modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
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51
438k
embedding
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Declan/HuffPost_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: distilbert_sst2_int8_xml results: - task: name: Text Classification type: text-classification dataset: name: GLUE SST2 type: glue args: sst2 metrics: ...
[ -0.011525350622832775, -0.003298345720395446, -0.04078133776783943, 0.054338790476322174, 0.07662881165742874, 0.039233557879924774, -0.01729496195912361, -0.01642155647277832, -0.05122824013233185, 0.07141432166099548, 0.026411307975649834, -0.009504079818725586, 0.015185286290943623, 0.0...
Declan/WallStreetJournal_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- tags: - generated_from_trainer model-index: - name: SciBERT-WIKI_Lifecycle_Finetuned 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. --> # SciBERT-WIKI_Lifecycle...
[ -0.027405759319663048, -0.029710739850997925, -0.03181352838873863, 0.018304970115423203, 0.022514300420880318, 0.02234262228012085, -0.013046999461948872, -0.009033076465129852, -0.05364305526018143, 0.05446038022637367, 0.04611053317785263, -0.008566671051084995, 0.01782091334462166, 0.0...
Declan/test_push
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: other tags: - generated_from_trainer datasets: - AlekseyKorshuk/dalio-handwritten-io metrics: - accuracy model-index: - name: dalio-handwritten-io-1.3b results: - task: name: Causal Language Modeling type: text-generation dataset: name: AlekseyKorshuk/dalio-handwritten-io ty...
[ 0.0019488097168505192, -0.010433983989059925, -0.0057542636059224606, 0.04529872536659241, 0.04533278942108154, 0.026705054566264153, 0.005886022467166185, -0.028788065537810326, -0.04218119755387306, 0.05953683331608772, 0.03655682131648064, -0.030594825744628906, 0.002496371977031231, 0....
DeepChem/ChemBERTa-10M-MLM
[ "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...
90
2022-11-10T12:15:38Z
A magnificent and ancient Blue ice cave at the edge of the known universe in a reflective pond of cosmic stars, cinematic, atmospheric, 8K, mystical, dynamic lighting, landscape photography by Marc Adamus,
[ -0.033464763313531876, -0.020324481651186943, -0.009413993917405605, -0.013881570659577847, 0.05177335441112518, -0.0332530178129673, -0.005806132219731808, -0.00006132257840363309, -0.0035003162920475006, 0.0230611152946949, 0.057442594319581985, -0.015334036201238632, 0.056257933378219604,...
DeepChem/ChemBERTa-10M-MTR
[ "pytorch", "roberta", "arxiv:1910.09700", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "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_ng...
708
null
--- language: en thumbnail: http://www.huggingtweets.com/sbe_sus/1668084101960/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: ...
[ 0.005598857067525387, -0.0423407107591629, 0.0015412097563967109, 0.05359615013003349, 0.04954928904771805, 0.01736319437623024, -0.0182790607213974, -0.009473713114857674, -0.03976670280098915, 0.02883325330913067, 0.0032635447569191456, -0.0010599711677059531, -0.012558822520077229, 0.02...
DeskDown/MarianMixFT_en-fil
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: bigscience-openrail-m --- Bloom-1b7 model finetuned on Bloom-175b generated data for email actionable points extraction
[ -0.0434647873044014, 0.016778364777565002, 0.006440975237637758, -0.009021458216011524, 0.027178240939974785, -0.003966128453612328, -0.012655804865062237, 0.012855411507189274, -0.019294027239084244, 0.03637769818305969, 0.08785981684923172, 0.018335547298192978, 0.03404935449361801, 0.02...
DevsIA/Devs_IA
[]
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 --- ### DISTILBERT RUNNING ON [DEEPSPARSE](https://github.com/neuralmagic/deepsparse) GOES BRHMMMMMMMM. 🚀🚀🚀 This model is 👇 ███████╗ ██████╗ █████╗ ██████╗ ███████╗ ███████╗ ██╔════╝ ██╔══██╗ ██╔══██╗ ██╔══██╗ ██╔════╝ ██╔════╝ ███████╗ ██████╔╝ ███████║ █████...
[ -0.01929890178143978, -0.027678901329636574, -0.034407056868076324, 0.009083285927772522, 0.061881061643362045, 0.011860421858727932, -0.0199755672365427, -0.010023566894233227, -0.050102341920137405, 0.03421146050095558, 0.02497093193233013, -0.008335034362971783, 0.014813803136348724, 0....
Waynehillsdev/Waynehills_summary_tensorflow
[ "tf", "t5", "text2text-generation", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
2022-11-10T17:51:20Z
#!/usr/bin/env python3 from diffusers import DiffusionPipeline import PIL import requests from io import BytesIO import torch def download_image(url): response = requests.get(url) return PIL.Image.open(BytesIO(response.content)).convert("RGB") pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusi...
[ 0.008033338002860546, -0.05663072690367699, -0.01276873517781496, 0.05595133453607559, 0.04378868639469147, 0.00024092478270176798, 0.013065547682344913, -0.006786998827010393, -0.01316562294960022, 0.04242099076509476, 0.037330262362957, 0.009040453471243382, 0.0003871256485581398, 0.0415...
DoyyingFace/bert-asian-hate-tweets-concat-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
2022-11-10T19:50:38Z
--- tags: - espnet - audio - automatic-speech-recognition language: en datasets: - librimix license: cc-by-4.0 --- ## ESPnet2 ASR model ### `espnet/simpleoier_librimix_asr_train_asr_transformer_multispkr_raw_en_char_sp` This model was trained by simpleoier using librimix recipe in [espnet](https://github.com/espnet...
[ -0.04584430158138275, 0.002082039136439562, -0.035482633858919144, 0.0290839746594429, 0.061554957181215286, 0.011899048462510109, -0.00237043178640306, 0.0063095311634242535, -0.06578410416841507, 0.05504220351576805, 0.009726050309836864, 0.005333618260920048, -0.008049426600337029, 0.01...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2022-11-10T19:57:50Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad-a4-q3 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...
[ -0.02281591296195984, -0.005800329148769379, -0.03509799763560295, 0.049625277519226074, 0.061098866164684296, 0.02194063924252987, -0.03196796029806137, 0.002283337991684675, -0.03932086378335953, 0.05092885345220566, 0.03385709971189499, -0.023200523108243942, 0.010646152310073376, 0.046...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2022-11-10T19:59:40Z
--- license: other tags: - generated_from_trainer datasets: - AlekseyKorshuk/dalio-all-io metrics: - accuracy model-index: - name: dalio-all-io-1.3b results: - task: name: Causal Language Modeling type: text-generation dataset: name: AlekseyKorshuk/dalio-all-io type: AlekseyKorshuk/dalio...
[ -0.010356052778661251, -0.007805110886693001, -0.011606790125370026, 0.04316428303718567, 0.04928496479988098, 0.019154341891407967, -0.0016761289443820715, -0.029594197869300842, -0.04751370847225189, 0.05956466868519783, 0.031309306621551514, -0.029759610071778297, 0.009136673994362354, ...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2022-11-10T20:11:49Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - audiofolder metrics: - wer model-index: - name: wav2vec2-xlsr-53-espeak-cv-ft-evn3-ntsema-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: audiofolder type: audio...
[ -0.029752925038337708, -0.0022506937384605408, -0.020415987819433212, 0.04227626323699951, 0.04315045475959778, 0.03717692196369171, -0.011045721359550953, -0.0163289625197649, -0.02404048852622509, 0.06264559924602509, 0.034515224397182465, -0.019077107310295105, 0.006628545932471752, 0.0...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
26,792
2022-11-10T20:16:12Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wl metrics: - precision - recall - f1 - accuracy model-index: - name: roberta-clinical-wl-es-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: wl type: wl config: WL...
[ -0.007681712042540312, 0.0009752932237461209, 0.013225605711340904, 0.026124246418476105, 0.03351885452866554, 0.02069484442472458, -0.03205946460366249, -0.02467348240315914, -0.018838005140423775, 0.04287474602460861, 0.030230578035116196, -0.03040037862956524, 0.0022900919429957867, 0.0...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2022-11-10T20:29:53Z
--- license: other tags: - generated_from_trainer datasets: - AlekseyKorshuk/dalio-all-io metrics: - accuracy model-index: - name: dalio-all-io-1.3b-2-epoch results: - task: name: Causal Language Modeling type: text-generation dataset: name: AlekseyKorshuk/dalio-all-io type: AlekseyKorsh...
[ -0.010761317797005177, -0.010903540998697281, -0.01083069946616888, 0.04149005934596062, 0.052401117980480194, 0.016275282949209213, -0.0007829926325939596, -0.027881072834134102, -0.045768264681100845, 0.0612628273665905, 0.03185766562819481, -0.02762710116803646, 0.009038640186190605, 0....
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2022-11-10T20:35:15Z
--- license: mit tags: - generated_from_trainer model-index: - name: BERiT_2000_custom_architecture 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. --> # BERiT_2000_...
[ -0.016082176938652992, -0.005022894125431776, -0.02080596797168255, 0.024528076872229576, 0.013255958445370197, 0.0204542838037014, -0.01860921084880829, -0.010279051028192043, -0.03613995388150215, 0.046923913061618805, 0.016078738495707512, -0.03517044335603714, 0.015000960789620876, 0.0...
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
null
Access to model luanverissimo/luanverissimo is restricted and you are not in the authorized list. Visit https://huggingface.co/luanverissimo/luanverissimo to ask for access.
[ -0.04520120471715927, 0.0012404676526784897, -0.0007892980938777328, 0.013465494848787785, 0.03316184878349304, -0.021841300651431084, 0.003716668812558055, -0.020481718704104424, -0.032666660845279694, 0.03234665095806122, 0.05882388725876808, -0.01530013233423233, 0.01105071697384119, 0....
bert-base-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
8,621,271
2022-11-10T20:52:55Z
--- license: other tags: - generated_from_trainer datasets: - AlekseyKorshuk/dalio-all-io metrics: - accuracy model-index: - name: dalio-all-io-1.3b-3-epoch results: - task: name: Causal Language Modeling type: text-generation dataset: name: AlekseyKorshuk/dalio-all-io type: AlekseyKorsh...
[ -0.01060335524380207, -0.01115537527948618, -0.011699897237122059, 0.04047173634171486, 0.051963504403829575, 0.01759093813598156, -0.001398587366566062, -0.02885594591498375, -0.04655470326542854, 0.06194619461894035, 0.03290962800383568, -0.028461307287216187, 0.00841390062123537, 0.0165...
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
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...
68,305
2022-11-10T21:22:35Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wl metrics: - precision - recall - f1 - accuracy model-index: - name: spanish-clinical-ner results: - task: name: Token Classification type: token-classification dataset: name: wl type: wl config: WL split: tr...
[ -0.011678806506097317, -0.006844752002507448, 0.01546948216855526, 0.04753560945391655, 0.029789621010422707, 0.013332515954971313, -0.03079894930124283, -0.025193961337208748, -0.01075075939297676, 0.04423585906624794, 0.016059018671512604, -0.03508336469531059, -0.014743232168257236, 0.0...
bert-large-cased-whole-word-masking
[ "pytorch", "tf", "jax", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
2,316
2022-11-10T22:00:34Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad-1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.0221339650452137, -0.005854652728885412, -0.030838577076792717, 0.0510440319776535, 0.06158541887998581, 0.022929297760128975, -0.03131471946835518, 0.005304868333041668, -0.03589694947004318, 0.04971383139491081, 0.036480363458395004, -0.02320336364209652, 0.012643608264625072, 0.04576...
bert-large-uncased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
480,510
2022-11-10T22:01:43Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-original-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, t...
[ -0.022937383502721786, -0.00786640029400587, -0.033646050840616226, 0.05389660969376564, 0.06072400510311127, 0.024684971198439598, -0.02889386937022209, 0.00447312043979764, -0.03053106740117073, 0.050943054258823395, 0.038638122379779816, -0.02594432607293129, 0.01339236181229353, 0.0454...
distilbert-base-cased-distilled-squad
[ "pytorch", "tf", "rust", "safetensors", "openvino", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "model-index", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
257,745
2022-11-10T22:28:08Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad-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 rem...
[ -0.021215863525867462, -0.00785642396658659, -0.02845347672700882, 0.04975420981645584, 0.06299053132534027, 0.02250668965280056, -0.03142707049846649, 0.005071436055004597, -0.03469502553343773, 0.04895343258976936, 0.03609294444322586, -0.020421186462044716, 0.010923534631729126, 0.04665...
distilroberta-base
[ "pytorch", "tf", "jax", "rust", "safetensors", "roberta", "fill-mask", "en", "dataset:openwebtext", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "exbert", "license:apache-2.0", "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...
3,342,240
2022-11-11T00:16:08Z
--- tags: - generated_from_trainer model-index: - name: chemical-bert-uncased-finetuned-cust-c1-cust 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. --> # chemical-b...
[ -0.016591353341937065, 0.01582559198141098, -0.019506193697452545, 0.021086538210511208, 0.03225478157401085, 0.018679136410355568, -0.03538302332162857, -0.016986442729830742, -0.03566563129425049, 0.035000991076231, -0.004633286967873573, 0.003073661820963025, 0.023671546950936317, 0.064...
roberta-large-mnli
[ "pytorch", "tf", "jax", "safetensors", "roberta", "text-classification", "en", "dataset:multi_nli", "dataset:wikipedia", "dataset:bookcorpus", "arxiv:1907.11692", "arxiv:1806.02847", "arxiv:1804.07461", "arxiv:1704.05426", "arxiv:1508.05326", "arxiv:1809.05053", "arxiv:1910.09700", ...
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, "...
117,700
2022-11-11T01:12:15Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr 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...
[ -0.03510879725217819, -0.015046273358166218, 0.0035232759546488523, 0.02971239760518074, 0.02377067506313324, 0.020863991230726242, -0.018850844353437424, -0.009148879908025265, -0.029891477897763252, 0.045823000371456146, 0.024894461035728455, -0.05176709592342377, 0.009580070152878761, 0...
xlnet-base-cased
[ "pytorch", "tf", "rust", "xlnet", "text-generation", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1906.08237", "transformers", "license:mit", "has_space" ]
text-generation
{ "architectures": [ "XLNetLMHeadModel" ], "model_type": "xlnet", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_si...
163,098
2022-11-11T03:20:02Z
--- tags: - generated_from_trainer metrics: - f1 model-index: - name: frases-roberta-juridico-v0.7 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. --> # frases-rober...
[ -0.015634413808584213, -0.026371264830231667, -0.01051432266831398, 0.04173494130373001, 0.02647344581782818, 0.03633076697587967, -0.011170638725161552, -0.016320761293172836, -0.022148000076413155, 0.048704974353313446, 0.01900746487081051, -0.019900081679224968, 0.006572144106030464, 0....
AVSilva/bertimbau-large-fine-tuned-sd
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "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...
10
2022-11-11T13:47:55Z
--- 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...
Abab/Test_Albert
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-11-11T15:05:28Z
--- language: - pl pipeline_tag: text-classification widget: - text: "Przykro patrzeć, a słuchać się nie da." example_title: "example 1" - text: "Oczywiście ze Pan Prezydent to nasza duma narodowa!!" example_title: "example 2" tags: - text - sentiment - politics metrics: - accuracy - f1 model-i...
[ -0.012738402932882309, -0.03318130224943161, -0.013673895038664341, 0.059008464217185974, 0.059822071343660355, 0.03206095099449158, 0.006203026510775089, 0.008658451028168201, -0.08059137314558029, 0.06418018788099289, 0.03959367796778679, -0.015613026916980743, -0.015526087023317814, 0.0...
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.040003061294555664, -0.017278626561164856, -0.01707223616540432, 0.03316950052976608, 0.050421927124261856, -0.00469207763671875, -0.012599063105881214, -0.02614743448793888, -0.03135371953248978, 0.053585004061460495, 0.023297779262065887, -0.031601566821336746, 0.016016658395528793, 0...
AimB/konlpy_berttokenizer_helsinki
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: BERT-FINETUNE-MBTI-LM results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # BERT-FINETUNE...
[ -0.01183569710701704, -0.009295342490077019, -0.028442703187465668, 0.02144918031990528, 0.019236501306295395, 0.038417749106884, -0.00902894139289856, -0.0017411202425137162, -0.02756432257592678, 0.035946499556303024, 0.030465150251984596, -0.020613886415958405, 0.050279226154088974, 0.0...
Aimendo/Triage
[]
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-FINETUNE-MBTI-CLS 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. --> # BERT-FINETUN...
[ -0.014868342317640781, -0.012606051750481129, -0.030511673539876938, 0.021557079628109932, 0.016891896724700928, 0.04008900746703148, -0.011224580928683281, 0.0008708641398698092, -0.0282504390925169, 0.03468085080385208, 0.026929492130875587, -0.016947459429502487, 0.05628861486911774, 0....
Aimendo/autonlp-triage-35248482
[ "pytorch", "bert", "text-classification", "en", "dataset:Aimendo/autonlp-data-triage", "transformers", "autonlp", "co2_eq_emissions" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- language: en thumbnail: http://www.huggingtweets.com/babyquakes524/1668231755244/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; w...
[ -0.0064638592302799225, -0.037066202610731125, 0.012867466546595097, 0.03991153463721275, 0.054052215069532394, -0.004073168151080608, -0.02095908857882023, -0.009540640749037266, -0.03659728169441223, 0.039136018604040146, 0.0008614450343884528, 0.0037230553571134806, -0.01033581979572773, ...
Ajteks/Chatbot
[]
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: BERT-FINETUNE-MBTI-CLS-BERT-FINETUNE-MBTI-CLS-JointBERT-Warmup-from-CLS 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...
[ -0.028520148247480392, -0.0061348434537649155, -0.01935502514243126, 0.03981814906001091, 0.02082092873752117, 0.033501751720905304, -0.022384442389011383, -0.004679669160395861, -0.02480826899409294, 0.035174410790205, 0.009183390997350216, -0.037041403353214264, 0.04601874575018883, 0.05...
AkaiSnow/Rick_bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: BERT-FINETUNE-MBTI-LM-BERT-FINETUNE-MBTI-LM-JointBERT-Warmup-from-LM results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this co...
[ -0.026167569682002068, -0.004957194905728102, -0.016992216929793358, 0.03954645246267319, 0.021616293117403984, 0.03492371365427971, -0.02147236466407776, -0.005959538277238607, -0.024238089099526405, 0.03511384502053261, 0.012074137106537819, -0.03977089002728462, 0.04394663870334625, 0.0...
Akari/albert-base-v2-finetuned-squad
[ "pytorch", "tensorboard", "albert", "question-answering", "dataset:squad_v2", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
13
null
--- tags: - generated_from_trainer model-index: - name: Clinical-Longformer-breastcancer 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. --> # Clinical-Longformer-br...
[ -0.025548551231622696, -0.002686686348170042, 0.0008721078629605472, 0.022570140659809113, 0.04450731351971626, -0.006696889642626047, -0.018170535564422607, -0.038402557373046875, -0.02684991993010044, 0.04299114644527435, 0.02389650046825409, -0.0211991835385561, 0.014288634993135929, 0....
Akash7897/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.015535976737737656, 0.007946646772325039, -0.03244936093688011, 0.04483732208609581, 0.050383273512125015, 0.0034826851915568113, -0.025049127638339996, -0.01944437436759472, -0.03218378499150276, 0.05337598919868469, 0.007358792703598738, -0.023870699107646942, 0.009506633505225182, 0....
Akashamba/distilbert-base-uncased-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - dreambooth-hackathon - wildcard - text-to-image datasets: BirdL/NGA_Art inference: true --- # NGA_Art_SD-V1.5 Model Card TL;DR:NGA Art is a Dreambooth model trained from public domain images from the National Art Gallery. The t...
[ -0.020437045022845268, -0.029969602823257446, -0.01748141087591648, 0.017255336046218872, 0.04376856982707977, 0.0056947991251945496, -0.006552287843078375, 0.000424407422542572, 0.01361930463463068, 0.05195816978812218, 0.028498297557234764, 0.009521163068711758, -0.018516242504119873, 0....
Akashpb13/Central_kurdish_xlsr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ckb", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - audiofolder metrics: - wer model-index: - name: wav2vec2-xlsr-53-espeak-cv-ft-mhr3-ntsema-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: audiofolder type: audio...
[ -0.02973984368145466, -0.004144834354519844, -0.022581642493605614, 0.042910777032375336, 0.04359881207346916, 0.03957584127783775, -0.012894324958324432, -0.015264724381268024, -0.022717276588082314, 0.06371176987886429, 0.03437349572777748, -0.0188650730997324, 0.005867863539606333, 0.02...
Akashpb13/Galician_xlsr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "gl", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
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...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos args: plus ...
[ -0.005852996837347746, 0.0018599529284983873, -0.02674369141459465, 0.0416305772960186, 0.04613789543509483, 0.015269634313881397, -0.03335921838879585, -0.02374473586678505, -0.0281565859913826, 0.05367402359843254, 0.006866201292723417, -0.014108438044786453, 0.018871093168854713, 0.0546...
Akashpb13/xlsr_kurmanji_kurdish
[ "pytorch", "safetensors", "wav2vec2", "automatic-speech-recognition", "kmr", "ku", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-...
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
null
--- license: mit --- ### Oleg KOG on Stable Diffusion via Dreambooth trained on the [fast-DreamBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook #### model by vronsice This your the Stable Diffusion model fine-tuned the Oleg KO...
[ -0.03795778751373291, -0.006791537627577782, -0.012172204442322254, 0.003983240108937025, 0.03185950964689255, -0.0019531797152012587, 0.010377463884651661, 0.020374754443764687, -0.035058896988630295, 0.05076098069548607, 0.02975192479789257, 0.005826006177812815, 0.004475487396121025, 0....
AkshatSurolia/ConvNeXt-FaceMask-Finetuned
[ "pytorch", "safetensors", "convnext", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
image-classification
{ "architectures": [ "ConvNextForImageClassification" ], "model_type": "convnext", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
56
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - audiofolder metrics: - wer model-index: - name: wav2vec2-xlsr-53-espeak-cv-ft-bak4-ntsema-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: audiofolder type: audio...
[ -0.03140203654766083, -0.0013890524860471487, -0.021022683009505272, 0.042214300483465195, 0.04225970432162285, 0.03731519728899002, -0.009837689809501171, -0.01586485095322132, -0.0239992868155241, 0.06155664101243019, 0.0351594015955925, -0.01934654638171196, 0.008412295952439308, 0.0278...
AkshatSurolia/DeiT-FaceMask-Finetuned
[ "pytorch", "deit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "DeiTForImageClassification" ], "model_type": "deit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
46
null
--- license: mit --- # Bangla Wikipedia Doc2Vec model Bengali Wikipedia doc2vec model trained on Wikipedia dumps articles with vector size 100. This model is trained for the [bnlp](https://github.com/sagorbrur/bnlp) library. ## Training details - Total Wikipedia articles: 110448 - Hyper-parameter: `epochs: 40, min_...
[ 0.0036419681273400784, -0.020960161462426186, -0.004347929265350103, 0.04797183722257614, 0.0069165099412202835, 0.02455209754407406, 0.011231191456317902, -0.007258009165525436, -0.02995637059211731, 0.03187203407287598, 0.023169327527284622, -0.016795091331005096, 0.02248239517211914, 0....
AkshatSurolia/ICD-10-Code-Prediction
[ "pytorch", "bert", "transformers", "text-classification", "license:apache-2.0", "has_space" ]
text-classification
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
994
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 config:...
[ -0.000831008714158088, 0.010036412626504898, -0.014061692170798779, 0.02975475788116455, 0.03883880376815796, 0.011325936764478683, -0.035636018961668015, -0.03751127049326897, -0.03261929377913475, 0.05693117156624794, 0.028026733547449112, -0.013580047525465488, 0.021011769771575928, 0.0...
Akuva2001/SocialGraph
[ "has_space" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilroberta-base-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola spli...
[ -0.02871568314731121, 0.006374818738549948, -0.006264306139200926, 0.03163881599903107, 0.06766549497842789, 0.024183155968785286, -0.027656717225909233, -0.021753858774900436, -0.04671875759959221, 0.056073594838380814, 0.03421661630272865, -0.014020155183970928, 0.003948819823563099, 0.0...
AlanDev/DallEMiniButBetter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos args: plus ...
[ -0.005813777446746826, 0.0020926769357174635, -0.029717613011598587, 0.04036314785480499, 0.0540442131459713, 0.011434297077357769, -0.03249770775437355, -0.026659933850169182, -0.028748519718647003, 0.05420949310064316, 0.0018986416980624199, -0.015094233676791191, 0.011962520889937878, 0...
AlanDev/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
[ -0.033499255776405334, -0.011974559165537357, -0.0033674121368676424, 0.03326157107949257, 0.020897315815091133, 0.009679442271590233, 0.007018287666141987, -0.004178551025688648, -0.003466725582256913, 0.054066646844148636, 0.008791879750788212, -0.020336316898465157, 0.004944265820086002, ...
AlbertHSU/BertTEST
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
8
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: whisper_wermet_0005 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. --> # whisper_wermet...
[ -0.03909488022327423, -0.019632825627923012, 0.006688487716019154, 0.03255509212613106, 0.03311286121606827, 0.007545722182840109, -0.008010822348296642, 0.0036466496530920267, -0.02306707203388214, 0.07162614166736603, 0.030891045928001404, -0.025388944894075394, 0.018443040549755096, 0.0...
Ale/Alen
[]
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: whisper_wermet_0010 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. --> # whisper_wermet...
[ -0.04043028876185417, -0.019056648015975952, 0.007883911952376366, 0.03256575018167496, 0.03383414074778557, 0.009753123857080936, -0.008397694677114487, 0.004706602543592453, -0.02302996814250946, 0.0721331387758255, 0.031028226017951965, -0.025332406163215637, 0.01906622387468815, 0.0403...
AlekseyKorshuk/horror-scripts
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
19
null
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image --- **Shichigoro Diffusion** v0.2 This is an experimental Stable Diffusion model trained on artworks by artist Shichigoro (https://shichigoro.com/). Only for personal use! Please respect the original artist! Use the token **_shichigoro_** in ...
[ -0.007803840562701225, -0.024910176172852516, 0.0012046049814671278, 0.04095238074660301, 0.042754266411066055, 0.0006978706223890185, 0.016965502873063087, -0.020689114928245544, -0.025330495089292526, 0.05950750410556793, 0.02336159348487854, -0.003915376961231232, 0.004661713261157274, ...
Amalq/roberta-base-finetuned-schizophreniaReddit2
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: try-reinforce-cartpole-custom-2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: ...
[ -0.032155413180589676, 0.018518073484301567, 0.0020663070026785135, 0.009974981658160686, 0.04651946574449539, -0.01850341632962227, -0.025917259976267815, -0.015371011570096016, -0.02751130796968937, 0.08271265029907227, 0.015624617226421833, -0.005016488954424858, 0.013430713675916195, 0...
AmanPriyanshu/DistilBert-Sentiment-Analysis
[ "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: cc-by-nc-3.0 tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: finetuning-sentiment-model-bert-multilingual results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably pr...
[ -0.00868313293904066, 0.003484460525214672, -0.03062133491039276, 0.05154858157038689, 0.037023212760686874, 0.023691467940807343, -0.002264880808070302, -0.02806570753455162, -0.056379612535238266, 0.06121606007218361, 0.0064766318537294865, -0.03877783194184303, 0.0305729229003191, 0.040...
AndreLiu1225/t5-news
[ "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...
18
null
--- tags: - generated_from_trainer model-index: - name: kogpt2test-finetuned-wikitext2 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. --> # kogpt2test-finetuned-wik...
[ -0.012984009459614754, -0.03655332326889038, -0.003992117941379547, 0.012341659516096115, 0.02586982771754265, 0.0095527870580554, -0.0020567940082401037, -0.0005790448049083352, -0.04763085022568703, 0.05473100766539574, 0.026137366890907288, -0.007267943117767572, 0.01828874461352825, 0....
Andrey1989/mbart-finetuned-en-to-kk
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m thumbnail: "https://huggingface.co/wavymulder/overlord-diffusion-HN/resolve/main/images/char_eximg.jpg" --- **Overlord Diffusion - Hypernetwork** ![Header](https://huggingface.co/wavymulder/overlord-diffusion-HN/resolve/main/images/header.png) [*DOWNLOAD LINK*](https://huggingface.co...
[ -0.006525240372866392, -0.00887197908014059, -0.01996442675590515, 0.01357913389801979, 0.019638827070593834, 0.017580557614564896, -0.0023953644558787346, -0.004744855687022209, -0.0056063770316541195, 0.03780638426542282, 0.023017361760139465, 0.022999361157417297, 0.015348360873758793, ...
Andrija/RobertaFastBPE
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-11-12T19:13:31Z
--- license: mit --- ### brime on Stable Diffusion via Dreambooth trained on the [fast-DreamBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook #### model by samj This your the Stable Diffusion model fine-tuned the brime concept ...
[ -0.03451281785964966, -0.01979108899831772, -0.012523527257144451, 0.026632998138666153, 0.011609762907028198, 0.014466545544564724, 0.0007542684907093644, 0.005619366653263569, -0.03428598865866661, 0.038964614272117615, 0.020777273923158646, 0.0055220057256519794, 0.0022412727121263742, ...
Andrija/SRoBERTa-NLP
[ "pytorch", "roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos args: plus ...
[ -0.006087678950279951, 0.002201439579948783, -0.030561910942196846, 0.04131222516298294, 0.05421719700098038, 0.012332690879702568, -0.03197091072797775, -0.026086242869496346, -0.02755802311003208, 0.05409403145313263, 0.003940650261938572, -0.014372517354786396, 0.013015720061957836, 0.0...
Andrija/SRoBERTa-XL-NER
[ "pytorch", "roberta", "token-classification", "hr", "sr", "multilingual", "dataset:hr500k", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
6
null
--- language: en thumbnail: http://www.huggingtweets.com/imyawnny/1668282121358/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width:...
[ 0.0021574620623141527, -0.03473830595612526, -0.0023034713231027126, 0.05245235934853554, 0.04547479748725891, 0.012652446515858173, -0.010310865938663483, -0.012446089647710323, -0.04341193288564682, 0.032246183604002, 0.017184555530548096, -0.0024889500346034765, -0.011189334094524384, 0...
Ankitha/DialoGPT-small-harrypottery
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en thumbnail: http://www.huggingtweets.com/bet365/1668290987822/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 9...
[ 0.0033487596083432436, -0.03853854164481163, 0.00031064648646861315, 0.055591266602277756, 0.05043720081448555, 0.010898703709244728, -0.016387782990932465, -0.010823522694408894, -0.045475419610738754, 0.03256974369287491, 0.002174418419599533, 0.00022172102762851864, -0.014087548479437828,...
Ann2020/distilbert-base-uncased-finetuned-ner
[ "pytorch", "tensorboard", "distilbert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
4
null
--- license: creativeml-openrail-m tags: - text-to-image --- Trained on around 100 images at 768x768 resolution. Download "ComplexLA Style.ckpt" and add it to your model folder. Use prompt: ComplexLA style Use resolution near 768x768, lower resolution works but quality will not be as good. ![00557-2764539988-Com...
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Anonymous0230/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: - spacy - token-classification language: - pt license: cc-by-sa-4.0 model-index: - name: pt_core_news_trf results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9274830806 - name: NER Recall type: recall ...
[ 0.004295120481401682, -0.03779286891222, -0.007690160069614649, 0.04546362906694412, 0.05205611512064934, 0.02282019332051277, -0.024348055943846703, 0.0007043424993753433, -0.029998410493135452, 0.07226590067148209, 0.0122954361140728, -0.011235708370804787, -0.01401823852211237, 0.056991...
AnonymousSub/AR_SDR_HF_model_base
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
2022-11-12T23:57:50Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.021667594090104103, -0.0055869328789412975, -0.030873427167534828, 0.050002533942461014, 0.0615118145942688, 0.02347450703382492, -0.03126136586070061, 0.003193513723090291, -0.03539026528596878, 0.0499846525490284, 0.036731280386447906, -0.02366587333381176, 0.012179520912468433, 0.046...
AnonymousSub/AR_bert-base-uncased
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # imdb This mo...
[ -0.024530470371246338, -0.00604872964322567, -0.031219935044646263, 0.05435505136847496, 0.03548947721719742, 0.027831917628645897, -0.020404798910021782, -0.020791517570614815, -0.02179734967648983, 0.06502983719110489, 0.03873011842370033, -0.021143482998013496, 0.01994243822991848, 0.04...
AnonymousSub/AR_declutr
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image datasets: - ProGamerGov/StableDiffusion-v1-5-Regularization-Images --- **Min-Illust-Background-Diffusion** This fine-tuned Stable Diffusion v1.5 model was trained for 2250 iterations with a batch size of 4, on a selection of artistic works by...
[ 0.022483356297016144, -0.011531682685017586, -0.023559212684631348, 0.05576029047369957, 0.04545273631811142, 0.0033037872053682804, 0.009198599494993687, 0.000044280808651819825, 0.003362239571288228, 0.06136170029640198, 0.00048073005746118724, -0.02803565375506878, -0.013701743446290493, ...
AnonymousSub/AR_rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - pyannote - pyannote-audio - pyannote-audio-pipeline - audio - voice - speech - speaker - speaker-diarization - speaker-change-detection - voice-activity-detection - overlapped-speech-detection - automatic-speech-recognition datasets: - ami - dihard - voxconverse - aishell - repere - voxceleb license: mit -...
[ -0.04102829098701477, -0.00952092744410038, -0.00784756988286972, 0.060392946004867554, 0.02743697352707386, 0.015271713957190514, -0.0011785984970629215, -0.025954216718673706, -0.03282405808568001, 0.074241042137146, 0.04556690528988838, -0.02346692606806755, 0.02824709378182888, 0.04732...
AnonymousSub/AR_rule_based_roberta_bert_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- language: en thumbnail: http://www.huggingtweets.com/bookingcom/1668303763939/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; widt...
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AnonymousSub/AR_rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - generated_from_trainer datasets: - samsum model-index: - name: pegasus-samsum 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. --> # pegasus-samsum This ...
[ -0.034489355981349945, -0.007058832794427872, -0.007012412417680025, 0.033903587609529495, 0.04761221259832382, 0.021196529269218445, 0.0021392442286014557, -0.019485650584101677, -0.044702790677547455, 0.06716170161962509, 0.030285747721791267, -0.018270857632160187, 0.010715224780142307, ...
AnonymousSub/AR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- language: en thumbnail: http://www.huggingtweets.com/lockheedmartin/1668307132890/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; ...
[ 0.004527255427092314, -0.025765741243958473, -0.013659813441336155, 0.05276449769735336, 0.05844665691256523, 0.016675911843776703, -0.01584944874048233, -0.005540948826819658, -0.040783438831567764, 0.03748485445976257, 0.00963922031223774, -0.0025786974001675844, -0.017977004870772362, 0...
AnonymousSub/AR_rule_based_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
2022-11-13T02:53:16Z
--- language: en thumbnail: http://www.huggingtweets.com/officialuom/1668308017702/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; wid...
[ 0.002338401274755597, -0.034357257187366486, 0.004683257080614567, 0.06046263128519058, 0.049779195338487625, 0.00944814458489418, -0.0137910395860672, -0.0069069284945726395, -0.045741595327854156, 0.030706629157066345, 0.009916922077536583, 0.003191320924088359, -0.01482872013002634, 0.0...
AnonymousSub/EManuals_RoBERTa_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
29
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: khasrul-alam/banglabert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -...
[ -0.0184926800429821, -0.012598824687302113, -0.006284304428845644, 0.022723576053977013, 0.03621971979737282, 0.02586020715534687, -0.025696929544210434, -0.0033049210906028748, -0.03232180327177048, 0.04444875940680504, 0.03461117669939995, -0.032749202102422714, 0.027888160198926926, 0.0...
AnonymousSub/SR_rule_based_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: lmv2-g-receipts2 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. --> # lmv2-g-receip...
[ -0.029061464592814445, 0.00958036258816719, -0.007794369012117386, 0.018084725365042686, 0.02643861621618271, 0.010939592495560646, -0.011537210084497929, 0.0012302498798817396, -0.03570948541164398, 0.049637921154499054, 0.029404232278466225, -0.04199595004320145, 0.015468101017177105, 0....
AnonymousSub/SR_rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - generated_from_keras_callback model-index: - name: Vit-mbert 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. --> # Vit-mbert This model was trained from scrat...
[ -0.03409888222813606, -0.015269597992300987, 0.0027957919519394636, 0.028446704149246216, 0.023675987496972084, 0.019625581800937653, -0.024899810552597046, -0.015929430723190308, -0.016179602593183517, 0.0361471027135849, 0.021769177168607712, -0.010217384435236454, 0.03243713453412056, 0...
AnonymousSub/SR_rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5_large_epoch_1_comve_triple results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # t5_la...
[ -0.03587218374013901, -0.011323309503495693, 0.010386962443590164, 0.023255571722984314, 0.0506167896091938, -0.007496529258787632, -0.023465687409043312, -0.021427083760499954, -0.021351385861635208, 0.03250366821885109, 0.0285988487303257, -0.01233434583991766, -0.0036297093611210585, 0....
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: en thumbnail: http://www.huggingtweets.com/bbcnews/1672158882347/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: ...
[ 0.0020438532810658216, -0.03424540534615517, 0.004267659969627857, 0.05913851782679558, 0.05067037045955658, 0.010721570812165737, -0.008360850624740124, -0.01136750914156437, -0.041061073541641235, 0.03232346475124359, 0.005883225239813328, -0.00047250589705072343, -0.015487494878470898, ...
AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- language: - ko tags: - text generation - pytorch - causal-lm license: apache-2.0 datasets: - oscar - lcw99/wikipedia-korean-20221001 - heegyu/namuwiki-extracted - cc100 --- # gpt-neo-1.3B Korean float16 version PPL on Oscar Korean text dataset = 46.0
[ -0.011819705367088318, -0.03231359273195267, 0.02320406585931778, 0.02449827268719673, 0.036554526537656784, 0.01791650615632534, -0.016272224485874176, 0.002991370391100645, -0.03674734756350517, 0.05716496706008911, 0.03702361136674881, -0.018060460686683655, 0.0034681963734328747, 0.021...
AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
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 ...
[ -0.037006083875894547, -0.00256890500895679, -0.005314123351126909, 0.02585095539689064, 0.04578070715069771, -0.021232306957244873, -0.005342063959687948, -0.02789659984409809, -0.03340598940849304, 0.06613288819789886, 0.03296288475394249, -0.02334425039589405, 0.022767702117562294, 0.00...
AnonymousSub/cline-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
31
2022-11-13T10:32:13Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: finetuning-hatespeech-model-sayak results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and c...
[ -0.027455879375338554, 0.00004453168003237806, -0.0036312683951109648, 0.03888826444745064, 0.04262370616197586, 0.029649678617715836, -0.019225113093852997, 0.0037121966015547514, -0.05222649127244949, 0.06943722814321518, 0.039140574634075165, -0.03213898837566376, 0.0371340773999691, 0....
AnonymousSub/cline
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: imagefolder metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # 128-NORMAL #...
[ -0.009612848982214928, -0.029576081782579422, 0.012419003061950207, 0.05060742795467377, 0.005290009081363678, -0.0008671854739077389, 0.0028629072476178408, 0.003303724341094494, -0.005801937077194452, 0.043478045612573624, 0.008970113471150398, -0.007289797533303499, 0.007574016693979502, ...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
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...
[ -0.05402573570609093, 0.00532915722578764, -0.005317774601280689, 0.056977566331624985, 0.025127671658992767, 0.0301536712795496, -0.004384972155094147, -0.02999253384768963, -0.0045013451017439365, 0.049810223281383514, 0.01801898144185543, -0.011553836055099964, 0.007483271416276693, 0.0...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: mit --- ### mia from [lost nova](https://store.steampowered.com/app/1603410) on Stable Diffusion via Dreambooth #### model by no3 This your the Stable Diffusion model fine-tuned the mia-sd-1.5-beta1 concept taught to Stable Diffusion with Dreambooth. It can be used by modifying the `instance_prompt`: **sks...
[ -0.04472877457737923, -0.026563892140984535, -0.0021061839070171118, 0.024643022567033768, 0.01993369124829769, 0.02716328389942646, 0.0054052225314080715, -0.001834361464716494, -0.026743730530142784, 0.05161610618233681, 0.02698918804526329, 0.011453482322394848, 0.018916083499789238, 0....
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.de metrics: - name:...
[ -0.0243848767131567, -0.0038287758361548185, 0.006946914829313755, 0.02038492076098919, 0.029354987666010857, 0.02614588290452957, -0.023492062464356422, -0.009085631929337978, -0.024309545755386353, 0.0493624284863472, 0.02181226760149002, -0.04585128277540207, 0.00954040139913559, 0.0398...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.038776542991399765, 0.016393356025218964, 0.016183027997612953, 0.018161335960030556, 0.047545433044433594, -0.012526123784482479, -0.023301079869270325, -0.024550560861825943, -0.01641244627535343, 0.06703647971153259, 0.03190113604068756, -0.004182420205324888, 0.00901746191084385, -0...
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: finetune_hate_speech_improved_v1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.026326557621359825, 0.005697967484593391, -0.007423119153827429, 0.03651582449674606, 0.03186173364520073, 0.03523050621151924, -0.024284029379487038, 0.000629804446361959, -0.05030081793665886, 0.06221778690814972, 0.04141871631145477, -0.030301198363304138, 0.03204914554953575, 0.0222...
AntonClaesson/finetuning_test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-11-13T21:14:40Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixelcopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04025009647011757, 0.016779249534010887, 0.01619039475917816, 0.018431495875120163, 0.04793853685259819, -0.012753250077366829, -0.022636612877249718, -0.02600381150841713, -0.016322661191225052, 0.06778062134981155, 0.033581607043743134, -0.00480678491294384, 0.010632040910422802, -0.0...
ArBert/bert-base-uncased-finetuned-ner-gmm
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.021780041977763176, -0.004906138405203819, -0.031249895691871643, 0.049933530390262604, 0.06101315841078758, 0.02332397922873497, -0.031388282775878906, 0.003786456771194935, -0.03536863625049591, 0.050573255866765976, 0.036756016314029694, -0.02390970103442669, 0.012610765174031258, 0....
ArJakusz/DialoGPT-small-starky
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m thumbnail: "https://huggingface.co/mitchtech/cardassian-diffusion/resolve/main/cardassian-grid1.png" tags: - stable-diffusion - text-to-image --- ### Cardassian Diffusion This is the fine-tuned Stable Diffusion model trained on screenshots of the cardassian alien species from the St...
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Araf/Ummah
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: distilbert-base-multilingual-cased-finetuned-squad-finetuned-squadv2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proof...
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ArashEsk95/bert-base-uncased-finetuned-sst2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.006284910254180431, -0.03655443713068962, 0.004350901581346989, 0.039879150688648224, 0.043679576367139816, 0.009007246233522892, -0.02410389855504036, -0.0026023294776678085, -0.03477979078888893, 0.037223950028419495, -0.005384461488574743, -0.010774524882435799, 0.0062324777245521545, ...
ArashEsk95/bert-base-uncased-finetuned-stsb
[]
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
--- datasets: - drcd tags: - question-generation widget: - text: "[HL]伊隆·里夫·馬斯克[HL]是一名企業家和商業大亨" --- # Transformer QG on DRCD 請參閱 https://github.com/p208p2002/Transformer-QG-on-DRCD 獲得更多細節 The inputs of the model refers to ``` we integrate C and A into a new C' in the following form. C' = [c1, c2, ..., [HL], a1, ..., ...
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Archie/myProject
[]
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 --- ### blue lightsaber toy on Stable Diffusion via Dreambooth #### model by ktingos This your the Stable Diffusion model fine-tuned the blue lightsaber toy concept taught to Stable Diffusion with Dreambooth. It can be used by modifying the `instance_prompt`: **a photo of sks toy** You can also train ...
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ArenaGrenade/char-cnn
[]
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
<div style='display: flex; flex-wrap: wrap; column-gap: 0.75rem;'> <img src='https://s3.amazonaws.com/moonup/production/uploads/1668392910189-noauth.jpeg' width='400' height='400'> <img src='https://s3.amazonaws.com/moonup/production/uploads/1668392910472-noauth.jpeg' width='400' height='400'> <img src='https://s3.amaz...
[ 0.006921832915395498, -0.027961675077676773, 0.0017830394208431244, 0.022661296650767326, 0.02628406696021557, -0.006452964153140783, 0.0019088978879153728, 0.0017885960405692458, -0.046507976949214935, 0.07527275383472443, -0.006325674243271351, -0.018642131239175797, 0.033819157630205154, ...
AriakimTaiyo/DialoGPT-cultured-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- language: en thumbnail: http://www.huggingtweets.com/omershapira/1668392832122/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; wid...
[ 0.0005172429955564439, -0.03530866280198097, -0.0007271721260622144, 0.056371115148067474, 0.04835875704884529, 0.00988659169524908, -0.01829836331307888, -0.008167101070284843, -0.039497796446084976, 0.03204174339771271, 0.01397970225661993, 0.00030422539566643536, -0.019931713119149208, ...
AriakimTaiyo/DialoGPT-revised-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - zeroth_korean_asr metrics: - wer model-index: - name: hubert_zeroth_gpu results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: zeroth_korean_asr type: zeroth_korean_asr ...
[ -0.0236092209815979, -0.010589949786663055, -0.03622150793671608, 0.041033729910850525, 0.03819245100021362, 0.04824614152312279, -0.025415781885385513, -0.016893742606043816, -0.04310059919953346, 0.06992821395397186, 0.030695680528879166, -0.03221965953707695, 0.011092696338891983, 0.012...
Arkadiusz/Test-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
--- language: - en license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - safetensors inference: false --- Dreambooth model for Klonoa from the videogame series of the same name. Trained for a bro, because none of the models can actually Klonoa. 814 pictures...
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Arnold/wav2vec2-hausa-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: roberta-large-unlabeled-gab-semeval2023-task10-45000sample 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...
[ -0.016782213002443314, -0.013493260368704796, -0.009143946692347527, 0.030332131311297417, 0.05552859604358673, 0.021846957504749298, -0.026193322613835335, -0.016772665083408356, -0.042787835001945496, 0.06369483470916748, 0.028667472302913666, -0.012841867282986641, 0.006080470513552427, ...
ArpanZS/search_model
[ "joblib" ]
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 --- README **U**niversal **I**nformation **E**xtraction for Medical NER Model detail: https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie
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Atiqah/Atiqah
[ "license:artistic-2.0" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - zh tags: - bert license: "apache-2.0" --- # Please use 'Bert' related functions to load this model! ## Chinese small pre-trained model MiniRBT In order to further promote the research and development of Chinese information processing, we launched a Chinese small pre-training model MiniRBT based on t...
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Augustvember/WokkaBot2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: vikram15/t5-small-finetuned-newsSummary results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -...
[ -0.02565905451774597, -0.02234942838549614, 0.018019119277596474, 0.020043445751070976, 0.037592172622680664, -0.0019375113770365715, -0.022708801552653313, -0.010541854426264763, -0.03340373933315277, 0.061963580548763275, 0.017009660601615906, -0.02225274220108986, 0.012851933017373085, ...
Augustvember/wokka5
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: mit tags: - generated_from_keras_callback model-index: - name: ChiefTheLord/codeparrot-ds 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. --> # ChiefTheLord/c...
[ -0.03322822228074074, -0.01829574629664421, -0.0066616409458220005, 0.029005231335759163, 0.041873324662446976, 0.005909041501581669, -0.014758050441741943, -0.007795806508511305, -0.021134264767169952, 0.0570204071700573, 0.014326270669698715, -0.020771879702806473, 0.01572234183549881, 0...
Augustvember/wokkabottest2
[ "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: - generated_from_trainer model-index: - name: bart-finetuned-idl-new 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. --> # bart-finetun...
[ -0.013046013191342354, -0.015134251676499844, -0.009270923212170601, 0.03019934892654419, 0.023407965898513794, 0.021021053194999695, -0.01938924938440323, -0.007066295947879553, -0.03371373564004898, 0.054445475339889526, 0.0324774794280529, -0.012268916703760624, 0.03386740759015083, 0.0...
Ayham/albert_bert_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: swin-tiny-patch4-window7-224-finetuned-eurosat results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder ...
[ -0.021523350849747658, 0.0015278145438060164, -0.010509558953344822, 0.03397802263498306, 0.04202284291386604, -0.011808808892965317, -0.013240071013569832, 0.023414796218276024, -0.0032018215861171484, 0.06302741169929504, 0.011066018603742123, -0.007250094320625067, 0.009184760972857475, ...
Azaghast/DistilBERT-SCP-Class-Classification
[ "pytorch", "distilbert", "text-classification", "transformers" ]
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, ...
42
2022-11-14T13:04:38Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: test-sentiment-model-imdb-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
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Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition
[ "pytorch", "wav2vec2", "audio-classification", "ja", "dataset:jtes", "transformers", "audio", "speech", "speech-emotion-recognition", "has_space" ]
audio-classification
{ "architectures": [ "HubertForSequenceClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: RoniXZONE/distilbert-base-uncased-finetuned-squad 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 ...
[ -0.03327658399939537, -0.01349487155675888, -0.007416314445436001, 0.03786688297986984, 0.03437535837292671, 0.01159216184169054, -0.030439389869570732, -0.009067666716873646, -0.04220128431916237, 0.04494025185704231, 0.030216284096240997, -0.027649996802210808, 0.027080263942480087, 0.02...
Bakkes/BakkesModWiki
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - autotrain - token-classification language: - pt widget: - text: "I love AutoTrain 🤗" datasets: - famube/autotrain-data-documentos-oficiais co2_eq_emissions: emissions: 6.461431564881563 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 2092367351 - CO2 Emissions (in gram...
[ -0.02682563103735447, -0.03109581582248211, 0.0016676472732797265, 0.027542388066649437, 0.039956990629434586, 0.03767617419362068, -0.03128543123602867, -0.0066770329140126705, -0.04448544234037399, 0.07724950462579727, 0.020050033926963806, 0.021338488906621933, -0.012673168443143368, 0....