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
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51
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Ayham/distilbert_distilgpt2_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- license: cc-by-nc-4.0 --- https://civitai.com/models/5973 Don't sell anything using my Lora - Don't claim it to be your's - at least Credit me if you used it, (my ego is fragile) - Do not create anything Illegal with my lora (-_-) - and good luck using my lora :D have a good day to any one reading this - ![0205...
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Ayham/distilbert_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- license: unknown language: - en tags: - Cybersecurity - Information Security - Computer Science --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base model for cybersecurity Tasks. # Model Details ## Model Description <!-- Provide a longer su...
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Ayham/distilbert_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-01-31T07:59:50Z
--- tags: - generated_from_trainer model-index: - name: distilbert-base-uncased 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. --> # distilbert-base-uncased This m...
[ -0.02362712286412716, 0.0034765484742820263, -0.03366668149828911, 0.036595821380615234, 0.05039328709244728, 0.018596196547150612, -0.01240392867475748, -0.021236026659607887, -0.048311952501535416, 0.06231367960572243, 0.029970549046993256, -0.028045007959008217, -0.0013111992739140987, ...
Ayham/distilbert_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
14
2023-01-31T08:01:07Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-uncased-finetuned-DA-Zero-shot-20 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.005860162433236837, 0.018958620727062225, -0.008312156423926353, 0.039513178169727325, 0.04635992646217346, -0.0015662371879443526, -0.014657753519713879, -0.039579201489686966, -0.02819899655878544, 0.044610340148210526, 0.009918542578816414, -0.023727545514702797, 0.01788424700498581, ...
Ayham/ernie_gpt2_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
13
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-base-extraction-cnndm_fs0.01-all 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. --> #...
[ -0.042104288935661316, -0.015368683263659477, 0.0003268210857640952, 0.018280422315001488, 0.03554316610097885, 0.013935700990259647, -0.010876982472836971, -0.01815774105489254, -0.041095733642578125, 0.050269030034542084, 0.03511873632669449, -0.008119764737784863, -0.006504638120532036, ...
Ayham/xlnet_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
null
--- tags: - spacy - token-classification language: - grc model-index: - name: grc_homercy_treebanks_sm results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.8635029354 - name: NER Recall type: recall value: 0.884...
[ 0.004877904895693064, -0.03610695153474808, -0.02485179342329502, 0.024503013119101524, 0.05254877731204033, 0.023677164688706398, -0.025330720469355583, 0.013552473857998848, -0.04794648289680481, 0.06188608705997467, 0.027681101113557816, -0.006635028403252363, 0.005281692836433649, 0.04...
Ayham/xlnetgpt2_xsum7
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-01-31T08:50:49Z
--- tags: - spacy - token-classification language: - en model-index: - name: en_pipeline results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9952305246 - name: NER Recall type: recall value: 0.9984051037 - ...
[ 0.013128435239195824, -0.013378231786191463, -0.012305219657719135, 0.030522048473358154, 0.06525973230600357, 0.013355450704693794, -0.02763655036687851, -0.011456995271146297, -0.04478371888399124, 0.056082870811223984, 0.03150705248117447, 0.0040642255917191505, 0.014327524229884148, 0....
Ayjayo/DialoGPT-medium-AyjayoAI
[ "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
Access to model junujunu/roberta_128_spacing is restricted and you are not in the authorized list. Visit https://huggingface.co/junujunu/roberta_128_spacing to ask for access.
[ -0.033537525683641434, 0.012476785108447075, -0.015512931160628796, 0.007421731483191252, 0.05793938785791397, 0.020022405311465263, 0.005350779742002487, 0.0013425206998363137, -0.036162812262773514, 0.03389307111501694, 0.025371307507157326, -0.0035229134373366833, 0.0095820352435112, 0....
Ayta/Haha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: test-model results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # test-model This model ...
[ -0.033238623291254044, -0.020165633410215378, -0.010845589451491833, 0.038357269018888474, 0.031872402876615524, 0.020039089024066925, -0.005714950617402792, -0.01969558745622635, -0.04154372587800026, 0.0483035109937191, 0.007529596332460642, -0.022980310022830963, 0.01790342479944229, 0....
Ayu/Shiriro
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-finetuned-prompt-20 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. --> ...
[ -0.013612903654575348, 0.014770600013434887, -0.017260655760765076, 0.050037987530231476, 0.04170779511332512, 0.0022944766096770763, -0.013663092628121376, -0.027521681040525436, -0.0308526661247015, 0.05242720991373062, 0.008365199901163578, -0.026997288689017296, 0.0196809284389019, 0.0...
Ayumi/Jovana
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: roberta-base-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 remove this comment. --> # roberta-base-...
[ -0.03869002312421799, -0.01280976366251707, -0.003216205397620797, 0.02073868177831173, 0.027458468452095985, 0.031977321952581406, -0.02628219500184059, 0.008120431564748287, -0.03809957206249237, 0.03703046590089798, 0.037178218364715576, -0.027076760306954384, 0.015617073513567448, 0.04...
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad
[ "pytorch", "electra", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "ElectraForQuestionAnswering" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
2023-01-31T09:30:43Z
--- license: bigscience-bloom-rail-1.0 language: - en library_name: diffusers tags: - stable-diffusion - text-to-image --- # pony-diffusion-g5 - a new generation ~~of waifus~~ **UPDATE:** Plot twist I made a new version of this model which has much higher quality and is based on LoCon and with Mane 5 + Misty! [pony-...
[ -0.011754880659282207, -0.011705953627824783, 0.005405680276453495, 0.03213495761156082, 0.024175208061933517, 0.002681007841601968, 0.0000890889932634309, -0.01576441526412964, -0.014473022893071175, 0.03298370540142059, 0.024599909782409668, -0.007194243371486664, 0.016731735318899155, 0...
Azaghast/GPT2-SCP-Descriptions
[ "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...
5
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01970268413424492, -0.018110135570168495, -0.005448363721370697, 0.029955843463540077, 0.050480328500270844, -0.018431751057505608, -0.011261082254350185, -0.010278286412358284, -0.05954508110880852, 0.05298282206058502, -0.002685092156752944, -0.007836195640265942, 0.027079690247774124, ...
Azaghast/GPT2-SCP-Miscellaneous
[ "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...
5
2023-01-31T09:55:19Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.73 ...
[ -0.02220388501882553, -0.01618964411318302, -0.006200271658599377, 0.02539180964231491, 0.045606665313243866, -0.0017024556873366237, -0.018804900348186493, 0.0052086119540035725, -0.03732647746801376, 0.05362004041671753, 0.018061088398098946, -0.004749607294797897, 0.014504649676382542, ...
Azuris/DialoGPT-medium-envy
[ "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: other language: - en inference: false widget: - text: "How do I download this model?" example_title: "Text Gen Example" --- # OPT-19M-ChatSalad This is an experimental OPT-based model with 19 million parameters trained entirely **from scratch** as a datasetting practice. Thus, it should not be subject...
[ -0.010326934047043324, -0.007573692128062248, -0.011282564140856266, 0.03852471336722374, 0.050768330693244934, 0.026315875351428986, -0.0014763051876798272, 0.020600559189915657, -0.030712435021996498, 0.04272797331213951, 0.03985777497291565, -0.00045256808516569436, 0.023586826398968697, ...
Azuris/DialoGPT-medium-senorita
[ "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 metrics: - wer model-index: - name: wav2vec2-xls-r-300m-th-v7_0 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....
[ -0.019877105951309204, -0.005999714136123657, -0.019836507737636566, 0.02266506850719452, 0.03269915282726288, 0.01666261814534664, -0.01820845529437065, 0.0066748191602528095, -0.029722103849053383, 0.05332130193710327, 0.027785226702690125, -0.02293110452592373, 0.006046312395483255, 0.0...
BJTK2/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_keras_callback model-index: - name: pretrained-m-bert-500 results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # pretrained-m-bert-500 This mode...
[ -0.01875654235482216, -0.003984332550317049, -0.0048744212836027145, 0.036032937467098236, 0.029503200203180313, 0.0010787228820845485, -0.03209343180060387, -0.01998596079647541, -0.030413569882512093, 0.0436115600168705, 0.0048682354390621185, -0.03587441146373749, 0.00907565001398325, 0...
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
2023-01-31T10:14:50Z
--- 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 ...
[ -0.037631284445524216, -0.0027633795980364084, -0.005287632346153259, 0.025493638589978218, 0.04560639336705208, -0.021099846810102463, -0.005773776676505804, -0.027424808591604233, -0.032833755016326904, 0.06652764976024628, 0.03230811655521393, -0.023750845342874527, 0.023456888273358345, ...
BSC-LT/RoBERTalex
[ "pytorch", "roberta", "fill-mask", "es", "dataset:legal_ES", "dataset:temu_legal", "arxiv:2110.12201", "transformers", "legal", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine 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. --...
[ -0.028947291895747185, -0.0024026702158153057, -0.0045669665560126305, 0.034921593964099884, 0.03726954758167267, 0.032455649226903915, -0.016571035608649254, -0.011415630578994751, -0.03914673998951912, 0.057890258729457855, 0.022782208397984505, -0.020804554224014282, -0.004750462248921394...
BSC-LT/gpt2-large-bne
[ "pytorch", "gpt2", "text-generation", "es", "dataset:bne", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine 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. --...
[ -0.028643811121582985, -0.002435942180454731, -0.004574601538479328, 0.03541820868849754, 0.03701566904783249, 0.03283507376909256, -0.016833240166306496, -0.01043335534632206, -0.039299048483371735, 0.05756481736898422, 0.022546684369444847, -0.021134478971362114, -0.0049374899826943874, ...
BSC-LT/roberta-base-biomedical-es
[ "pytorch", "roberta", "fill-mask", "es", "arxiv:2109.03570", "arxiv:2109.07765", "transformers", "biomedical", "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...
161
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: gpt_trinity_2_4_3e-5_lp5_nb5 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. --> # g...
[ -0.033093031495809555, -0.01475871168076992, -0.005607208702713251, 0.013129292987287045, 0.034783780574798584, 0.007385772652924061, 0.0008468967280350626, 0.004169687628746033, -0.030396170914173126, 0.025614779442548752, 0.016576897352933884, -0.014749165624380112, 0.0015911523951217532, ...
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
--- datasets: - allenai/soda language: - de metrics: - bleu pipeline_tag: text-classification tags: - code ---
[ -0.006736467592418194, -0.010467387735843658, 0.008357688784599304, 0.012539499439299107, 0.05910366401076317, 0.00640450743958354, -0.01809082366526127, -0.001778524136170745, -0.04036616161465645, 0.05924356356263161, 0.03661777824163437, 0.0014008181169629097, -0.0017563040601089597, 0....
BSC-LT/roberta-base-ca
[ "pytorch", "roberta", "fill-mask", "ca", "transformers", "masked-lm", "BERTa", "catalan", "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...
18
null
--- language: - tr license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer metrics: - wer model-index: - name: base Turkish Whisper (bTW) results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.023532463237643242, 0.005631694104522467, -0.008866159245371819, 0.06187475100159645, 0.027957137674093246, 0.010943175293505192, -0.015453658998012543, 0.01091062556952238, -0.02350684255361557, 0.06628352403640747, 0.03431046009063721, -0.04304201900959015, 0.0022487426176667213, 0.03...
BSC-LT/roberta-large-bne-capitel-pos
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "pos", "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_...
13
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine 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. --...
[ -0.028942322358489037, -0.0021948786452412605, -0.004615505691617727, 0.03546145558357239, 0.03775714710354805, 0.03304107114672661, -0.01692136563360691, -0.010570542886853218, -0.039499249309301376, 0.057429902255535126, 0.023046260699629784, -0.020600970834493637, -0.0044326456263661385, ...
BSen/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- tags: - autotrain - vision - image-classification datasets: - ashutoshmondal/autotrain-data-pneumo widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title: Te...
[ -0.013836728408932686, -0.013925285078585148, 0.01796317845582962, 0.04345820099115372, 0.048509612679481506, -0.0016552777960896492, -0.012300289236009121, 0.0010264699812978506, -0.03661701828241348, 0.06338158994913101, -0.005130358971655369, 0.005152641795575619, 0.005103390663862228, ...
BW/TEST
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- library_name: stable-baselines3 tags: - 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 ...
[ -0.036921728402376175, -0.002407137304544449, -0.005360124632716179, 0.02546738274395466, 0.045714303851127625, -0.021145515143871307, -0.0053047859109938145, -0.027844209223985672, -0.0328146331012249, 0.06667092442512512, 0.03285684809088707, -0.023648297414183617, 0.022622428834438324, ...
Badr/model1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.021601947024464607, -0.016074176877737045, -0.009098762646317482, 0.030308112502098083, 0.06028556078672409, -0.019777966663241386, -0.010378005914390087, -0.0077023194171488285, -0.05557286739349365, 0.05694804713129997, -0.001599330105818808, -0.005837574601173401, 0.01770956628024578, ...
Bagus/ser-japanese
[]
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: - de license: apache-2.0 tags: - voice - classification - emotion - speech - audio datasets: - emo-DB widget: - src: >- https://huggingface.co/padmalcom/wav2vec2-large-emotion-detection-german/resolve/main/test.wav example_title: Sample 1 pipeline_tag: audio-classification metrics: - accuracy --- Th...
[ -0.025082087144255638, -0.0035249062348157167, -0.0008670017123222351, 0.024594148620963097, 0.05996894836425781, 0.025464357808232307, -0.0005908613675273955, 0.005309241358190775, -0.03297264128923416, 0.06873646378517151, 0.0297489482909441, -0.042368315160274506, 0.022624000906944275, ...
Bagus/wav2vec2-large-xlsr-bahasa-indonesia
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "el", "dataset:common_voice_id_6.1", "transformers", "audio", "speech", "bahasa-indonesia", "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...
12
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Q-Learning-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50...
[ -0.023126572370529175, -0.013848137110471725, -0.009033971466124058, 0.025131264701485634, 0.056625913828611374, -0.003624663455411792, -0.017278628423810005, 0.008761388249695301, -0.03574452921748161, 0.05545817315578461, 0.015575757250189781, -0.0030776038765907288, 0.004603573586791754, ...
Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition
[ "pytorch", "tensorboard", "wav2vec2", "el", "dataset:aesdd", "transformers", "audio", "audio-classification", "speech", "license:apache-2.0" ]
audio-classification
{ "architectures": [ "Wav2Vec2ForSpeechClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
21
null
--- license: mit tags: - generated_from_trainer model-index: - name: result 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. --> # result This model is a fine-tuned ...
[ -0.03641951456665993, -0.005312546622008085, -0.013238306157290936, 0.03736533224582672, 0.03258248418569565, 0.03345935046672821, -0.015575120225548744, -0.007459744345396757, -0.02625606395304203, 0.05859299749135971, 0.0329570509493351, -0.024989740923047066, 0.009246652945876122, 0.040...
BalajiSathesh/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 datasets: - squad_v2 language: - en metrics: - f1 - accuracy library_name: adapter-transformers pipeline_tag: question-answering ---
[ -0.025359880179166794, -0.007173375692218542, -0.005121014546602964, 0.02122962661087513, 0.05849093571305275, -0.00520956888794899, -0.014239931479096413, 0.039419885724782944, -0.05083928629755974, 0.03595356270670891, 0.031873103231191635, 0.014789877459406853, 0.01655535213649273, 0.03...
Banshee/LukeSkywalker
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-31T11:47:26Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04203927889466286, -0.0016248872270807624, -0.009412281215190887, 0.049471285194158554, 0.030531125143170357, 0.02191060781478882, -0.025738589465618134, -0.03785567358136177, -0.00588829442858696, 0.04954070597887039, 0.019204508513212204, -0.008317160420119762, 0.020874405279755592, 0...
Barleysack/AERoberta
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
2023-02-01T11:57:33Z
--- tags: - molecular language model - SELFIES - molecule generation widget: - text: '[C][=C][C][=C][C][=C][Ring1][=Branch1]' inference: false --- # MolGen-large MolGen-large was introduced in the paper ["Molecular Language Model as Multi-task Generator"](https://arxiv.org/pdf/2301.11259.pdf) and first released in [thi...
[ -0.0074685500003397465, -0.031366948038339615, -0.0026898798532783985, 0.04939819499850273, 0.03834526240825653, 0.03746969625353813, -0.016379447653889656, -0.004652274306863546, -0.017622362822294235, 0.04042806848883629, 0.04211515188217163, 0.004211141727864742, -0.011564233340322971, ...
Barytes/hellohf
[ "tf", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "transformers", "exbert", "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...
2
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Shanghai Dreambooth model trained by WoodRoof with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fa...
[ -0.054968155920505524, -0.00887336302548647, -0.029393861070275307, 0.032111819833517075, 0.03738886117935181, 0.004840596579015255, 0.0021839793771505356, 0.02150103449821472, -0.03170675411820412, 0.046716153621673584, 0.03679933398962021, 0.026063816621899605, -0.027173424139618874, 0.0...
Batsy24/DialoGPT-medium-Twilight_BellaBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine-distilbert 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 ...
[ -0.0031605041585862637, -0.005185065325349569, -0.009520456194877625, 0.05745416134595871, 0.05107371136546135, 0.021545328199863434, -0.023446597158908844, -0.022001836448907852, -0.03572690114378929, 0.06960825622081757, 0.012207362800836563, -0.03241600841283798, -0.001726520829834044, ...
BatuhanYilmaz/bert-finetuned-mrpc
[]
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: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-finetuned-subjqa-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # roberta-f...
[ -0.022473957389593124, -0.03593127802014351, -0.00603350717574358, 0.022391939535737038, 0.034044139087200165, 0.027642719447612762, -0.026610488072037697, 0.009431279264390469, -0.0433996208012104, 0.034236837178468704, 0.026070067659020424, -0.01684143766760826, 0.015303580090403557, 0.0...
BatuhanYilmaz/mlm-finetuned-imdb
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - autotrain - vision - image-classification datasets: - ashutoshmondal/autotrain-data-pneumo-v3 widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title:...
[ -0.013528740964829922, -0.01223886851221323, 0.018326198682188988, 0.04291560500860214, 0.047165751457214355, -0.0036131038796156645, -0.012285850942134857, 0.0021554180420935154, -0.03685978055000305, 0.06334778666496277, -0.005539193749427795, 0.004373365547508001, 0.003769473172724247, ...
Baybars/wav2vec2-xls-r-1b-turkish
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer" ]
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...
13
null
--- tags: - TensorRT - Text2Image - Stable Diffusion - Image2Image - SDA --- # andite/anything-v4.0 converted into TensorRT <a href="https://github.com/chavinlo/sda-node/"><img src="https://i.imgur.com/fQS926g.png"></a> Model converted from diffusers into TensorRT for accelerated inference up to 4x faster. For how...
[ 0.002927045337855816, -0.03705626353621483, -0.008672322146594524, 0.032233115285634995, 0.04654813930392265, 0.0017992419889196754, -0.008748426102101803, 0.003592840163037181, -0.040611810982227325, 0.056731972843408585, -0.005530826281756163, 0.008530285209417343, 0.012817352078855038, ...
Baybars/wav2vec2-xls-r-300m-cv8-turkish
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer", "hf-asr-leaderboard", "robust-speech-event", "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...
5
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.0244944766163826, -0.02413768880069256, -0.020556431263685226, 0.058837633579969406, 0.0315181165933609, 0.03327687457203865, -0.018301118165254593, 0.008131924085319042, -0.06517957150936127, 0.08087839931249619, 0.028109995648264885, 0.011448300443589687, 0.009130367077887058, 0.03790...
BeIR/query-gen-msmarco-t5-base-v1
[ "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...
1,816
null
--- tags: - spacy - text-classification language: - en model-index: - name: en_textcat_sales_in results: [] --- | Feature | Description | | --- | --- | | **Name** | `en_textcat_sales_in` | | **Version** | `0.0.4` | | **spaCy** | `>=3.4.3,<3.5.0` | | **Default Pipeline** | `textcat` | | **Components** | `textcat` | | ...
[ 0.0004360514285508543, -0.013948529958724976, -0.014296411536633968, 0.036291755735874176, 0.05585121363401413, 0.016864348202943802, -0.005219704937189817, 0.00937948003411293, -0.03853433206677437, 0.053307659924030304, 0.03146136552095413, -0.004974930081516504, 0.018950557336211205, 0....
BeIR/query-gen-msmarco-t5-large-v1
[ "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...
1,225
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - xlcost-text-to-code model-index: - name: flan-t5-xl-codeparrot-xlcost-text-to-code results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.03154512867331505, -0.01565505564212799, -0.004698450211435556, 0.046199243515729904, 0.04253746569156647, 0.013208581134676933, -0.010995432734489441, -0.01988920010626316, -0.004688415210694075, 0.04007493332028389, 0.023280777037143707, -0.015306733548641205, -0.007245311047881842, 0...
Bee-Garbs/DialoGPT-real-cartman-small
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
# 禁止将他人成品图进行转绘,除非你有对方的授权! **hi,你好 ~** 这个项目最初是由于天刀明月刀生产同人图极为困难而建立的,用AI来代替P图、画图的工作,大幅度减少同人创作的难度及工作量,AI绘画具有泛用性,理论上本帖所有资源都可以用于国风游戏,例如**剑网三、逆水寒、仙剑**等。 所有文件都是网络搜集而来,我将资源整合分享给你,程序与教程文件你都可以在**Files and versions(手机上是Files)**中下载获取,下载时推荐用第三方下载器,例如IDM与XDown,可以更快的下载,但在哪之前,请先来看下文件的简介说明。 **推荐显卡是N卡的电脑使用,**不是的话也可以用,就是CPU生成速度非常慢,**贴...
[ -0.020715832710266113, -0.043083593249320984, 0.01440370362251997, 0.04730810970067978, 0.03064468689262867, -0.0024904413148760796, 0.006541042122989893, -0.03205721080303192, -0.03518720343708992, 0.04389744624495506, 0.022313769906759262, 0.02665611542761326, 0.024259179830551147, 0.043...
Bhumika/roberta-base-finetuned-sst2
[ "pytorch", "tensorboard", "roberta", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "model-index" ]
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, "...
85
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021233724430203438, -0.005959887523204088, 0.00992739200592041, 0.038732074201107025, 0.03213376924395561, 0.015461880713701248, -0.028164563700556755, -0.015816576778888702, -0.015644613653421402, 0.061034198850393295, 0.006424631457775831, 0.0009352295310236514, 0.01019332930445671, 0...
Bhuvana/t5-base-spellchecker
[ "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...
93
null
--- license: gpl-3.0 --- Pre-trained word embeddings using the text of published clinical case reports. These embeddings use 600 dimensions and were trained using the word2vec algorithm on published clinical case reports found in the [PMC Open Access Subset](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). See the...
[ -0.022710535675287247, -0.017248602584004402, -0.005520362872630358, 0.04428960755467415, 0.03131360933184624, 0.040620461106300354, 0.0036181174218654633, -0.0223403163254261, -0.020077193155884743, 0.04552048444747925, 0.0257398821413517, 0.02751048468053341, 0.0016993101453408599, 0.040...
Biasface/DDDC2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007552311755716801, 0.005649992730468512, -0.017134305089712143, 0.01596244052052498, 0.059224989265203476, -0.02877841331064701, 0.007806194014847279, -0.03389210253953934, -0.027412714436650276, 0.06636208295822144, 0.027272600680589676, -0.02771182917058468, -0.0014643503818660975, 0...
BigBoy/model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: from_scratch 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. --> # from_scratch This model is a fine-tuned v...
[ -0.0227788295596838, -0.00994895026087761, -0.0026679581496864557, 0.029303696006536484, 0.0327783040702343, 0.0008328675176016986, -0.016739927232265472, -0.01187880802899599, -0.04452398046851158, 0.06264678388834, 0.00852466095238924, -0.02355268783867359, 0.002551745157688856, 0.039375...
BigSalmon/BertaMyWorda
[ "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...
8
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.022978322580456734, -0.013371148146688938, 0.010066371411085129, 0.03136784955859184, 0.02302522584795952, 0.024804674088954926, 0.005173724610358477, -0.008852475322782993, -0.006901355925947428, 0.06298530101776123, -0.0006846658070571721, -0.014341309666633606, 0.023368600755929947, ...
BigSalmon/BestMask2
[ "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...
10
null
--- license: mit datasets: - natural_questions language: - en ---
[ -0.015168210491538048, -0.006461990065872669, -0.011093644425272942, 0.015487908385694027, 0.029651304706931114, 0.0194627046585083, 0.006523151881992817, 0.014847785234451294, -0.0346669927239418, 0.028889257460832596, 0.021588275209069252, 0.0071234689094126225, 0.05266556888818741, 0.05...
BigSalmon/BlankSlots
[ "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...
4
2023-01-31T14:09:33Z
--- license: creativeml-openrail-m --- Fantasy.ai is the official and exclusive hosted AI generation platform that holds a commercial use license for GalaxyTimeMachine, you can use their service at https://fantasy.ai/ Please report any unauthorized commercial use. No models using any license other than the standard cr...
[ -0.027515292167663574, -0.013001449406147003, 0.00897215772420168, 0.0032553651835769415, 0.04365140199661255, 0.01941285841166973, 0.003989539109170437, -0.013830357231199741, -0.027452338486909866, 0.013462958857417107, 0.0902017205953598, 0.032690830528736115, 0.005037009250372648, 0.03...
BigSalmon/FormalBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
10
2023-01-31T14:13:58Z
--- language: - es library_name: nemo datasets: - mozilla-foundation/common_voice_12_0 tags: - automatic-speech-recognition model-index: - name: stt_es_citrinet_512_gamma_0_25 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Mozilla Common V...
[ -0.012826390564441681, -0.012660142965614796, -0.020137814804911613, 0.0240437313914299, 0.05010564252734184, 0.021429451182484627, -0.010535970330238342, -0.018396394327282906, -0.049249984323978424, 0.06916078180074692, 0.011711818166077137, -0.012114656157791615, 0.013317015022039413, 0...
BigSalmon/FormalBerta2
[ "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...
16
2023-01-31T14:14:11Z
--- license: mit tags: - pytorch - diffusers - unconditional-audio-generation - diffusion-models-class --- # Model Card for Unit 4 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional audio generation of music in the genre Electron...
[ -0.03229965269565582, -0.005993238650262356, -0.008623878471553326, 0.03807469829916954, 0.01753498613834381, 0.04928675666451454, 0.006195349618792534, -0.009207700379192829, -0.018910067155957222, 0.06111220642924309, 0.02500298246741295, -0.007726579438894987, 0.016383633017539978, 0.04...
BigSalmon/FormalRobertaa
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- tags: - generated_from_trainer model-index: - name: xlm-twitter-toxicity-test results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlm-twitter-toxicity-test Th...
[ -0.02580285631120205, -0.02398635633289814, -0.0018446806352585554, 0.04323990270495415, 0.03293270617723465, 0.038594283163547516, -0.011022217571735382, -0.02400066889822483, -0.03839539736509323, 0.02972964197397232, 0.04311196133494377, -0.02393939159810543, 0.002211467595770955, 0.027...
BigSalmon/FormalRobertaaa
[ "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...
12
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-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 remove this comment. -->...
[ -0.01896597631275654, -0.0133772362023592, -0.021856149658560753, 0.04347022995352745, 0.04873977228999138, 0.028286486864089966, -0.0372893288731575, 0.011530512012541294, -0.024424472823739052, 0.036914143711328506, 0.0356941781938076, -0.005229295697063208, 0.026960095390677452, 0.03935...
BigSalmon/GPT2HardandEasy
[ "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
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 ...
[ -0.037160832434892654, -0.002756166271865368, -0.005309083499014378, 0.02568238228559494, 0.04570389911532402, -0.02164248190820217, -0.005347141996026039, -0.02827678620815277, -0.03345178812742233, 0.06659968942403793, 0.03294248506426811, -0.023327095434069633, 0.022565027698874474, 0.0...
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
null
Access to model Wazzko/berdnikovich is restricted and you are not in the authorized list. Visit https://huggingface.co/Wazzko/berdnikovich to ask for access.
[ -0.03022690862417221, -0.01596844382584095, -0.0021225304808467627, 0.019762683659791946, 0.04079721122980118, 0.01299592386931181, -0.0010105690453201532, 0.0070191859267652035, -0.04416559636592865, 0.044129010289907455, 0.07134965062141418, -0.013409050181508064, -0.0032516985666006804, ...
BigSalmon/GPTNeo350MInformalToFormalLincoln5
[ "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...
11
null
--- license: creativeml-openrail-m language: - en library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion - stable-diffusion-diffusers ---
[ -0.012961182743310928, -0.004660249222069979, -0.016250813379883766, 0.008035657927393913, 0.04557838663458824, 0.002479173941537738, 0.0030532509554177523, 0.005575895309448242, -0.01775454171001911, 0.04863140732049942, 0.014101746492087841, 0.0007026335806585848, 0.01644238829612732, 0....
BigSalmon/GPTT
[ "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
Access to model junujunu/ko-roberta-128 is restricted and you are not in the authorized list. Visit https://huggingface.co/junujunu/ko-roberta-128 to ask for access.
[ -0.038234032690525055, 0.009351437911391258, -0.0015921259764581919, 0.00986899621784687, 0.060445524752140045, 0.015664948150515556, -0.009289009496569633, -0.011420456692576408, -0.041154079139232635, 0.031220071017742157, 0.03262482210993767, -0.010067028924822807, 0.008864175528287888, ...
BigSalmon/InformalToFormalLincoln14
[ "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...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wikitext metrics: - accuracy model-index: - name: distilbert_add_pre-training-dim-96 results: - task: name: Masked Language Modeling type: fill-mask dataset: name: wikitext wikitext-103-raw-v1 type: wikitext config:...
[ 0.009418362751603127, -0.011353123001754284, -0.0353546142578125, 0.0371885746717453, 0.04759199172258377, 0.030505187809467316, -0.01279296912252903, -0.029770860448479652, -0.02984684519469738, 0.07425234466791153, 0.017516734078526497, -0.01254478469491005, 0.008973939344286919, 0.04095...
BigSalmon/InformalToFormalLincoln19
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- 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...
[ -0.018688980489969254, -0.017476189881563187, -0.0056387558579444885, 0.02870655432343483, 0.051629140973091125, -0.018849607557058334, -0.010237524285912514, -0.007920618169009686, -0.05897681787610054, 0.05338190868496895, -0.0031758195254951715, -0.00948611181229353, 0.025542110204696655,...
BigSalmon/InformalToFormalLincoln21
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: cc-by-2.0 --- + Kudou_Chitose: ![image](https://huggingface.co/regnore/Kudou_Chitose_LoRA/resolve/main/img/v1.png) + Kudou_Chitose_v2: ![image](https://huggingface.co/regnore/Kudou_Chitose_LoRA/resolve/main/img/v2.png) + Kudou_Chitose_SD: ![image](https://huggingface.co/regnore/Kudou_Chitos...
[ 0.008840187452733517, -0.031496867537498474, -0.006960716098546982, 0.039841048419475555, 0.03933323919773102, -0.02509411796927452, -0.011918636038899422, -0.004900558385998011, -0.026054622605443, 0.06744682043790817, 0.002969772554934025, -0.002525155432522297, 0.037786684930324554, 0.0...
BigSalmon/InformalToFormalLincoln22
[ "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...
6
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03740173578262329, -0.0026052244938910007, -0.004524643998593092, 0.025813493877649307, 0.045297663658857346, -0.02151840552687645, -0.005142972804605961, -0.02842334657907486, -0.03390030562877655, 0.06651700288057327, 0.03240245580673218, -0.023861438035964966, 0.02290540188550949, 0....
BigSalmon/InformalToFormalLincoln24
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: result 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. --> # result This model is a fine...
[ -0.024595040827989578, -0.003994522616267204, -0.02381274849176407, 0.041926201432943344, 0.03598775342106819, 0.0322665199637413, -0.010962779633700848, -0.012679832987487316, -0.03772059455513954, 0.05830718204379082, 0.045531559735536575, -0.018465569242835045, 0.013358554802834988, 0.0...
BigSalmon/InformalToFormalLincoln25
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
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 ...
[ -0.03967003524303436, -0.01651487685739994, -0.01621301658451557, 0.03657560795545578, 0.049506112933158875, -0.005730491131544113, -0.013871341943740845, -0.023813147097826004, -0.032239608466625214, 0.054639797657728195, 0.023211756721138954, -0.03229839354753494, 0.018640588968992233, 0...
BigSalmon/MrLincoln
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
Access to model Owishiboo/correctnesschorus_v2 is restricted and you are not in the authorized list. Visit https://huggingface.co/Owishiboo/correctnesschorus_v2 to ask for access.
[ -0.03325266391038895, -0.00527485366910696, 0.014199178665876389, 0.016927441582083702, 0.04367537423968315, 0.003804657841101289, 0.0037278567906469107, 0.012690943665802479, -0.058262646198272705, 0.062035251408815384, 0.04744727909564972, 0.008943619206547737, 0.018655190244317055, 0.01...
BigSalmon/MrLincoln10
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- 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...
[ -0.010096119716763496, 0.01009256113320589, -0.028052084147930145, 0.0370466373860836, 0.06145968660712242, 0.03243188560009003, -0.02228170819580555, -0.036163803189992905, -0.033278074115514755, 0.05732917785644531, 0.018528392538428307, -0.04560316726565361, 0.03441552817821503, 0.04462...
BigSalmon/MrLincoln13
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - generated_from_trainer datasets: - common_voice metrics: - wer model-index: - name: wav2vec2-large-xls-r-300m-turkish-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice type: common_voice config: tr ...
[ -0.01930207572877407, 0.0006794695509597659, -0.027341406792402267, 0.049496542662382126, 0.05205954238772392, 0.024841321632266045, -0.004745005629956722, -0.009044348262250423, -0.026355957612395287, 0.060602787882089615, 0.02773170731961727, -0.027900710701942444, -0.011086954735219479, ...
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
--- 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...
[ -0.031161800026893616, -0.0029034684412181377, -0.020001573488116264, 0.05024707317352295, 0.040970031172037125, 0.025103915482759476, -0.001163935987278819, -0.03676329553127289, -0.029102036729454994, 0.047438766807317734, 0.024380456656217575, -0.004218370653688908, 0.01958625018596649, ...
BigSalmon/MrLincoln7
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
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
2023-01-31T15:43:59Z
--- license: creativeml-openrail-m language: - en library_name: diffusers pipeline_tag: text-to-image tags: - ' stable-diffusion' - stable-diffusion-diffusers duplicated_from: xiaolxl/Gf_style --- # Gf_style - 介绍 欢迎使用Gf_style模型 - 这是一个中国华丽古风风格模型,也可以说是一个古风游戏角色模型,具有2.5D的质感。这是一个模型系列,会在未来不断更新模型。 2.0版本已发布:[https://huggingf...
[ -0.02155682072043419, -0.03449118882417679, 0.004368260968476534, 0.03441689908504486, 0.046873509883880615, 0.02462529018521309, 0.00043991056736558676, -0.004855170380324125, -0.015575136989355087, 0.04778549447655678, 0.0004709438653662801, -0.014808718115091324, 0.007422142196446657, 0...
BigSalmon/Neo
[ "pytorch", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
13
null
--- license: creativeml-openrail-m language: - en library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion - stable-diffusion-diffusers duplicated_from: xiaolxl/GuoFeng3 --- # 介绍 - GuoFeng3 欢迎使用GuoFeng3模型 - (TIP:这个版本的名字进行了微调),这是一个中国华丽古风风格模型,也可以说是一个古风游戏角色模型,具有2.5D的质感。第三代大幅度减少上手难度,增加了场景元素与男性古风人物,除此之外...
[ -0.0264008529484272, -0.025942614302039146, -0.012277696281671524, 0.0275771114975214, 0.0452432855963707, 0.027217376977205276, -0.004534500651061535, -0.015063763596117496, -0.013623188249766827, 0.04547657445073128, 0.004773612134158611, -0.0026231470983475447, 0.016436981037259102, 0.0...
BigSalmon/ParaphraseParentheses2.0
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- language: - en --- # S5: Simplified State Space Layers for Sequence Modeling This repository provides the implementation for the paper: Simplified State Space Layers for Sequence Modeling. The preprint is available [here](https://arxiv.org/abs/2208.04933). ![](./docs/figures/pngs/s5-matrix-blocks.png) <p style="...
[ -0.03752013295888901, -0.02278594858944416, -0.012635589577257633, 0.047138527035713196, 0.031048649922013283, 0.015123534016311169, -0.0071778553538024426, -0.0018126307986676693, -0.0270607341080904, 0.04235398769378662, 0.04102969169616699, 0.0022984782699495554, 0.023422421887516975, 0...
BigSalmon/PhraseBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
10
2023-01-31T15:50:09Z
--- 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 ...
[ -0.03780932351946831, -0.0028099387418478727, -0.0047206268645823, 0.025236278772354126, 0.04522410407662392, -0.02162970043718815, -0.00578061118721962, -0.02761203795671463, -0.033130910247564316, 0.06694670021533966, 0.031981222331523895, -0.023485878482460976, 0.02312939241528511, 0.00...
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
--- 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 ...
[ -0.03932175785303116, -0.016194920986890793, -0.016164876520633698, 0.03729529678821564, 0.04799383133649826, -0.004238737281411886, -0.01344424020498991, -0.025266367942094803, -0.029306532815098763, 0.0541335791349411, 0.02239813096821308, -0.03169975057244301, 0.018602393567562103, 0.01...
BigSalmon/T5F
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
6
null
Full notebook: https://github.com/MustafaAlahmid/hugging_face_models/blob/main/layoutlm_funsd.ipynb --- tags: - generated_from_keras_callback model-index: - name: layoutlm-funsd-tf results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should pr...
[ -0.02218436449766159, -0.013259914703667164, 0.011981363408267498, 0.041535768657922745, 0.00905362144112587, 0.019297519698739052, -0.016573267057538033, -0.03250839561223984, -0.024674028158187866, 0.05382493883371353, 0.01018806453794241, -0.024545850232243538, 0.03288247808814049, 0.03...
BigSalmon/T5Salmon
[ "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...
6
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartoole-01 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.027780527248978615, 0.022602619603276253, 0.0055313752964138985, 0.005074673797935247, 0.0465787909924984, -0.018555883318185806, -0.02129027247428894, -0.010911621153354645, -0.031716346740722656, 0.08265189081430435, 0.019559359177947044, -0.013784113340079784, 0.015989886596798897, 0...
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
2023-01-31T16:16:01Z
--- tags: - TensorRT - Text2Image - Stable Diffusion - Image2Image - SDA --- # Linaqruf/anything-v3.0 converted into TensorRT <a href="https://github.com/chavinlo/sda-node/"><img src="https://i.imgur.com/fQS926g.png"></a> Model converted from diffusers into TensorRT for accelerated inference up to 4x faster. For h...
[ 0.0006951082032173872, -0.03996497020125389, -0.01216079294681549, 0.032864246517419815, 0.04933012276887894, 0.0019852514378726482, -0.008821843191981316, 0.005339896306395531, -0.04074478521943092, 0.05523805320262909, -0.009180336259305477, 0.003889993065968156, 0.010211273096501827, 0....
BigTooth/DialoGPT-Megumin
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
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...
[ -0.03179304674267769, -0.002130199922248721, -0.02099854312837124, 0.051075782626867294, 0.041398122906684875, 0.02631889283657074, -0.0024740127846598625, -0.037953317165374756, -0.027115441858768463, 0.04841158166527748, 0.02428034320473671, -0.003913216758519411, 0.018450073897838593, 0...
BigTooth/Megumin-v0.2
[ "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
--- license: apache-2.0 tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-finetuned-31jan-4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.015627704560756683, -0.007357409223914146, 0.004127904772758484, 0.02675941400229931, 0.04270409792661667, -0.003614414483308792, -0.032569680362939835, -0.011877224780619144, -0.03574807196855545, 0.04985545575618744, 0.021335167810320854, -0.030310029163956642, 0.01050743367522955, 0....
BigeS/DialoGPT-small-Rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.019264722242951393, -0.015465756878256798, -0.006817698944360018, 0.025544296950101852, 0.04701922833919525, 0.00002975863026222214, -0.0199003666639328, 0.007416627369821072, -0.037422627210617065, 0.05426069721579552, 0.017951861023902893, -0.007403994910418987, 0.01252976804971695, 0...
Bilz/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: roberta-tiny-10M 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. --> # roberta-tiny-10M ...
[ -0.013105199672281742, 0.012130293063819408, -0.006401549093425274, 0.029291538521647453, 0.03516592085361481, 0.012908592820167542, -0.009064797312021255, -0.00785799790173769, -0.04557427391409874, 0.05067359656095505, 0.019160855561494827, -0.03702237457036972, -0.008389988914132118, 0....
BinksSachary/DialoGPT-small-shaxx
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - classification - generated_from_trainer datasets: - rotten_tomatoes model-index: - name: clasificador-rotten-tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove th...
[ -0.020551657304167747, 0.0008805065299384296, -0.00016075096209533513, 0.021458910778164864, 0.03631846606731415, 0.028630932793021202, -0.01753726229071617, -0.008238090202212334, -0.02971819043159485, 0.051291145384311676, 0.03427222743630409, -0.00639058742672205, -0.011722284369170666, ...
BinksSachary/ShaxxBot2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
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...
[ -0.050419919192790985, 0.007571408990770578, -0.0089315390214324, 0.05833861604332924, 0.029469182714819908, 0.031794365495443344, -0.004636830184608698, -0.03516323119401932, -0.00403663981705904, 0.05230379104614258, 0.019399600103497505, -0.01272041629999876, 0.006295913364738226, 0.024...
Blerrrry/Kkk
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-31T17:19:47Z
--- license: mit tags: - generated_from_trainer datasets: - funsd-layoutlmv3 model-index: - name: my-lilt-en-funsd 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. -->...
[ -0.01282926369458437, 0.005460666958242655, -0.0028139573987573385, 0.04412852227687836, 0.014711323194205761, 0.019036976620554924, -0.009710965678095818, -0.01835312508046627, -0.041438084095716476, 0.047277700155973434, 0.018894655629992485, -0.030887989327311516, 0.005551089067012072, ...
BlightZz/DialoGPT-medium-Kurisu
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
19
2023-01-31T17:20:16Z
--- 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...
[ -0.051388539373874664, 0.004496412351727486, -0.005454047117382288, 0.056541599333286285, 0.026185445487499237, 0.02731933817267418, -0.004328581038862467, -0.030469659715890884, -0.006768598221242428, 0.048624612390995026, 0.018502727150917053, -0.011271611787378788, 0.007603887934237719, ...
BlightZz/MakiseKurisu
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-01-31T17:20:58Z
--- 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 ...
[ -0.03742459416389465, -0.002701727906242013, -0.005503095220774412, 0.02551412209868431, 0.04562612995505333, -0.021068662405014038, -0.005658071953803301, -0.027018295601010323, -0.03262506052851677, 0.06642080098390579, 0.031830284744501114, -0.023248635232448578, 0.02299572341144085, 0....
BlindMan820/Sarcastic-News-Headlines
[ "pytorch", "distilbert", "text-classification", "English", "dataset:Kaggle Dataset", "transformers", "Text", "Sequence-Classification", "Sarcasm", "DistilBert" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
28
null
--- license: gpl-3.0 --- Pre-trained word embeddings using the text of published clinical case reports. These embeddings use 100 dimensions and were trained using the fasttext algorithm on published clinical case reports found in the [PMC Open Access Subset](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). See the...
[ -0.018558086827397346, -0.020359423011541367, -0.007204538211226463, 0.04117615520954132, 0.03108777478337288, 0.04292633384466171, 0.002246077870950103, -0.02133137173950672, -0.018952812999486923, 0.0463888943195343, 0.02466510981321335, 0.027625709772109985, 0.0007866336381994188, 0.041...
Bloodwarrior/Chikfalay
[]
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
2023-01-31T17:25:00Z
--- 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 ...
[ -0.045619040727615356, -0.001066582161001861, -0.021686503663659096, 0.03247368708252907, 0.04360826686024666, 0.01747581548988819, -0.01816665567457676, -0.03013223223388195, -0.0374494269490242, 0.06929568946361542, 0.022013835608959198, 0.003592975903302431, 0.0150995384901762, 0.028026...
BlueGamerBeast/DialoGPT-small-Morgana
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-01-31T17:25:14Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.032554421573877335, 0.01960148848593235, 0.0036759101785719395, 0.006885821931064129, 0.044342588633298874, -0.02111031301319599, -0.02369552291929722, -0.018324382603168488, -0.033800218254327774, 0.084828220307827, 0.020578429102897644, -0.011827409267425537, 0.016458414494991302, 0.0...
BobBraico/distilbert-base-uncased-finetuned-imdb-accelerate
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.02589857019484043, -0.025451287627220154, -0.019494298845529556, 0.06171254813671112, 0.029772711917757988, 0.03287013992667198, -0.01716971956193447, 0.00929019134491682, -0.06430230289697647, 0.08126223832368851, 0.0293932743370533, 0.013243014924228191, 0.007219130173325539, 0.035574...
BogdanKuloren/continual-learning-paper-embeddings-model
[ "pytorch", "mpnet", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "MPNetModel" ], "model_type": "mpnet", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": n...
11
2023-01-31T17:45:31Z
--- license: gpl-3.0 --- Pre-trained word embeddings using the text of published clinical case reports. These embeddings use 300 dimensions and were trained using the fasttext algorithm on published clinical case reports found in the [PMC Open Access Subset](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/) . See th...
[ -0.018290799111127853, -0.020913179963827133, -0.008278234861791134, 0.04127689450979233, 0.0312543660402298, 0.04356618970632553, 0.00176949892193079, -0.022180689498782158, -0.01831141673028469, 0.04626402631402016, 0.024493496865034103, 0.02770042046904564, -0.0006578397587873042, 0.041...
Bosio/full-sentence-distillroberta3-finetuned-wikitext2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01822398416697979, -0.018029533326625824, -0.006721101235598326, 0.030725201591849327, 0.05072389170527458, -0.017379142343997955, -0.011874205432832241, -0.00827216636389494, -0.05834484100341797, 0.05354504659771919, -0.002073344076052308, -0.009360571391880512, 0.024003520607948303, ...
BossLee/t5-gec
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
6
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine results: [] datasets: - muchocine language: - es --- # clasificador-muchocine This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electrici...
[ -0.03662923723459244, 0.0015652352012693882, 0.013335729017853737, 0.058439482003450394, 0.02794240228831768, 0.034843165427446365, -0.02751634642481804, -0.009403183124959469, -0.035516221076250076, 0.05023390054702759, 0.053257688879966736, -0.029058370739221573, -0.014962919987738132, 0...
BotterHax/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
Getting started and UI. https://www.cognitionai.org/hdhowtogetstarted
[ -0.0494585745036602, -0.003288550302386284, -0.003468078561127186, 0.03594030439853668, 0.03615368530154228, 0.01487912517040968, -0.004347930662333965, -0.010328174568712711, -0.02177565172314644, 0.03813932463526726, 0.0352175235748291, 0.02435447834432125, 0.03896775096654892, 0.0375701...
Brunomezenga/NN
[]
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
2023-01-31T18:40:25Z
--- 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: 7.50 +/- 2.73...
[ -0.016153519973158836, -0.015307854861021042, -0.007510356605052948, 0.02411043643951416, 0.04882577434182167, -0.003542474703863263, -0.02098332904279232, 0.008435467258095741, -0.03776232898235321, 0.052575115114450455, 0.019981006160378456, -0.007501367013901472, 0.011724776588380337, 0...
Bwehfuk/Ron
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail --- # information & usage lora trained from 185 hand-picked and signature/text removed images of artist LAM (https://www.pixiv.net/en/users/17429) weight at `0.6` for less style, enable to mix with other styles. `0.8` - `1` make the style closer to artist's. recommended tags: ``` colorful, multi...
[ -0.02353229746222496, -0.0309795793145895, -0.016462411731481552, 0.06561607122421265, 0.03778238967061043, -0.003383014816790819, -0.0016012538690119982, 0.000031949566619005054, -0.00432982575148344, 0.05716836825013161, 0.014923254027962685, -0.021570531651377678, 0.002359312493354082, ...
CAMeL-Lab/bert-base-arabic-camelbert-da-ner
[ "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...
42
2023-01-31T19:23:05Z
--- license: gpl-3.0 datasets: - detection-datasets/coco tags: - object detection - computer vision - machine learning - yolo - yolov8 --- ### Model Description [Ultralytics:](https://github.com/ultralytics/ultralytics/) YOLOv8 in PyTorch > ONNX > CoreML > TFLite ### Installation ``` pip install ultralytics ``` ###...
[ -0.04344303160905838, -0.024478638544678688, 0.016708966344594955, 0.002030291361734271, 0.05344099551439285, 0.01854257471859455, -0.02059311605989933, -0.006367869209498167, -0.004271612502634525, 0.039949893951416016, 0.03884569928050041, 0.012320955283939838, 0.0030664403457194567, 0.0...
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
2023-01-31T19:23:23Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.041832566261291504, -0.0012011800426989794, -0.00794277060776949, 0.04947299510240555, 0.028441688045859337, 0.02205900475382805, -0.025526471436023712, -0.036967068910598755, -0.005475274287164211, 0.04851849377155304, 0.018234100192785263, -0.0096343494951725, 0.021171292290091515, 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
null
--- tags: - generated_from_trainer model-index: - name: fine_tuned_theme2 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. --> # fine_tuned_theme2 This model was tra...
[ -0.02977444790303707, -0.021157754585146904, -0.007088762242347002, 0.035550933331251144, 0.0320274792611599, 0.017570514231920242, -0.02051234245300293, 0.0006681889062747359, -0.03753101825714111, 0.06640669703483582, 0.042261555790901184, -0.0010856327135115862, 0.026966175064444542, 0....
Capreolus/bert-base-msmarco
[ "pytorch", "tf", "jax", "bert", "text-classification", "arxiv:2008.09093", "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...
238
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-expand-vocab 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 r...
[ -0.02339930087327957, 0.0002303264191141352, -0.006550225894898176, 0.041449327021837234, 0.0526319183409214, 0.0008620212320238352, -0.008656284771859646, -0.013218414038419724, -0.04212339594960213, 0.050798602402210236, -0.0006832506624050438, -0.023624595254659653, 0.01380696427077055, ...
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
--- 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 ...
[ -0.03891513869166374, -0.002541264286264777, -0.0024931083898991346, 0.026544084772467613, 0.0431748628616333, -0.020156968384981155, -0.006733004003763199, -0.028439495712518692, -0.033444661647081375, 0.06934957206249237, 0.03514845669269562, -0.020778613165020943, 0.021020468324422836, ...