442922633141279, -0.003550806548446417, 0.048746656626462936, 0.026943787932395935, 0.03296469897031784, -0.013168451376259327, -0.015513804741203785, -0.0010843609925359488, 0.05123377591371536, 0.01085710246115923, -0.021936282515525818, 0.023266363888978958, ...
AnonymousSub/rule_based_hier_triplet_0.1_epochs_1_shard_1_squad2.0
[ "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...
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 ...
[ -0.03715687617659569, -0.00279715983197093, -0.004838448949158192, 0.025674166157841682, 0.04573318734765053, -0.021303638815879822, -0.0052381218411028385, -0.028122352436184883, -0.033325571566820145, 0.06676537543535233, 0.032516613602638245, -0.023550134152173996, 0.022753996774554253, ...
AnonymousSub/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...
6
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03739146143198013, -0.002686113119125366, -0.005300979595631361, 0.025561269372701645, 0.04525619372725487, -0.02165990322828293, -0.005356414243578911, -0.028025265783071518, -0.0330166257917881, 0.0667002722620964, 0.0326257087290287, -0.023465760052204132, 0.022338489070534706, 0.001...
AnonymousSub/rule_based_roberta_hier_quadruplet_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...
2
null
--- tags: - generated_from_trainer model-index: - name: vit-base-patch16-224-in21k-gpt2-finetuned-to-pokemon-descriptions 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 comme...
[ -0.0381414033472538, -0.008192472159862518, 0.0060889399610459805, 0.015340756624937057, 0.04032047837972641, 0.0022281832061707973, -0.007085822056978941, -0.015006300993263721, -0.02546975202858448, 0.04863157495856285, 0.02902943082153797, -0.015343962237238884, 0.028197219595313072, 0....
AnonymousSub/rule_based_roberta_twostagetriplet_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
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...
[ -0.041905727237463, -0.0016219905810430646, -0.008117401972413063, 0.04977620393037796, 0.028352469205856323, 0.02207188680768013, -0.026132572442293167, -0.03752819821238518, -0.006145596504211426, 0.04897257313132286, 0.019975123926997185, -0.007935753092169762, 0.02110675908625126, 0.03...
AnonymousSub/rule_based_roberta_twostagetriplet_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...
1
2022-12-15T08:48:54Z
--- license: mit --- ### Bob Dobbs on Stable Diffusion This is the `<bob>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebo...
[ -0.022390972822904587, -0.017689304426312447, -0.04336566850543022, 0.04028300568461418, 0.019586779177188873, 0.019370798021554947, -0.0010741854785010219, -0.006023296620696783, -0.029959939420223236, 0.0363503023982048, 0.006964101921766996, -0.010752080008387566, 0.034133415669202805, ...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_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
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: train ...
[ -0.025311971083283424, -0.0030808893498033285, 0.006633306387811899, 0.019430916756391525, 0.029288839548826218, 0.02606477402150631, -0.024691149592399597, -0.011299687437713146, -0.023672059178352356, 0.05020473897457123, 0.021298527717590332, -0.04291365668177605, 0.00880345143377781, 0...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_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
null
--- tags: - conversational --- # SpongeBob DiableGPT Model
[ -0.024184074252843857, 0.008506765589118004, -0.005511293187737465, 0.008027256466448307, 0.022477775812149048, 0.017658820375800133, 0.007807307876646519, 0.027165398001670837, -0.001135374652221799, 0.024407537654042244, 0.04070916026830673, -0.01994965225458145, 0.015182039700448513, 0....
AnonymousSub/rule_based_twostagetriplet_hier_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...
5
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.02749754674732685, 0.006849099416285753, -0.0044709364883601665, 0.017394591122865677, 0.05078568309545517, -0.02503407932817936, 0.006171207409352064, -0.020194843411445618, -0.02987571433186531, 0.06371987611055374, 0.035267479717731476, -0.03517952561378479, 0.014806593768298626, -0....
AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - kejian/codeparrot-train-more-filter-3.3b-cleaned model-index: - name: deliberate-awr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proo...
[ -0.0373624712228775, -0.009637952782213688, -0.02275768294930458, 0.06379406899213791, 0.039343494921922684, 0.03454996645450592, 0.0005829082801938057, -0.018671346828341484, -0.022519808262586594, 0.05478731542825699, 0.029512932524085045, -0.02930579148232937, -0.007667083293199539, 0.0...
AnonymousSub/specter-bert-model_copy
[ "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
--- 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 ...
[ -0.03706042841076851, -0.0027912636287510395, -0.004851578734815121, 0.02583039551973343, 0.045710235834121704, -0.021258939057588577, -0.005264690611511469, -0.027952108532190323, -0.03341778740286827, 0.066767618060112, 0.032539092004299164, -0.023375261574983597, 0.023259922862052917, 0...
AnonymousSub/specter-bert-model_copy_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...
26
null
--- license: openrail --- 基于anythingv3.0 和db训练的村田莲尔的ckpt ![img](https://s3.amazonaws.com/moonup/production/uploads/1671113026483-639ae7f4b49b7262559746f4.png) ![img](https://s3.amazonaws.com/moonup/production/uploads/1671113072558-639ae7f4b49b7262559746f4.png) ![img](https://s3.amazonaws.com/moonup/production/upl...
[ -0.019853921607136726, -0.03719451278448105, -0.03404172509908676, 0.01195809431374073, 0.03970296308398247, -0.00513492152094841, 0.006084907334297895, 0.012350923381745815, -0.043066494166851044, 0.06181937828660011, 0.011823490262031555, 0.00696070771664381, 0.03617628291249275, 0.03759...
AnonymousSub/unsup-consert-base_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2022-12-15T09:32:10Z
--- 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 ...
[ -0.03752526640892029, -0.0024469331838190556, -0.004743040073662996, 0.025282645598053932, 0.04514191672205925, -0.021649286150932312, -0.00553036667406559, -0.027786536142230034, -0.0332183837890625, 0.06651049107313156, 0.03236757218837738, -0.023498596623539925, 0.022726332768797874, 0....
AnonymousSub/unsup-consert-base_squad2.0
[ "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...
2
null
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Lithuanian and Serbian sequentially trained results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition ...
[ -0.02990681678056717, -0.008712216280400753, -0.01158257108181715, 0.045797739177942276, 0.05552269145846367, 0.015616333112120628, -0.004250929690897465, -0.0036837959196418524, -0.03631729632616043, 0.0684683695435524, 0.04123054817318916, -0.032765213400125504, -0.0012048205826431513, 0...
AnonymousSub/unsup-consert-emanuals
[ "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
--- 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...
[ -0.017339885234832764, -0.018322717398405075, -0.007162764202803373, 0.030461549758911133, 0.04967954009771347, -0.017575418576598167, -0.010999456979334354, -0.008808641694486141, -0.057931557297706604, 0.05301037058234215, -0.00208286358974874, -0.007897129282355309, 0.025710454210639, 0...
AnonymousSub/unsup-consert-papers
[ "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
Here is a **negative prompt** embedding I created in the hopes of using embeddings to eliminate low detailed and low fidelity images.**All 400-2400 step versions work very well to increase detail without losing coherency of the subject when used with other embeddings or large prompts. treat the different training step...
[ -0.026843054220080376, -0.01729990914463997, 0.00536649813875556, 0.020427897572517395, 0.058415018022060394, 0.020590336993336678, -0.021595405414700508, -0.020315418019890785, -0.0009328911546617746, 0.03041832335293293, -0.0018421650165691972, -0.016630621626973152, -0.0058670127764344215...