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
BME-TMIT/foszt2oszt
[ "pytorch", "encoder-decoder", "text2text-generation", "hu", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
15
2023-01-23T22:28:08Z
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045877549797296524, -0.0012253179447725415, -0.022108616307377815, 0.03217175230383873, 0.043672285974025726, 0.01788700371980667, -0.018089523538947105, -0.03057744726538658, -0.03719833493232727, 0.06930513679981232, 0.022157281637191772, 0.00369475781917572, 0.015002298168838024, 0.0...
BSC-LT/RoBERTalex
[ "pytorch", "roberta", "fill-mask", "es", "dataset:legal_ES", "dataset:temu_legal", "arxiv:2110.12201", "transformers", "legal", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
2023-01-23T23:15:32Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # lewispons/Email-classifier-v2 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot le...
[ -0.011879955418407917, -0.0318734236061573, -0.01550466101616621, 0.055133022367954254, 0.034933097660541534, 0.02877284586429596, -0.027817387133836746, -0.0006812518113292754, -0.03726920485496521, 0.0656898245215416, 0.031119102612137794, 0.019135624170303345, 0.030082374811172485, 0.02...
BSC-LT/roberta-base-biomedical-clinical-es
[ "pytorch", "roberta", "fill-mask", "es", "arxiv:2109.03570", "arxiv:2109.07765", "transformers", "biomedical", "clinical", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
27
null
--- language: - hi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Small Hi - Sanchit Gandhi results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access ...
[ -0.028613800182938576, -0.005694050341844559, -0.03248201683163643, 0.03254544734954834, 0.04805311560630798, 0.01256178505718708, -0.01569000631570816, 0.011634614318609238, -0.02412251941859722, 0.06513453274965286, 0.04421848803758621, -0.009939664974808693, 0.02349162846803665, 0.03236...
BSC-LT/roberta-base-bne-capitel-ner-plus
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "ner", "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_...
9
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### eduardosflopes2 Dreambooth model trained by eduardosflopes 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 A1...
[ -0.02923690155148506, -0.011793962679803371, -0.02894436940550804, 0.029557112604379654, 0.029437826946377754, 0.010478094220161438, 0.008647135458886623, 0.00199281913228333, -0.017594000324606895, 0.03773554414510727, 0.029858654364943504, 0.0033313895110040903, -0.023155037313699722, 0....
BSC-LT/roberta-base-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
594
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 ...
[ -0.03722827881574631, -0.0022245950531214476, -0.004822116810828447, 0.025277262553572655, 0.04539008438587189, -0.02196427807211876, -0.005097715184092522, -0.027927089482545853, -0.033356912434101105, 0.06657955795526505, 0.03296129032969475, -0.023717328906059265, 0.023085929453372955, ...
BSC-LT/roberta-large-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
15
null
Scylla model mixed using AnythingV3 and scylla only tagged images from danbooru Dataset of 233 images with complete tag lists This model is amazing with highres fix you can get some amazing results way better than I had hoped for extremely happy with the results More monster girl models on the way feel free to reques...
[ -0.04042370617389679, -0.04301663115620613, 0.00267946720123291, 0.020027831196784973, 0.05862564221024513, 0.0150971170514822, -0.001458445331081748, -0.0195311326533556, -0.01589120738208294, 0.07174991071224213, 0.04014487937092781, 0.016940966248512268, 0.03325818479061127, 0.049913771...
BSen/wav2vec2-large-xls-r-300m-turkish-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - opus100 model-index: - name: Arabic-English-opus100 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.007176982704550028, 3.3293471801698615e-7, -0.004420610144734383, 0.040346331894397736, 0.023307207971811295, 0.015333903953433037, 0.0009635983151383698, -0.003231950104236603, -0.025593580678105354, 0.06063162535429001, 0.025877878069877625, -0.011625004932284355, -0.005979600362479687,...
BW/TEST
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy - f1 - recall - precision model-index: - name: vit-base-patch16-224-in21k_Human_Activity_Recognition results: - task: name: Image Classification type: image-classification dataset: name: imagefol...
[ -0.024950258433818817, -0.00632840022444725, 0.019139116629958153, 0.013513639569282532, 0.03500134125351906, 0.001365942065604031, -0.030550990253686905, -0.029921216890215874, -0.0008215531706809998, 0.06081448867917061, 0.03637669235467911, -0.002621860010549426, 0.021340589970350266, 0...
BigSalmon/GPTNeo350MInformalToFormalLincoln2
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
8
2023-02-15T18:17:04Z
--- thumbnail: https://s3.amazonaws.com/moonup/production/uploads/1676494961340-6305db1fcfbde33ef7d480ff.jpeg license: creativeml-openrail-m tags: - stable-diffusion - text-to-image - safetensors --- # Alloy Models ## Brass Mix ![image.png](https://s3.amazonaws.com/moonup/production/uploads/1676493448438-6305db1fcfb...
[ -0.06035872548818588, -0.036254409700632095, -0.007771875709295273, 0.05469699949026108, 0.04069799557328224, 0.004708097316324711, 0.003482998348772526, -0.022250575944781303, -0.02919868193566799, 0.061350900679826736, 0.014758999459445477, 0.00034795497776940465, 0.02190142124891281, 0....
BigSalmon/MrLincoln11
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.040841735899448395, -0.01847320795059204, -0.01565866358578205, 0.036538366228342056, 0.04900883138179779, -0.00590101582929492, -0.012713944539427757, -0.02545899525284767, -0.03150247409939766, 0.05448257550597191, 0.02280265837907791, -0.030275119468569756, 0.017800670117139816, 0.01...
BigSalmon/MrLincoln2
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-01-24T03:52:31Z
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.007309719920158386, -0.03449741750955582, -0.004344964399933815, 0.04266419634222984, 0.05592929571866989, 0.016713248565793037, -0.023384789004921913, -0.00879439152777195, -0.034924399107694626, 0.0398663766682148, -0.001824387814849615, -0.0014146427856758237, 0.0021366789005696774, 0...
BigSalmon/MrLincoln5
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- library_name: diffusers pipeline_tag: text-to-image ---
[ -0.004518445115536451, -0.016415661200881004, 0.012557614594697952, 0.011326544918119907, 0.05047903582453728, -0.0010603456757962704, -0.0070089115761220455, 0.0061096688732504845, -0.021487563848495483, 0.03463907539844513, 0.016410093754529953, 0.012872947379946709, 0.005581676494330168, ...
BigSalmon/MrLincoln6
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
BigSalmon/MrLincolnBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
8
null
--- tags: - generated_from_trainer metrics: - wer model-index: - name: Vin14-P3 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. --> # Vin14-P3 This model is a fine-...
[ -0.03189318627119064, -0.025543343275785446, -0.0018454149831086397, 0.027650685980916023, 0.035025086253881454, 0.008154243230819702, -0.012561967596411705, -0.010173418559134007, -0.023782774806022644, 0.04798825830221176, 0.02786511927843094, -0.029050342738628387, -0.0058778743259608746,...
BigSalmon/PhraseBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
10
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice_8_0 metrics: - wer model-index: - name: wav2vec2-large-xls-r-300m-tr-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_8_0 type: common_v...
[ -0.032827239483594894, 0.0042379191145300865, -0.02105392888188362, 0.035923879593610764, 0.05171404033899307, 0.031907401978969574, -0.018661074340343475, -0.015518189407885075, -0.018241146579384804, 0.05603151395916939, 0.0324312262237072, -0.025637835264205933, 0.007146246265619993, 0....
BigSalmon/SimplifyText
[ "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...
17
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/Moc...
[ -0.008085931651294231, -0.027370842173695564, -0.01399112120270729, 0.03552573546767235, 0.036959368735551834, 0.008429666049778461, -0.020078854635357857, -0.01146729476749897, -0.005582306534051895, 0.05542778596282005, 0.02414107695221901, -0.004498224705457687, 0.01141807995736599, 0.0...
BigSalmon/T52
[ "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...
8
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Testing_rolls_royce Dreambooth model trained by JacobPerera 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 A...
[ -0.032835934311151505, -0.0033179731108248234, -0.01878518797457218, 0.02565484121441841, 0.03670597821474075, 0.010103791020810604, -0.0008776409667916596, 0.0012840734561905265, -0.012518173083662987, 0.034261006861925125, 0.04266238585114479, -0.010017769411206245, -0.0202530138194561, ...
BigSalmon/T5Salmon2
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
13
null
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Aman6917/autotrain-data-tm4_2_big co2_eq_emissions: emissions: 14.618973710629989 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 3033986980 - CO2 Emissions (in grams): 14.6190 ## V...
[ -0.02398388274013996, -0.018465634435415268, 0.0036488918121904135, 0.029317036271095276, 0.03141398727893829, 0.014977209270000458, -0.035881735384464264, -0.02291976474225521, -0.04615919291973114, 0.07706727087497711, 0.02019323967397213, 0.0279098954051733, 0.011442925781011581, 0.0347...
Blabla/Pipipopo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-24T07:37:06Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pbm-cartpole-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - ty...
[ -0.03451462835073471, 0.020511386916041374, 0.0016080245841294527, 0.011083224788308144, 0.04209449142217636, -0.01570304110646248, -0.01767786405980587, -0.01303956937044859, -0.029657110571861267, 0.08462893217802048, 0.019848058000206947, -0.009667422622442245, 0.01759304292500019, 0.01...
Blackmist786/DialoGPt-small-transformers4
[ "pytorch" ]
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...
4
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Testing_rolls_royce_100_steps Dreambooth model trained by JacobPerera with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the con...
[ -0.03067006915807724, -0.0006670872680842876, -0.018290068954229355, 0.02348727360367775, 0.032935578376054764, 0.004428893327713013, 0.003160302061587572, 0.006787471007555723, -0.014499582350254059, 0.03950471058487892, 0.040232349187135696, -0.01212926022708416, -0.02671811543405056, 0....
BonjinKim/dst_kor_bert
[ "pytorch", "jax", "bert", "pretraining", "transformers" ]
null
{ "architectures": [ "BertForPreTraining" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.039563581347465515, -0.01616978459060192, -0.016039928421378136, 0.03719492629170418, 0.04914207383990288, -0.004814690910279751, -0.013113242574036121, -0.02555745653808117, -0.03166060149669647, 0.054324809461832047, 0.022829120978713036, -0.03242187574505806, 0.01846722513437271, 0.0...
Boondong/Wandee
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045662812888622284, -0.001241572666913271, -0.021847160533070564, 0.03244773671030998, 0.04352322593331337, 0.017731791362166405, -0.01843387447297573, -0.030461689457297325, -0.03760230541229248, 0.06915386021137238, 0.022148482501506805, 0.0031971903517842293, 0.014860376715660095, 0....
Botslity/Bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- title: Protengen Web UI emoji: 🪄🖼️ colorFrom: red colorTo: pink sdk: gradio sdk_version: 3.15.0 app_file: app.py pinned: true license: mit --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
[ -0.03136174753308296, -0.010175690986216068, -0.010693159885704517, 0.031715087592601776, 0.040138017386198044, 0.005867727100849152, -0.018926838412880898, -0.002082190942019224, -0.03420066088438034, 0.04937402904033661, -0.01738274097442627, 0.004883291199803352, 0.048661064356565475, 0...
BrianTin/MTBERT
[ "pytorch", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.021730706095695496, -0.004654672462493181, -0.031105883419513702, 0.050984468311071396, 0.06172073259949684, 0.022456999868154526, -0.03146379813551903, 0.0033586265053600073, -0.03490042686462402, 0.049841854721307755, 0.038176462054252625, -0.024011440575122833, 0.012900035828351974, ...
Broadus20/DialoGPT-small-joshua
[ "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
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: tw-sentiment-finetuned results: [] metrics: - accuracy --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment...
[ -0.03080436773598194, -0.025574052706360817, -0.027290984988212585, 0.035340677946805954, 0.0454094335436821, 0.01237705908715725, -0.022449076175689697, 0.002322833752259612, -0.04418674856424332, 0.057553961873054504, 0.02431889809668064, -0.01856767199933529, 0.021174736320972443, 0.037...
CALM/backup
[ "lean_albert", "transformers" ]
null
{ "architectures": [ "LeanAlbertForPretraining", "LeanAlbertForTokenClassification", "LeanAlbertForSequenceClassification" ], "model_type": "lean_albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "len...
4
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.0322994738817215, -0.002756086178123951, -0.020033709704875946, 0.04956403374671936, 0.04010328650474548, 0.026057694107294083, -0.0013910731067880988, -0.036341238766908646, -0.029549045488238335, 0.049382757395505905, 0.023796435445547104, -0.005312688183039427, 0.021808939054608345, ...
CAMeL-Lab/bert-base-arabic-camelbert-da-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05148661509156227, 0.007051233667880297, -0.00783828180283308, 0.05706986039876938, 0.027495549991726875, 0.03135567530989647, -0.003570900997146964, -0.0337677039206028, -0.004815090913325548, 0.05298702418804169, 0.018463563174009323, -0.013791617937386036, 0.009327338077127934, 0.024...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
54
2023-01-24T10:31:14Z
--- 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...
[ -0.016335874795913696, -0.017108649015426636, -0.007211131975054741, 0.030450990423560143, 0.052412230521440506, -0.017022373154759407, -0.0121049415320158, -0.008926315233111382, -0.05781523510813713, 0.05437153950333595, -0.0028255595825612545, -0.009851685725152493, 0.02461972087621689, ...
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "has_space" ]
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...
19,850
2023-01-24T10:38:46Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.62 ...
[ -0.017143871635198593, -0.014666980132460594, -0.007457386236637831, 0.028659578412771225, 0.046133704483509064, -0.0003287652798462659, -0.020654525607824326, 0.008141000755131245, -0.03551260754466057, 0.05234998092055321, 0.018376527354121208, -0.008937042206525803, 0.011357173323631287, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
45
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text g...
[ -0.02216499112546444, -0.005597709212452173, 0.005894309841096401, 0.04671141132712364, 0.053016748279333115, 0.02966972626745701, -0.0140799256041646, -0.009448935277760029, -0.005958332680165768, 0.06362346559762955, 0.02861316315829754, -0.037816837430000305, 0.0052148764953017235, 0.01...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
34
2023-01-24T10:43:36Z
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
[ -0.050424668937921524, -0.01545946765691042, -0.008848043158650398, 0.024684710428118706, 0.053785908967256546, 0.016049528494477272, -0.0021517088171094656, -0.017435848712921143, -0.03488877788186073, 0.06660981476306915, 0.02136356011033058, -0.00784977711737156, 0.009825480170547962, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
null
--- language: - en tags: - anime --- # Trained LoRAs - [Overview](#overview) - [Previews](#previews) # Overview I will upload all of LoRAs that I trained here on my free time. The model I mostly used with these previews will be [AnyV4.5](https://huggingface.co/andite/anything-v4.0) or [AOM2](https://huggingface.co/...
[ 0.0022692303173244, -0.029077637940645218, 0.00556835625320673, 0.06116465479135513, 0.0553932823240757, 0.00011544335575308651, -0.013984554447233677, -0.02406162954866886, -0.03515668585896492, 0.05706610530614853, -0.012405703775584698, -0.020047005265951157, -0.01661376841366291, 0.041...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
2023-01-24T14:10:22Z
--- license: apache-2.0 tags: - vision - depth-estimation - generated_from_trainer model-index: - name: glpn-nyu-finetuned-diode-230124-104649 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.04715839773416519, -0.011518606916069984, 0.005326256155967712, 0.010863547213375568, 0.03448532894253731, 0.01056669745594263, -0.0069524249993264675, -0.008671690709888935, -0.018531404435634613, 0.03980783745646477, 0.026728976517915726, -0.02768351137638092, 0.018613643944263458, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1,862
2023-01-24T10:49:00Z
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # LoRA text2image fine-tuning - https://huggingface.co/pcuenq/pokemon-lora These are LoRA adaption weights trained on base model https...
[ -0.03399762883782387, -0.02315802127122879, -0.023120779544115067, 0.03782594949007034, 0.03055671416223049, 0.011518117040395737, -0.009652115404605865, -0.019541142508387566, -0.018357353284955025, 0.07113610208034515, 0.01887243241071701, -0.02732051908969879, -0.0013235758524388075, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "Arabic", "Dialect", "Egyptian", "Gulf", "Levantine", "Classical Arabic", "MSA", "Modern Standard Arabic", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20,880
2023-01-24T10:57:19Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
75
2023-01-24T10:57:31Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-large-et-children results: [] language: - et library_name: transformers --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread an...
[ -0.032595567405223846, -0.011863050982356071, -0.000745226803701371, 0.04791368171572685, 0.07298079878091812, 0.0004079082573298365, -0.00101115508005023, -0.023198630660772324, -0.036151111125946045, 0.06900585442781448, 0.025204751640558243, -0.04162285104393959, 0.009630345739424229, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
71
2023-01-24T10:58:13Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03324656933546066, -0.003772223833948374, -0.020410504192113876, 0.05011617764830589, 0.040500059723854065, 0.0252966471016407, -0.0010373757686465979, -0.03664321079850197, -0.025771738961338997, 0.04851197451353073, 0.021401088684797287, -0.0052221124060451984, 0.02056219056248665, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
21
2023-01-24T11:01:03Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: vit_model results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default split: train args: default...
[ -0.01636648364365101, -0.005220431834459305, 0.008047391660511494, 0.03034883178770542, 0.04186335578560829, 0.0014949461910873652, -0.01645887829363346, -0.020481981337070465, -0.008109292946755886, 0.05016247183084488, 0.022442063316702843, -0.011531181633472443, 0.0016510299174115062, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
52
2023-01-26T20:13:15Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-libri-train360-colab 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. --> # wav2v...
[ -0.027371076866984367, -0.007495536934584379, -0.011772600002586842, 0.040024787187576294, 0.03687060996890068, 0.0007490275893360376, -0.020708661526441574, 0.0011532217031344771, -0.030613796785473824, 0.0448928102850914, 0.02000766433775425, -0.016214005649089813, -0.010615465231239796, ...
CAUKiel/JavaBERT-uncased
[ "pytorch", "safetensors", "bert", "fill-mask", "java", "code", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-01-24T11:39:40Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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CAUKiel/JavaBERT
[ "pytorch", "safetensors", "bert", "fill-mask", "code", "arxiv:2110.10404", "arxiv:1910.09700", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388
2023-01-24T11:44:05Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
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CBreit00/DialoGPT_small_Rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en thumbnail: http://www.huggingtweets.com/btc-doveywan-eth/1674562085261/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...
[ -0.004804725293070078, -0.041604552417993546, -0.0014948586467653513, 0.04725245013833046, 0.04991959407925606, 0.010224181227385998, -0.01468474417924881, -0.00292598525993526, -0.036714352667331696, 0.03230828046798706, 0.02816104143857956, 0.00036308285780251026, -0.01566489413380623, 0...
CL/safe-math-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-24T11:45:57Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
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CLAck/en-km
[ "pytorch", "marian", "text2text-generation", "transformers", "translation", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
Access to model jinwoo1126/tmp is restricted and you are not in the authorized list. Visit https://huggingface.co/jinwoo1126/tmp to ask for access.
[ -0.04878636449575424, -0.00865702610462904, 0.0043287454172968864, 0.029090426862239838, 0.03653809800744057, 0.0086062578484416, 0.017216820269823074, 0.01539597474038601, -0.04314541816711426, 0.041445743292570114, 0.03702202066779137, -0.011500694788992405, 0.006090078502893448, 0.05019...
CLAck/en-vi
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
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CLTL/MedRoBERTa.nl
[ "pytorch", "roberta", "fill-mask", "nl", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,988
2023-01-24T12:03:12Z
--- 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...
[ -0.017173584550619125, -0.015103374607861042, -0.00815756618976593, 0.025830158963799477, 0.04719477519392967, 0.000037130739656277, -0.019051993265748024, 0.0070687695406377316, -0.037153419107198715, 0.05385489761829376, 0.01689099334180355, -0.006809779442846775, 0.011780350469052792, 0...
CLTL/icf-domains
[ "pytorch", "roberta", "nl", "transformers", "license:mit", "text-classification" ]
text-classification
{ "architectures": [ "RobertaForMultiLabelSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": nul...
35
null
Few prompts: 1. palette knife painting of park with street lights in the style of smangrul 2. citylights painting in the style of smangrul 3. waves hitting the shore painting in the style of smangrul 4. a painting of a dream in the style of smangrul 5. night painting in the style of smangrul Ouputs: ![outputs](https...
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CLTL/icf-levels-enr
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: number_1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_reward ...
[ -0.029810404404997826, 0.017878027632832527, 0.005537249147891998, 0.010562444105744362, 0.04343205317854881, -0.01768047921359539, -0.02135620079934597, -0.01772467792034149, -0.030988803133368492, 0.08364330977201462, 0.017952820286154747, -0.008120642974972725, 0.011369946412742138, 0.0...
CLTL/icf-levels-etn
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
31
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03919897601008415, -0.01590851880609989, -0.01443534530699253, 0.034536536782979965, 0.04815558344125748, -0.004605366848409176, -0.012430748902261257, -0.024412188678979874, -0.030554207041859627, 0.054757364094257355, 0.023432286456227303, -0.032818201929330826, 0.020052282139658928, ...
CLTL/icf-levels-ins
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
null
--- license: creativeml-openrail-m --- https://civitai.com/models/4878/michihasu-model
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CLTL/icf-levels-stm
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
2023-01-24T12:27:06Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: fuatuzumcu --- ### fuatuzumcu Dreambooth model trained by stablemobile with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers...
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CM-CA/Cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
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CM-CA/DialoGPT-small-cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: gpl-3.0 datasets: - multi_woz_v22 language: - en metrics: - bleu - rouge --- Pretrained model: [GODEL-v1_1-base-seq2seq](https://huggingface.co/microsoft/GODEL-v1_1-base-seq2seq/) Fine-tuning dataset: [MultiWOZ 2.2](https://github.com/budzianowski/multiwoz/tree/master/data/MultiWOZ_2.2) # How to use: `...
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CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification
[ "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...
28
null
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
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CNT-UPenn/RoBERTa_for_seizureFrequency_QA
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- language: - en license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # AIAnGenV1
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CSZay/bart
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model DhruvShek/Webraft-Ai is restricted and you are not in the authorized list. Visit https://huggingface.co/DhruvShek/Webraft-Ai to ask for access.
[ -0.036863863468170166, 0.004171547945588827, 0.001037276117131114, 0.0008209024090319872, 0.050403062254190445, 0.008726933971047401, -0.0135405994951725, 0.009580638259649277, -0.0468192920088768, 0.0611497163772583, 0.06051972508430481, 0.013923833146691322, -0.007951143197715282, 0.0414...
CZWin32768/xlm-align
[ "pytorch", "xlm-roberta", "fill-mask", "arxiv:2106.06381", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
6
2023-01-24T12:43:35Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
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Caddy/UD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-24T12:44:07Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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Calamarii/calamari
[]
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: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
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Callidior/bert2bert-base-arxiv-titlegen
[ "pytorch", "safetensors", "encoder-decoder", "text2text-generation", "en", "dataset:arxiv_dataset", "transformers", "summarization", "license:apache-2.0", "autotrain_compatible", "has_space" ]
summarization
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
145
null
--- language: en thumbnail: http://www.huggingtweets.com/btc-eth-vitalikbuterin/1674564747266/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-righ...
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Cameron/BERT-Jigsaw
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
35
null
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
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Cameron/BERT-SBIC-offensive
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
[ -0.050424668937921524, -0.01545946765691042, -0.008848043158650398, 0.024684710428118706, 0.053785908967256546, 0.016049528494477272, -0.0021517088171094656, -0.017435848712921143, -0.03488877788186073, 0.06660981476306915, 0.02136356011033058, -0.00784977711737156, 0.009825480170547962, 0...
Cameron/BERT-SBIC-targetcategory
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: gpl-3.0 --- <img src="https://i.imgur.com/z2ODdOr.jpg" alt="drawing" style="width:300px;"/> # About model A simple model trained on a custom dataset containing over 100 coloring book type images. If you enjoy this model and would like me to improve on it, [buy me a coffe](https://www.buymeacoffee.com/mrh...
[ 0.010758248157799244, -0.015635384246706963, 0.00004716254989034496, 0.049264684319496155, 0.055491793900728226, 0.013401211239397526, 0.0025599985383450985, 0.00015449695638380945, -0.023710377514362335, 0.05698307976126671, 0.01426878571510315, -0.026744084432721138, 0.01203333679586649, ...
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
2/06 いい感じになったTOTFN-5-25ができました 呼び出しは変わらず、補強はnavelが推奨 正則化画像の偏りか髪がグレーになる副作用あり 以前の話 呼び出しは“trick or treatment”のつもりです これで補強したほうがいいかもしれないです“bikini,boot,gloves, layered bikini,purple bikini,pencil skirt,” あんまり把握してないけどさすがLora、いい感じに見えるので
[ -0.024288728833198547, -0.008660928346216679, 0.0018391209887340665, 0.017819933593273163, 0.0137137770652771, -0.007683414500206709, -0.030671225860714912, 0.023104215040802956, 0.006120057310909033, 0.021984035149216652, 0.023683959618210793, -0.008924410678446293, 0.01010952889919281, 0...
Cameron/BERT-jigsaw-identityhate
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixelcopterV2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04015929996967316, 0.015517792664468288, 0.014654455706477165, 0.018934745341539383, 0.0497250035405159, -0.014011966064572334, -0.020657232031226158, -0.024911941960453987, -0.016205118969082832, 0.06779902428388596, 0.03652816638350487, -0.007144102361053228, 0.010591461323201656, -0....
Cameron/BERT-mdgender-convai-ternary
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
38
null
I used the prompts and adopted them from [50 Stable Diffusion Photorealistic Portrait Prompts](https://decentralizedcreator.com/stable-diffusion-photorealistic-portrait-prompts/) Few examples: 1. smangrul, hyperrealistic portrait, bladerunner street, art of elysium by jeremy mann and alphonse mucha, fantasy art, photo ...
[ -0.009915394708514214, -0.024276401847600937, -0.01837252639234066, 0.03687151521444321, 0.051406268030405045, 0.005839031655341387, 0.004199193790555, -0.013980066403746605, -0.020214075222611427, 0.04629281908273697, 0.01769106648862362, -0.01537307444959879, 0.017380543053150177, 0.0415...
Cameron/BERT-mdgender-wizard
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech. This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Aug...
[ -0.050424668937921524, -0.015459494665265083, -0.008848035708069801, 0.024684732779860497, 0.053785912692546844, 0.016049543395638466, -0.0021517202258110046, -0.01743580773472786, -0.034888796508312225, 0.06660978496074677, 0.02136356756091118, -0.007849776186048985, 0.009825486689805984, ...
Canadiancaleb/DialoGPT-small-walter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045709118247032166, -0.0007144532864913344, -0.022265953943133354, 0.03236553445458412, 0.043599605560302734, 0.017869776114821434, -0.0184730663895607, -0.03082757070660591, -0.03711896389722824, 0.06895860284566879, 0.02185678295791149, 0.003374407533556223, 0.014440718106925488, 0.02...
Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.039873164147138596, 0.015344616025686264, 0.01429558265954256, 0.017578816041350365, 0.04946161434054375, -0.0130824726074934, -0.01986415684223175, -0.024071792140603065, -0.017842009663581848, 0.06778367608785629, 0.035644084215164185, -0.008054577745497227, 0.01117690745741129, -0.00...
Canyonevo/DialoGPT-medium-KingHenry
[]
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: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04937665909528732, -0.01613965816795826, -0.008972663432359695, 0.036413878202438354, 0.04109848663210869, 0.0033442568965256214, -0.021343717351555824, -0.010515977628529072, -0.03805302083492279, 0.05692378804087639, 0.02486460469663143, -0.003076027613133192, 0.03202454745769501, 0.0...
CapitainData/wav2vec2-large-xlsr-turkish-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-24T13:30:59Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 config:...
[ -0.00048619561130180955, 0.010532124899327755, -0.014285717159509659, 0.02925894781947136, 0.03785338252782822, 0.011749799363315105, -0.03614138811826706, -0.03749362379312515, -0.03286880999803543, 0.05734219029545784, 0.02753637358546257, -0.013203001581132412, 0.01997310481965542, 0.02...
Capreolus/birch-bert-large-car_mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
4
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03406859561800957, -0.002432339359074831, -0.018886709585785866, 0.050526365637779236, 0.03958393260836601, 0.02525145187973976, -0.0016138901701197028, -0.03634049370884895, -0.028425708413124084, 0.04804263636469841, 0.022998861968517303, -0.004394743125885725, 0.019486933946609497, 0...
Capreolus/birch-bert-large-mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1
null
--- tags: - conversational --- # Harry Potter DialoGPT Model
[ -0.029324309900403023, 0.006045039743185043, 0.013366679660975933, 0.03441562503576279, 0.006410188972949982, 0.018416400998830795, 0.002754970919340849, 0.01534329354763031, -0.019336801022291183, 0.01679832488298416, 0.028363347053527832, -0.033530596643686295, 0.010642274282872677, 0.03...
Captain-1337/CrudeBERT
[ "pytorch", "bert", "text-classification", "arxiv:1908.10063", "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...
28
null
--- license: apache-2.0 language: - en tags: - audio - automatic-speech-recognition - hf-asr-leaderboard pipeline_tag: automatic-speech-recognition --- A fork of https://huggingface.co/openai/whisper-tiny.en exported to ONNX using [Optimum ONNX export](https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_...
[ -0.043001752346754074, -0.01211267989128828, 0.00828351080417633, 0.031173566356301308, 0.03985895588994026, -0.0006292769685387611, -0.011686502024531364, 0.012371576391160488, -0.024844350293278694, 0.06910254806280136, 0.03313617408275604, -0.01298491656780243, 0.014742412604391575, 0.0...
CarlosTron/Yo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
I used the prompts and adopted them from [50 Stable Diffusion Photorealistic Portrait Prompts](https://decentralizedcreator.com/stable-diffusion-photorealistic-portrait-prompts/): 1. A hyperrealistic painting of erenyeager, fantasy art, photo realistic, dynamic lighting, artstation, poster, volumetric lighting, very d...
[ -0.007231139112263918, -0.029910074546933174, -0.012892569415271282, 0.030217964202165604, 0.03740028291940689, -0.007911724038422108, 0.009601780213415623, -0.0251474566757679, -0.018280217424035072, 0.0442659966647625, 0.01617962308228016, -0.012919165194034576, 0.018643468618392944, 0.0...
Cathy/reranking_model
[ "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
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.031478967517614365, -0.0020638247951865196, -0.01986926607787609, 0.04981159418821335, 0.03989312797784805, 0.025957627221941948, -0.0004930510767735541, -0.035387709736824036, -0.02860346809029579, 0.04728426784276962, 0.024118781089782715, -0.0048703295178711414, 0.020035123452544212, ...
dccuchile/albert-large-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04957003518939018, -0.01657492108643055, -0.009071419015526772, 0.03629322722554207, 0.04092562198638916, 0.003369891783222556, -0.021161535754799843, -0.010324312373995781, -0.038115493953228, 0.05699530243873596, 0.024535194039344788, -0.00298022897914052, 0.03174293041229248, 0.00317...
dccuchile/albert-large-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "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...
5
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.05037614330649376, -0.01600077748298645, -0.00838757399469614, 0.036091942340135574, 0.040813859552145004, 0.0022625706624239683, -0.021017631515860558, -0.010852021165192127, -0.03756333887577057, 0.057631559669971466, 0.024684274569153786, -0.003063774900510907, 0.031445860862731934, ...
dccuchile/albert-tiny-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
29
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-fintuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: train ...
[ -0.02702578715980053, -0.0051772575825452805, 0.005397973582148552, 0.01786043681204319, 0.027825159952044487, 0.02977249212563038, -0.023213336244225502, -0.011729788966476917, -0.02478211186826229, 0.05095444619655609, 0.024023430421948433, -0.04124877229332924, 0.007442592177540064, 0.0...
dccuchile/albert-tiny-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- tags: - generated_from_trainer model-index: - name: russian-spellchecking2 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. --> # russian-spellchecking2 This mod...
[ -0.01752106100320816, -0.017656266689300537, -0.00033098694984801114, 0.05595114454627037, 0.0397874191403389, 0.037222970277071, 0.009666860103607178, -0.008170156739652157, -0.07622253149747849, 0.06281991302967072, 0.04335794597864151, -0.003004990052431822, -0.01193990372121334, 0.0407...
dccuchile/albert-tiny-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
31
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.04951975494623184, 0.007576236966997385, -0.007647712714970112, 0.05715196207165718, 0.028447913005948067, 0.031315937638282776, -0.0023916217032819986, -0.033353470265865326, -0.003737005637958646, 0.05160903185606003, 0.018455572426319122, -0.014834634959697723, 0.006672240793704987, ...
dccuchile/albert-xlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: a photo of sloth animal in the Acropolis --- # DreamBooth model for the sloth concept trained by dobis-lks on the dobis-lks/test dataset. This is a...
[ -0.023584000766277313, -0.030769968405365944, -0.02306004986166954, 0.019910596311092377, 0.047101929783821106, 0.028478490188717842, -0.0047495863400399685, 0.005378801375627518, -0.02013220638036728, 0.06197531148791313, 0.015529162250459194, -0.00576418312266469, 0.0027172258123755455, ...
dccuchile/albert-xlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
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, ...
dccuchile/albert-xlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
24
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, ...
dccuchile/albert-xlarge-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
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, ...
dccuchile/albert-xlarge-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "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...
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, ...
dccuchile/albert-xlarge-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
29
null
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
null
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
28
null
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
2023-01-24T14:41:52Z
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "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...
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, ...
dccuchile/albert-xxlarge-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
68
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, ...
dccuchile/albert-base-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
586
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, ...
dccuchile/albert-large-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
75
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, ...
dccuchile/albert-tiny-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
393
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, ...
dccuchile/albert-xlarge-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
91
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, ...
dccuchile/albert-xxlarge-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
42
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, ...
dccuchile/bert-base-spanish-wwm-cased-finetuned-mldoc
[ "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
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, ...