modelId
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tags
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17 values
config
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downloads
int64
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59.7M
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
T5 LARGE MODEL #1 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
[ -0.030873842537403107, -0.021560529246926308, 0.016375141218304634, 0.025237608700990677, 0.032741744071245193, 0.03315863013267517, -0.02525901049375534, -0.008165508508682251, -0.02262326516211033, 0.021073007956147194, 0.0531940683722496, -0.008452924899756908, 0.026235954836010933, 0.0...
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid
[ "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
2023-04-26T03:11:27Z
T5 LARGE MODEL #2 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
[ -0.02523016557097435, -0.024635134264826775, 0.02271200530230999, 0.024517221376299858, 0.03151150047779083, 0.03468351066112518, -0.023812850937247276, -0.009052804671227932, -0.020737577229738235, 0.020978163927793503, 0.05155692994594574, -0.0022675723303109407, 0.021783242002129555, 0....
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
2023-04-26T03:13:07Z
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - MuYanchen/pokemon-lora These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The ...
[ -0.03323078900575638, -0.012987338937819004, -0.02374890074133873, 0.02748487889766693, 0.04550141096115112, -0.014490463770925999, 0.010042513720691204, -0.01762550137937069, -0.006456212140619755, 0.07040921598672867, 0.02524043805897236, -0.031553443521261215, 0.009242906235158443, 0.03...
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
2023-04-26T03:14:48Z
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04137074574828148, -0.0018504576291888952, -0.0061400774866342545, 0.04704063758254051, 0.02466661110520363, 0.02033820189535618, -0.02638213150203228, -0.032741859555244446, -0.0025163653772324324, 0.04842656850814819, 0.0195700004696846, -0.014653190970420837, 0.01907026208937168, 0.0...
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
2023-04-26T03:16:20Z
--- license: apache-2.0 datasets: - c4 language: - en inference: false --- # MosaicBERT: mosaic-bert-base-seqlen-512 Pretrained Model MosaicBERT-Base is a new BERT architecture and training recipe optimized for fast pretraining. MosaicBERT trains faster and achieves higher pretraining and finetuning accuracy when b...
[ -0.03229488804936409, -0.006518892478197813, -0.008241220377385616, 0.04080142080783844, 0.008949683979153633, 0.018821703270077705, -0.006700236815959215, -0.03438630700111389, -0.00441006338223815, 0.04568052664399147, 0.013972318731248379, -0.036487046629190445, 0.007515397388488054, 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
2023-04-26T03:19:22Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02035835012793541, -0.005365649703890085, 0.010860883630812168, 0.039203304797410965, 0.032380785793066025, 0.015006876550614834, -0.026698997244238853, -0.01661265268921852, -0.01703483611345291, 0.06275961548089981, 0.00574103370308876, 0.0014525526203215122, 0.011353189125657082, 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 luotr123/lora is restricted and you are not in the authorized list. Visit https://huggingface.co/luotr123/lora to ask for access.
[ -0.045754291117191315, 0.004190140403807163, 0.004463684745132923, 0.028550738468766212, 0.03838178887963295, -0.005085289943963289, -0.0014374349266290665, -0.009244021959602833, -0.04496151581406593, 0.04408743977546692, 0.0435766838490963, -0.0314897857606411, 0.004171527922153473, 0.04...
albert-xxlarge-v2
[ "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_...
42,640
2023-04-26T03:21:24Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: test-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. --> # test-finetuned This...
[ -0.02182038314640522, -0.02067715674638748, -0.003281800542026758, 0.03498547151684761, 0.03599794581532478, 0.017143867909908295, -0.014004097320139408, -0.015886714681982994, -0.04283933714032173, 0.05150078982114792, 0.02111375331878662, -0.017309002578258514, 0.015359984710812569, 0.04...
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
2023-04-26T03:24:51Z
--- license: mit --- ### brocolli-haai on Stable Diffusion This is the `<brocolli-photo>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inferenc...
[ -0.023519735783338547, -0.010478268377482891, -0.025930289179086685, 0.026341883465647697, 0.002660926431417465, 0.0026288959197700024, -0.003434510435909033, -0.005948524922132492, -0.035567041486501694, 0.044322166591882706, 0.013679898343980312, -0.01678363047540188, 0.035317882895469666,...
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
2023-04-26T03:38:04Z
--- 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 ...
[ -0.039449065923690796, -0.016668224707245827, -0.01469708513468504, 0.03691954165697098, 0.049422334879636765, -0.004479409195482731, -0.015158415772020817, -0.023916590958833694, -0.028513863682746887, 0.05377089977264404, 0.020182356238365173, -0.032258737832307816, 0.018056906759738922, ...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
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...
4,749,504
2023-04-26T03:38:10Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.032463353127241135, 0.01858159340918064, 0.003879307070747018, 0.007756080012768507, 0.04578593373298645, -0.0202318262308836, -0.024115851148962975, -0.017506539821624756, -0.0330696739256382, 0.08505337685346603, 0.02046097069978714, -0.011574017815291882, 0.016531523317098618, 0.0169...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "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...
8,214
2023-04-26T03:42:37Z
--- language: - en tags: - causal-lm - llama license: cc-by-nc-sa-4.0 datasets: - OpenAssistant/oasst1 - nomic-ai/gpt4all_prompt_generations - tatsu-lab/alpaca --- # StableVicuna-13B ## Model Description StableVicuna-13B is a [Vicuna-13B v0](https://huggingface.co/lmsys/vicuna-13b-delta-v0) model fine-tu...
[ -0.04581497237086296, -0.007925586774945259, 0.018935229629278183, 0.03394443914294243, 0.050511062145233154, -0.000029673397875740193, 0.012169760651886463, -0.015262065455317497, -0.003047708421945572, 0.06367630511522293, 0.022674288600683212, -0.029147377237677574, 0.03709712624549866, ...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "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...
388,769
2023-04-26T03:45:32Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04358012601733208, -0.003760646330192685, 0.011790286749601364, 0.03693811222910881, 0.025384986773133278, -0.01260346919298172, -0.010642770677804947, -0.025382457301020622, -0.0407436303794384, 0.055037759244441986, 0.03791553154587746, 0.0010174670023843646, 0.017412036657333374, 0.0...
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
2023-04-26T03:52:50Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-finetuned-on-shEMO 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 com...
[ -0.026303356513381004, -0.009345044381916523, -0.0016335146501660347, 0.018735190853476524, 0.03511163964867592, 0.00427198875695467, -0.009750602766871452, 0.013889992609620094, -0.03860126808285713, 0.045413482934236526, 0.023516610264778137, -0.02326294779777527, 0.019206875935196877, 0...
camembert-base
[ "pytorch", "tf", "safetensors", "camembert", "fill-mask", "fr", "dataset:oscar", "arxiv:1911.03894", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
1,440,898
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: iewav2vec2-finetuned-on-shEMO 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 c...
[ -0.022861529141664505, -0.006196126341819763, 0.00684149656444788, 0.01013187225908041, 0.03617143630981445, -0.01006742101162672, -0.011799464002251625, 0.00898390356451273, -0.046231113374233246, 0.044795695692300797, 0.018807072192430496, -0.03087655082345009, 0.022594640031456947, 0.03...
ctrl
[ "pytorch", "tf", "ctrl", "en", "arxiv:1909.05858", "arxiv:1910.09700", "transformers", "license:bsd-3-clause", "has_space" ]
null
{ "architectures": null, "model_type": "ctrl", "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...
17,007
2023-04-26T04:00:56Z
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) second deal ## Usage ```python from diffusers import DDPMPipeline pipeline = DDP...
[ -0.0034966301172971725, -0.020954282954335213, 0.01443384774029255, 0.02461153082549572, 0.0376242958009243, 0.014013820327818394, 0.0016120369546115398, 0.0013796163257211447, -0.008378333412110806, 0.05336476489901543, 0.014900239184498787, 0.008431432768702507, 0.025700276717543602, 0.0...
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
2023-04-26T04:04:44Z
--- datasets: - seamew/ChnSentiCorp language: - zh metrics: - accuracy - precision - f1 - recall pipeline_tag: text-classification --- # hfl-rbt6-ChnSentiCorp-sentiment-classifier This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the [seamew/ChnSentiCorp](https://huggingface.co/datas...
[ -0.017073551192879677, -0.027859065681695938, -0.015378043055534363, 0.04307697340846062, 0.04068345949053764, 0.009469064883887768, -0.02863248623907566, -0.018672892823815346, -0.045792944729328156, 0.060585036873817444, 0.02748952805995941, -0.012345446273684502, -0.006141314283013344, ...
distilbert-base-cased
[ "pytorch", "tf", "onnx", "distilbert", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "license:apache-2.0", "has_space" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
574,859
2023-04-26T04:05:07Z
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04555486515164375, -0.0017913919873535633, -0.021920401602983475, 0.03271972015500069, 0.04370424896478653, 0.01782131940126419, -0.018413593992590904, -0.030441908165812492, -0.03710787743330002, 0.06895175576210022, 0.021582474932074547, 0.003158238949254155, 0.01530277170240879, 0.02...
AbderrahimRezki/HarryPotterBot
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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
2023-04-26T09:00:32Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.009697762317955494, 0.010694772005081177, -0.02825198508799076, 0.03594798222184181, 0.06160988658666611, 0.032613277435302734, -0.022661153227090836, -0.036297500133514404, -0.0329388789832592, 0.057018179446458817, 0.0180375799536705, -0.04607260227203369, 0.034326035529375076, 0.0444...
Abirate/code_net_similarity_model_sub23_fbert
[ "tf", "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
2023-04-26T09:18:43Z
--- tags: - spacy - token-classification language: - en model-index: - name: en_gendered_job_advertisements results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.996487707 - name: NER Recall type: recall value: 0...
[ 0.02207263372838497, -0.014011118561029434, -0.007362584117799997, 0.02746465988457203, 0.0785384401679039, 0.017917005345225334, -0.024231791496276855, -0.010203266516327858, -0.04126213118433952, 0.05621538683772087, 0.029582012444734573, 0.0018581118201836944, 0.01749248430132866, 0.041...
Ahmadatiya97/Alannah
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03791318088769913, -0.0024933479726314545, -0.005424428265541792, 0.0254967138171196, 0.04520568251609802, -0.02134610526263714, -0.005136554595082998, -0.027564935386180878, -0.03280886262655258, 0.06655829399824142, 0.032075975090265274, -0.023437051102519035, 0.022494999691843987, 0....
AhmedBou/TuniBert
[ "pytorch", "bert", "text-classification", "ar", "transformers", "sentiment analysis", "classification", "arabic dialect", "tunisian dialect", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
44
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.021232018247246742, -0.012860175222158432, 0.0134122921153903, 0.031092246994376183, 0.02438649721443653, 0.024764584377408028, 0.0039305430836975574, -0.007753729820251465, -0.006543491501361132, 0.06332551687955856, -0.001163151697255671, -0.016491761431097984, 0.024286014959216118, 0...
Akash7897/my-newtokenizer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - zh license: mit tags: - 1.1.0 - generated_from_trainer datasets: - facebook/voxpopuli model-index: - name: SpeechT5 TTS Dutch neunit results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete...
[ -0.019538260996341705, -0.02061576209962368, -0.014291264116764069, 0.03378823772072792, 0.03110615722835064, 0.0426911935210228, -0.007505070883780718, -0.0137670012190938, -0.027190418913960457, 0.05807897448539734, 0.03002943843603134, -0.022615201771259308, 0.02303444966673851, 0.03397...
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
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.040635231882333755, -0.0009135224390774965, -0.006504566874355078, 0.048025693744421005, 0.024214021861553192, 0.0194684024900198, -0.025668438524007797, -0.031601421535015106, -0.0038774313870817423, 0.05051247775554657, 0.019325552508234978, -0.015045893378555775, 0.020251570269465446, ...
Akashpb13/xlsr_maltese_wav2vec2
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "mt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "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...
8
null
Sequence Classification model fine-tuned from `emanjavacas/MacBERTh` on a dataset of manually annotated ing-forms. The classification schemes is as follows: ``` ['NAME', 'NOMINAL-ING', 'NOUN', 'PARTICIPLE', 'VERB'] ```
[ -0.040972836315631866, 0.0016726695466786623, 0.011806811206042767, 0.03453732654452324, 0.030004339292645454, 0.02075885236263275, -0.010803635232150555, -0.007679968141019344, -0.026008695363998413, 0.03948189690709114, 0.015605423599481583, 0.011433899402618408, 0.032857440412044525, 0....
AkshaySg/GrammarCorrection
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter_v2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04112987220287323, 0.014978415332734585, 0.01517267432063818, 0.01727975532412529, 0.04846473038196564, -0.013749143108725548, -0.020502911880612373, -0.023378318175673485, -0.016424989327788353, 0.068357452750206, 0.03645537793636322, -0.005758426617830992, 0.010371467098593712, -0.006...
AkshaySg/gramCorrection
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
4
null
--- license: mit tags: - generated_from_trainer model-index: - name: seq_gender_changer 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. --> # seq_gender_changer Thi...
[ -0.06235234811902046, -0.0028294972144067287, -0.005931469611823559, 0.04614194110035896, 0.042083173990249634, -0.0012704813852906227, -0.016481921076774597, -0.005349092185497284, -0.057645950466394424, 0.07735107094049454, 0.01665920577943325, -0.020921124145388603, 0.0390503890812397, ...
AlErysvi/Erys
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model jonimakaroni/autotrain-maskiner1-52835124444 is restricted and you are not in the authorized list. Visit https://huggingface.co/jonimakaroni/autotrain-maskiner1-52835124444 to ask for access.
[ -0.06169484928250313, -0.00563781289383769, 0.006587914656847715, 0.025126801803708076, 0.05969569832086563, 0.014752964489161968, 0.006491652224212885, 0.0015538220759481192, -0.03871222957968712, 0.04887349531054497, 0.034242648631334305, -0.003346588695421815, 0.006389751099050045, 0.03...
Aleksandar/distilbert-srb-ner-setimes
[ "pytorch", "distilbert", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2023-04-26T14:07:58Z
--- pipeline_tag: text-classification widget: - text: 'He loves learning new things.' - text: 'I go to university every day.' ---
[ -0.0088266646489501, -0.0027050927747040987, 0.0031998364720493555, 0.028105081990361214, 0.04876530170440674, 0.02837846241891384, -0.014560682699084282, 0.007375926245003939, -0.013639121316373348, 0.07513049244880676, 0.0357355996966362, 0.007981923408806324, 0.01663672737777233, 0.0372...
Aleksandar1932/gpt2-hip-hop
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- 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...
Aleksandar1932/gpt2-rock-124439808
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- library_name: 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 ...
[ -0.04008321836590767, -0.01641092821955681, -0.01518163736909628, 0.03727969527244568, 0.04857232794165611, -0.005091822240501642, -0.013663854449987411, -0.02535921335220337, -0.03150782734155655, 0.0537702739238739, 0.02331814356148243, -0.03219042345881462, 0.018416736274957657, 0.01430...
Aleksandar1932/gpt2-soul
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # The Ally API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/16106028811682518670.png) ## Get API Key...
[ -0.03581061586737633, -0.03227698430418968, -0.01763310097157955, 0.03174775466322899, 0.051978498697280884, 0.016824353486299515, -0.016229307278990746, 0.0010097009362652898, -0.029067229479551315, 0.046742815524339676, 0.03981662169098854, -0.012577774003148079, 0.018028538674116135, 0....
AlekseyKorshuk/bert
[ "pytorch", "distilbert", "text-classification", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: cc-by-4.0 tags: - generated_from_trainer datasets: - opus_books model-index: - name: opus-mt-tc-big-en-pt-finetuned-en-to-pt results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then r...
[ -0.00769133772701025, -0.009125212207436562, 0.01506390143185854, 0.04238785803318024, 0.013297870755195618, 0.0070074256509542465, -0.0049084569327533245, -0.018000388517975807, -0.0295623317360878, 0.04650004953145981, 0.036131925880908966, 0.00046967543312348425, 0.004367839079350233, 0...
AlekseyKulnevich/Pegasus-QuestionGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
17
null
--- 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 ...
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Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "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": nul...
7
null
--- language: fo tag: text2text-generation pipeline_tag: text2text-generation widget: - text: "Lutfalsligá er vøksturin líka stórur á Suðuro)rar sjúkrahúsi, meðan ]ítil og ongin vøkstur er á Klaksvíkar sjúkráhúsi" inference: parameters: max_length: 512 --- # Model Card for Model ID <!-- Provide a quick summary o...
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Alessandro/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.04064176231622696, 0.016186095774173737, 0.014755822718143463, 0.017079995945096016, 0.048395924270153046, -0.013291978277266026, -0.019029540941119194, -0.023964345455169678, -0.017243850976228714, 0.06842586398124695, 0.03678547963500023, -0.0070063588209450245, 0.011852818541228771, ...
AlgoveraAI/dcgan
[ "pytorch", "transformers" ]
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...
12
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # All purpose x API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/7998435281682520705.png) ## Get API...
[ -0.03347872197628021, -0.03715113550424576, -0.016828617081046104, 0.019482284784317017, 0.048231445252895355, 0.02608562260866165, -0.016063809394836426, -0.006542392075061798, -0.012981165200471878, 0.050939422100782394, 0.03135203197598457, -0.0028915994334965944, 0.01447234582155943, 0...
Alireza-rw/testbot
[]
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # /var/folders/v_/w7nxwv4x5sn0w4tljphryf6r0000gn/T/tmp55o9wyrf/aymericb/shale_oil_detector This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification...
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Alireza1044/albert-base-v2-mnli
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
235
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_modified_for_t5_qg model-index: - name: t5-end2end-questions-generation results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.008044175803661346, -0.007165196351706982, -0.000905040476936847, 0.03706332668662071, 0.03883455693721771, 0.010874206200242043, -0.022425949573516846, 0.004972548224031925, -0.04248645901679993, 0.026954665780067444, 0.023701103404164314, -0.015791306272149086, -0.0038263914175331593, ...
Alireza1044/albert-base-v2-qnli
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
41
null
--- language: - is pipeline_tag: text-classification widget: - text: langar þér í sígó - text: >- Frumvarpið hafi verið samþykkt til framlagningar af ríkisstjórn 24. febrúar. metrics: - accuracy library_name: transformers ---
[ -0.023318903520703316, -0.019775735214352608, 0.00951444637030363, 0.038668420165777206, 0.0701451525092125, 0.013446049764752388, -0.012531967833638191, -0.006003076210618019, -0.04375598579645157, 0.06829491257667542, 0.03165769577026367, -0.00742971571162343, -0.01880173571407795, 0.030...
Alireza1044/albert-base-v2-qqp
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.023348383605480194, -0.024343149736523628, -0.022469503805041313, 0.059188518673181534, 0.03195517510175705, 0.032089170068502426, -0.01813533343374729, 0.007169549819082022, -0.06468282639980316, 0.08026324957609177, 0.028194304555654526, 0.011566432192921638, 0.00956239178776741, 0.03...
Alireza1044/albert-base-v2-sst2
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
52
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049702487885951996, -0.01612679287791252, -0.008549865335226059, 0.03621427342295647, 0.04110133647918701, 0.002501361072063446, -0.02114374376833439, -0.010983729735016823, -0.03748834878206253, 0.057420846074819565, 0.024885326623916626, -0.003633784828707576, 0.03165903687477112, 0.0...
AnonymousSub/cline-emanuals-s10-SR
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: wiki-sparql-models 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. --> # wiki-sparql-models This model is a ...
[ -0.010284176096320152, -0.02660130336880684, -0.019824132323265076, 0.036334119737148285, 0.04299074411392212, 0.003297582035884261, -0.012804392725229263, -0.005857435055077076, -0.03970786929130554, 0.047736965119838715, 0.0032836366444826126, -0.026970278471708298, 0.010953482240438461, ...
AnonymousSub/cline_emanuals
[ "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...
3
null
--- license: other tags: - generated_from_trainer model-index: - name: opt-350m_ver_10 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. --> # opt-350m_ver_10 This mo...
[ -0.03184608370065689, -0.003930882550776005, -0.008218112401664257, 0.027918171137571335, 0.03323763236403465, 0.0219938512891531, -0.018280144780874252, -0.009675983339548111, -0.03167690709233284, 0.05194966495037079, 0.04319021478295326, -0.02218055911362171, -0.0035695203114300966, 0.0...
AnonymousSub/declutr-model
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
2023-04-26T19:57:23Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.050110965967178345, -0.016005409881472588, -0.008714594878256321, 0.03626284748315811, 0.04084276780486107, 0.0030322070233523846, -0.021296411752700806, -0.010233351029455662, -0.03800760582089424, 0.05689598247408867, 0.024338249117136, -0.0029940069653093815, 0.03183479234576225, 0.0...
Aran/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2023-04-27T01:02:34Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021757496520876884, -0.005647207610309124, 0.010246992111206055, 0.040115732699632645, 0.03255738690495491, 0.015567339025437832, -0.02858920395374298, -0.0159335657954216, -0.016098573803901672, 0.061509814113378525, 0.006119688507169485, 0.0005858239601366222, 0.010238686576485634, 0....
ArashEsk95/bert-base-uncased-finetuned-cola
[]
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: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - food widget: - text: a photo of noodle soup with pork, vegetables, corn, seaweed --- # DreamBooth model for the noodle concept trained by kayachua on the kayachua/noodles ...
[ -0.02060590125620365, -0.012965784408152103, -0.009939998388290405, 0.026229076087474823, 0.028004115447402, -0.002445077523589134, 0.00846903771162033, 0.023951759561896324, -0.014550051651895046, 0.05584508180618286, 0.03920644149184227, 0.007140515372157097, -0.0009300366509705782, 0.02...
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
--- 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...
[ -0.014825564809143543, 0.007433241233229637, -0.0317513532936573, 0.04424193874001503, 0.050471872091293335, 0.0033688799012452364, -0.02546987682580948, -0.018412228673696518, -0.03163561597466469, 0.053123053163290024, 0.007245615590363741, -0.02445775270462036, 0.008761554025113583, 0.0...
ArcQ/gpt-experiments
[]
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 pipeline_tag: text-to-image tags: - art ---
[ -0.009419097565114498, -0.017673756927251816, 0.0017517950618639588, 0.00930229015648365, 0.05697868764400482, -0.0011845137923955917, -0.0025317007675766945, 0.015529746189713478, -0.0062639773823320866, 0.05070735886693001, 0.017647214233875275, -0.0011200220324099064, 0.004918060731142759...
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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.015461987815797329, -0.010316873900592327, -0.030681688338518143, 0.045697931200265884, 0.03604310750961304, 0.0367308035492897, -0.019880669191479683, -0.019976437091827393, -0.036111123859882355, 0.06531070172786713, 0.04605313017964363, -0.019031886011362076, 0.020377106964588165, 0....
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # /var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmp_un7plj_/killshot977/my-awesome-setfit-model This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classi...
[ -0.019837984815239906, -0.03263850510120392, -0.010006853379309177, 0.057591091841459274, 0.022436855360865593, 0.028105592355132103, -0.019230838865041733, -0.005099019967019558, -0.03295908123254776, 0.06433764845132828, 0.019777018576860428, 0.020959343761205673, 0.02190263196825981, 0....
AriakimTaiyo/DialoGPT-small-Rikka
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: other tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: plant-seedlings-model-mit results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default spl...
[ -0.027447853237390518, -0.0020781592465937138, -0.012416643090546131, 0.035604625940322876, 0.034936606884002686, 0.0018087124917656183, -0.004682880826294422, -0.01287603285163641, -0.011739668436348438, 0.04698820412158966, 0.013327578082680702, -0.013161922805011272, 0.01034577190876007, ...
ArjunKadya/HuggingFace
[]
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
# Vicuna 13B V1.1 Chinese 4bit ggml format This model was obtained from following repo: * uukuguy/vicuna-13b-v1.1 * ziqingyang/chinese-alpaca-lora-13b Merged using sciprts from: https://github.com/ymcui/Chinese-LLaMA-Alpaca **License:** Apache License 2.0i Result ![alt 示例](./2023.4.28.png)
[ -0.058154985308647156, -0.03056374564766884, -0.0015309758018702269, 0.02661150135099888, 0.05359235405921936, -0.0032037298660725355, 0.016644861549139023, 0.0033738461788743734, -0.006309653632342815, 0.04372876137495041, 0.03830024227499962, -0.014953626319766045, 0.027041669934988022, ...
asaakyan/mbart-poetic-all
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T02:07:11Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: my_awesome_food_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. ...
[ -0.03435071185231209, -0.008643165230751038, 0.002480593044310808, 0.03016534261405468, 0.025731397792696953, 0.008643846027553082, 0.005323678255081177, -0.005324671044945717, -0.02663765475153923, 0.06754529476165771, 0.03476018086075783, -0.010389652103185654, 0.005123000126332045, 0.01...
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: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: plant-seedlings-model-swin results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default ...
[ -0.02242177352309227, -0.0006763135315850377, -0.017922163009643555, 0.04004085063934326, 0.03841426596045494, -0.007768952753394842, -0.012355105951428413, 0.0009082562173716724, 0.003328491235151887, 0.0523218996822834, 0.009434152394533157, -0.009969769977033138, -0.0035299849696457386, ...
Aron/distilbert-base-uncased-finetuned-emotion
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "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, ...
36
null
Experimental Stable Diffusion 1.5 finetune on fxhash tokens
[ -0.009508398361504078, -0.024013228714466095, 0.0107972901314497, -0.017078883945941925, 0.030410384759306908, -0.017746577039361, 0.01278536394238472, 0.007787513546645641, -0.019592592492699623, 0.0296935997903347, 0.038824792951345444, 0.0069791823625564575, 0.01580321229994297, 0.03878...
ArthurBaia/bert-base-portuguese-cased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model Heartsream/vit-KAIYI is restricted and you are not in the authorized list. Visit https://huggingface.co/Heartsream/vit-KAIYI to ask for access.
[ -0.05221164599061012, 0.008202445693314075, 0.036798059940338135, -0.01715017668902874, 0.03901693969964981, -0.006677134893834591, 0.018539637327194214, -0.00598562229424715, -0.033866189420223236, 0.0434269979596138, 0.023089997470378876, 0.003348782891407609, 0.026604484766721725, 0.035...
Aruden/DialoGPT-medium-harrypotterall
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: wd_0.01_bs_24_lr_2e-05_epochs_4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove thi...
[ -0.026150163263082504, -0.011594369076192379, -0.026432938873767853, 0.04878395050764084, 0.052683260291814804, 0.026256902143359184, -0.017264612019062042, 0.00846675131469965, -0.03198998421430588, 0.05391569808125496, 0.0335005559027195, -0.017446454614400864, 0.010032414458692074, 0.05...
Ashim/dga-transformer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: text-to-image --- # Project Name Pixel art style Lora: Basepixel ## Description I am new here join the family making AI drawing much more interesting! Here is the first time I train a usful Lora for Pixel Art style. Here is the result of the various epoch I trained. Feel free to download. welcome to...
[ 0.0027151957619935274, -0.015394231304526329, -0.0019478279864415526, 0.05829896777868271, 0.06242392957210541, 0.003444141708314419, -0.005822498816996813, -0.031022297218441963, -0.014599847607314587, 0.06384826451539993, 0.009255089797079563, -0.04373158887028694, -0.009667472913861275, ...
Ashkanmh/bert-base-parsbert-uncased-finetuned
[ "pytorch", "tensorboard", "bert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: wd_0.02_bs_12_lr_2e-05_epochs_4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.029024992138147354, -0.013523434288799763, -0.022824442014098167, 0.0501437783241272, 0.05532500147819519, 0.03143560513854027, -0.021546222269535065, 0.017661212012171745, -0.0336502380669117, 0.056802257895469666, 0.05074451491236687, -0.01844584010541439, 0.009086618199944496, 0.0437...
Ashok/my-new-tokenizer
[]
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 - en pipeline_tag: text-generation inference: false library_name: transformers --- # ⚠️ DEPRECATION WARNING ⚠️ This model is an outdated version and has been preserved specifically for evaluating differences between model versions. We highly recommend visiting our GitHub repository to find and use...
[ -0.019465725868940353, -0.0107802152633667, -0.023204179480671883, 0.03394566476345062, 0.051712796092033386, 0.02050027810037136, -0.02217620052397251, -0.0001565453567309305, -0.038225241005420685, 0.06291879713535309, 0.048125166445970535, -0.024009980261325836, 0.02001798525452614, 0.0...
AshtonBenson/DialoGPT-small-quentin-coldwater
[]
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: wd_0.01_bs_12_lr_2e-05_epochs_4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove thi...
[ -0.024148352444171906, -0.013216827064752579, -0.02508656121790409, 0.04729565605521202, 0.053792860358953476, 0.03131575509905815, -0.02117372304201126, 0.015435286797583103, -0.034059856086969376, 0.05828152224421501, 0.0483107715845108, -0.016513554379343987, 0.009725721552968025, 0.047...
AshtonBenson/DialoGPT-small-quentin
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T03:15:36Z
--- license: mit tags: - generated_from_trainer datasets: - squad model-index: - name: wd_0.01_bs_24_lr_1e-05_epochs_4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.03711536526679993, -0.008988182991743088, -0.02495514415204525, 0.05273803696036339, 0.04887013137340546, 0.029151499271392822, -0.016947787255048752, 0.0146302729845047, -0.029252178966999054, 0.05876415967941284, 0.03743337467312813, -0.020162219181656837, 0.018368665128946304, 0.0463...
At3ee/wav2vec2-base-timit-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T03:21:22Z
--- license: creativeml-openrail-m base_model: XpucT/Deliberate instance_prompt: a pencil sketch in style02_V21_768_set05B style tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - satani/400 These are LoRA adaption weights for XpucT/De...
[ -0.032077766954898834, -0.011005942709743977, -0.011586812324821949, 0.03603462874889374, 0.03910403698682785, 0.014836106449365616, -0.009626966901123524, -0.0006924537592567503, -0.0015151191037148237, 0.05758142098784447, 0.008837723173201084, -0.038957517594099045, -0.02777235396206379, ...
Atchuth/MBOT
[]
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 base_model: XpucT/Deliberate instance_prompt: a pencil sketch in style02_V21_768_set05B style tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - satani/600 These are LoRA adaption weights for XpucT/De...
[ -0.032188404351472855, -0.010725540108978748, -0.011479719541966915, 0.036071132868528366, 0.03901363164186478, 0.01464193407446146, -0.009710966609418392, -0.001263860729523003, -0.0018184804357588291, 0.05773171782493591, 0.009229732677340508, -0.03866615518927574, -0.02750144526362419, ...
Ateeb/EmotionDetector
[ "pytorch", "funnel", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "FunnelForSequenceClassification" ], "model_type": "funnel", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
32
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
[ -0.007389966398477554, 0.002044172491878271, -0.025711413472890854, 0.03988448530435562, 0.04682781547307968, 0.01435170229524374, -0.03221778944134712, -0.024170799180865288, -0.028361748903989792, 0.054472070187330246, 0.005332177970558405, -0.013839791528880596, 0.019043058156967163, 0....
Ateeb/QA
[ "pytorch", "distilbert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
4
2023-04-27T03:39:06Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - amazon_reviews_multi metrics: - accuracy model-index: - name: roberta-base-bne-jou-amazon_reviews_multi results: - task: name: Text Classification type: text-classification dataset: name: amazon_reviews_multi type: amazon...
[ -0.03343648836016655, -0.000591444899328053, 0.014351525343954563, 0.03343619033694267, 0.024918124079704285, 0.029738305136561394, -0.0030220511835068464, -0.021268989890813828, -0.045532479882240295, 0.02774829976260662, 0.022242959588766098, -0.016670815646648407, -0.005286052357405424, ...
Ateeb/SquadQA
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T03:39:27Z
--- license: other tags: - generated_from_trainer datasets: - lmflow_instruction model-index: - name: 052_lmflow_inst-tuning_model-llama-7b_num-epoch-5_init-lr-1e-4_bf-16_lora_blocksize768 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. Yo...
[ -0.042744141072034836, 0.0007257297402247787, -0.01566407084465027, 0.0367429219186306, 0.03064741939306259, 0.014502248726785183, 0.0036091674119234085, -0.022571926936507225, -0.011373274028301239, 0.058712437748909, 0.04987459257245064, -0.04251602664589882, 0.023329757153987885, 0.0249...
Atlasky/turkish-negator-nn
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T03:45:36Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: KigenCHESS/eng-sw_translation1 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. --> # Kig...
[ -0.024116316810250282, -0.022128069773316383, 0.012240786105394363, 0.022255852818489075, 0.03994651883840561, 0.003898806171491742, -0.0036634625867009163, -0.0038892976008355618, -0.03979867324233055, 0.06759144365787506, 0.0038450704887509346, -0.02787717990577221, 0.019493164494633675, ...
Augustvember/WokkaBot3
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.020888540893793106, -0.00670992536470294, 0.011244007386267185, 0.04008464887738228, 0.03293748199939728, 0.0149498600512743, -0.028476154431700706, -0.015780171379446983, -0.016020404174923897, 0.062064021825790405, 0.006290484219789505, 0.0017732642590999603, 0.011653552763164043, 0.0...
Aybars/XLM_Turkish
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
4
null
<p><strong><font size="5">Information</font></strong></p> GPT4-X-Alpasta-30b working with Oobabooga's Text Generation Webui and KoboldAI. <p>This is an attempt at improving Open Assistant's performance as an instruct while retaining its excellent prose. The merge consists of <a href="https://huggingface.co/chansung/gpt...
[ -0.01547457929700613, -0.0028787695337086916, -0.013357407413423061, 0.06431973725557327, 0.053520962595939636, 0.014621890150010586, 0.0097105847671628, 0.0012236324837431312, -0.01953994855284691, 0.029240112751722336, 0.03323975205421448, -0.01953616365790367, -0.005637252703309059, 0.0...
Ayham/bertgpt2_cnn
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ###
[ -0.00881071574985981, -0.017815297469496727, -0.02824007160961628, 0.004561597015708685, 0.05108777433633804, -0.011448806151747704, 0.01395817194133997, 0.01944391243159771, -0.018131541088223457, 0.03796129673719406, 0.031043199822306633, 0.007373145315796137, 0.018309930339455605, 0.037...
Ayham/roberta_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: - billsum metrics: - rouge model-index: - name: my_awesome_billsum_model results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: billsum type: billsum config: default ...
[ -0.008410419337451458, -0.014562810771167278, -0.013855865225195885, 0.025919785723090172, 0.011776139959692955, 0.03100726753473282, -0.010790071450173855, -0.021587710827589035, -0.04102075845003128, 0.053233418613672256, 0.04906155914068222, -0.011456550098955631, -0.009670759551227093, ...
Ayham/roberta_gpt2_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
31
null
--- license: apache-2.0 datasets: - lambdalabs/pokemon-blip-captions language: - en --- This is the highly optimized version of the [Stable Diffusion model for pokemon generation](https://huggingface.co/svjack/Stable-Diffusion-Pokemon-en). The model was optimized with a combination of two methods: * Quantization-awar...
[ -0.016985733062028885, -0.013826435431838036, -0.004005092196166515, 0.02676859311759472, 0.04113653674721718, -0.017613498494029045, 0.01749752089381218, -0.018495352938771248, -0.010744430124759674, 0.05308898538351059, 0.03682858124375343, -0.02204938605427742, 0.022216765210032463, 0.0...
Ayoola/pytorch_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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
[ -0.007545049302279949, 0.002221165457740426, -0.030521143227815628, 0.039454758167266846, 0.05421441048383713, 0.0115497512742877, -0.03079192526638508, -0.026550373062491417, -0.027984919026494026, 0.05484651401638985, 0.0020795913878828287, -0.013448878191411495, 0.013026222586631775, 0....
BME-TMIT/foszt2oszt
[ "pytorch", "encoder-decoder", "text2text-generation", "hu", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
15
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.03526156395673752, 0.00392100540921092, -0.018447263166308403, 0.04912378266453743, 0.03311995416879654, 0.02727491781115532, -0.03130531311035156, -0.03201095759868622, -0.014886081218719482, 0.05386599898338318, 0.01132436003535986, -0.022661136463284492, 0.0056686135940253735, 0.0258...
BSC-LT/gpt2-large-bne
[ "pytorch", "gpt2", "text-generation", "es", "dataset:bne", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: my_model_2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # my_model_2 This model i...
[ -0.0270937941968441, -0.006705809850245714, -0.01629280298948288, 0.041074927896261215, 0.03574683144688606, 0.022314483299851418, -0.011694077402353287, -0.00410248851403594, -0.039045799523591995, 0.06061079353094101, 0.036154065281152725, -0.021612850949168205, 0.003722685854882002, 0.0...
BSC-LT/roberta-base-bne-capitel-ner
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "ner", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- tags: - autotrain - translation language: - unk - unk datasets: - XDawned/autotrain-data-t4 co2_eq_emissions: emissions: 0.3206769635396382 --- # Model Trained Using AutoTrain - Problem type: Translation - Model ID: 53231125336 - CO2 Emissions (in grams): 0.3207 ## Validation Metrics - Loss: 0.628 - SacreBLEU...
[ -0.023624546825885773, -0.009160568006336689, 0.015582171268761158, 0.019888440147042274, 0.05616721510887146, 0.013679860159754753, -0.013266626745462418, -0.012547105550765991, -0.053885627537965775, 0.06489185243844986, 0.00956916343420744, -0.00011840768274851143, 0.0057540698908269405, ...
BalajiSathesh/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - autotrain - vision - image-classification datasets: - Binssin/autotrain-data-faceclassifiervideo widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_tit...
[ -0.013853533193469048, -0.021185822784900665, 0.014380784705281258, 0.041440047323703766, 0.050107479095458984, 0.002072226023301482, -0.020374806597828865, -0.0021516375709325075, -0.03997354581952095, 0.07279326766729355, -0.006515419110655785, -0.0023072536569088697, 0.011184859089553356,...
Banshee/dialoGPT-small-luke
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - xsum model-index: - name: t5-small-finetuned-xsum results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -...
[ -0.01122666522860527, -0.008690094575285912, 0.012146137654781342, 0.023441564291715622, 0.025597400963306427, 0.006512947380542755, -0.02627192810177803, -0.013879320584237576, -0.0295219998806715, 0.049526646733284, 0.03924166411161423, -0.011511833406984806, 0.0018814638024196029, 0.043...
Barbarameerr/Barbara
[]
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: KigenCHESS/final_eng-sw_translation 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. --> ...
[ -0.02613239735364914, -0.0226361695677042, 0.010442721657454967, 0.023818381130695343, 0.04143457114696503, 0.004819248337298632, -0.003128621494397521, -0.0031650823075324297, -0.04256638139486313, 0.0669768750667572, 0.0008872859762050211, -0.028314711526036263, 0.02057136408984661, 0.04...
Barleysack/AERoberta
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- datasets: - SLPL/naab language: - fa metrics: - accuracy --- [Still in Progress]
[ -0.036245815455913544, -0.00845947116613388, 0.008044236339628696, 0.030184846371412277, 0.06776831299066544, 0.013594621792435646, 0.00395288597792387, 0.006117335520684719, -0.04538895562291145, 0.04080191254615784, 0.030305877327919006, 0.008760066702961922, 0.01979055441915989, 0.03289...
Barleysack/AERoberta2
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- license: gpl-3.0 --- ### 8-bit quantization and 128 groupsize for LLaMA 7B Consumes approximately 8.5G of graphics memory ```text "input":the mean of life is "output":the mean of life is 70 years. the median age at death in a population, regardless if it's male or female? ```
[ -0.03478095680475235, 0.012981625273823738, -0.014369778335094452, 0.026837216690182686, 0.054472774267196655, -0.008923829533159733, 0.010565243661403656, 0.027435898780822754, -0.03119724802672863, 0.0479450449347496, 0.06925453245639801, -0.027405995875597, 0.026440739631652832, 0.03590...
Barytes/hellohf
[ "tf", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
2023-04-27T07:58:10Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022136341780424118, -0.006046710070222616, 0.011184445582330227, 0.038729228079319, 0.03237006813287735, 0.0151224909350276, -0.02886437065899372, -0.01650230400264263, -0.016944970935583115, 0.0615968182682991, 0.0075976550579071045, 0.00041557199438102543, 0.010726459324359894, 0.0241...
BatuhanYilmaz/dummy-model
[ "tf", "camembert", "fill-mask", "transformers", "generated_from_keras_callback", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
6
2023-04-27T08:03:22Z
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image inference: true extra_gated_prompt: >- This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: ...
[ -0.008724802173674107, -0.006164496298879385, -0.030833398923277855, 0.017594335600733757, 0.025478290393948555, 0.017368633300065994, 0.017204908654093742, 0.0034779789857566357, -0.014490230940282345, 0.056394416838884354, 0.01520712673664093, -0.012305792421102524, 0.008423364721238613, ...
BatuhanYilmaz/dummy
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:03:57Z
--- license: openrail++ tags: - stable-diffusion - text-to-image duplicated_from: stabilityai/stable-diffusion-2 --- # Stable Diffusion v2 Model Card This model card focuses on the model associated with the Stable Diffusion v2 model, available [here](https://github.com/Stability-AI/stablediffusion). This `stable-diff...
[ -0.0034934349823743105, -0.010377847589552402, -0.016292765736579895, 0.03528333827853203, 0.043526820838451385, 0.0005140792927704751, 0.011768553406000137, -0.008632130920886993, -0.033913157880306244, 0.04693043977022171, 0.0032815849408507347, -0.0034092331770807505, 0.01901642605662346,...
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr
[]
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: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.022576989606022835, -0.013280422426760197, 0.010932281613349915, 0.03109728731215, 0.023047618567943573, 0.02386161871254444, 0.005564088001847267, -0.007685074117034674, -0.006195284891873598, 0.06272077560424805, -0.0002898935053963214, -0.014689763076603413, 0.024876728653907776, 0.0...
BatuhanYilmaz/mlm-finetuned-imdb
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail++ tags: - stable-diffusion - text-to-image pinned: true duplicated_from: stabilityai/stable-diffusion-2-1 --- # Stable Diffusion v2-1 Model Card This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available [here](https://github.com/Stability-AI/stabledi...
[ -0.002434896305203438, -0.009627743624150753, -0.004096117801964283, 0.03446858003735542, 0.043821223080158234, 0.004389295820146799, 0.014294148422777653, -0.014638942666351795, -0.031264372169971466, 0.049770940095186234, 0.01256493665277958, -0.0036618493031710386, 0.016744673252105713, ...
BatuhanYilmaz/mt5-small-finetuned-amazonbooks-en-es
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail++ tags: - stable-diffusion - text-to-image duplicated_from: stabilityai/stable-diffusion-2-1-base --- # Stable Diffusion v2-1-base Model Card This model card focuses on the model associated with the Stable Diffusion v2-1-base model. This `stable-diffusion-2-1-base` model fine-tunes [stable-diffu...
[ 0.0008787852711975574, -0.01057614665478468, -0.005851675756275654, 0.038337673991918564, 0.04807522892951965, 0.0016244492726400495, 0.011466577649116516, -0.015827028080821037, -0.02514646202325821, 0.048125527799129486, 0.013887238688766956, -0.008771717548370361, 0.01601092889904976, 0...
Baybars/debateGPT
[]
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: T5_large_hierarchy8_256_512 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_larg...
[ -0.04425619915127754, -0.011264936067163944, -0.007517289370298386, 0.032545920461416245, 0.025935117155313492, 0.00693493289873004, -0.019872400909662247, -0.01798587292432785, -0.025558337569236755, 0.04425528645515442, 0.04006224498152733, -0.023814477026462555, 0.0065026795491576195, 0...
Baybars/wav2vec2-xls-r-1b-turkish
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
13
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.0453849621117115, -0.0011222435859963298, -0.022044243291020393, 0.032371412962675095, 0.043870341032743454, 0.017956051975488663, -0.018464943394064903, -0.030748192220926285, -0.03739535063505173, 0.06937319785356522, 0.02193072810769081, 0.0026537387166172266, 0.015218151733279228, 0...
Bee-Garbs/DialoGPT-real-cartman-small
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2023-04-27T08:20:22Z
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: arquivo-layoutxml-model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # arquiv...
[ -0.020079778507351875, -0.0018408719915896654, -0.002998798154294491, 0.041817426681518555, 0.03813452646136284, 0.019008949398994446, -0.016188865527510643, -0.00907892920076847, -0.026867814362049103, 0.061901532113552094, 0.017718585208058357, -0.04429946094751358, 0.0012897892156615853, ...
Beelow/model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:21:20Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distill-bert-retrieve-bible-book results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # di...
[ -0.01492997631430626, -0.0035649193450808525, -0.031267113983631134, 0.0496634915471077, 0.04385075718164444, 0.02694493904709816, -0.015074344351887703, -0.02485322766005993, -0.05185551196336746, 0.058783188462257385, 0.03960781171917915, 0.009643729776144028, 0.013649786822497845, 0.035...
Bella4322/Sarah
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:25:01Z
--- license: apache-2.0 datasets: - kz-transformers/multidomain-kazakh-dataset language: - kk pipeline_tag: fill-mask library_name: transformers --- # Kaz-RoBERTa (base-sized model) ## Model description ## Usage You can use this model directly with a pipeline for masked language modeling: ```python >>> from tran...
[ -0.030597001314163208, -0.03148864582180977, 0.010682322084903717, 0.04188871756196022, 0.047984082251787186, 0.03661254420876503, -0.004086867440491915, -0.0018737722421064973, -0.03350755572319031, 0.074969582259655, 0.021878773346543312, -0.007014114409685135, 0.0023210409563034773, 0.0...
Benicio/t5-small-finetuned-en-to-ru
[ "pytorch", "tensorboard", "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...
50
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
Berzemu/Coco
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.040083643049001694, 0.015798231586813927, 0.014374309219419956, 0.01733255572617054, 0.048999689519405365, -0.013564616441726685, -0.020009562373161316, -0.023658975958824158, -0.01779877208173275, 0.06785575300455093, 0.03529627248644829, -0.0080290911719203, 0.011345782317221165, -0.0...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:55:03Z
--- metrics: - bleu widget: - text: "this is a good test." - text: "this is a bad test." ---
[ 0.0013786394847556949, -0.007834761403501034, -0.004754199180752039, 0.011792699806392193, 0.03983066976070404, 0.02744213119149208, 0.00014551302592735738, 0.005654648412019014, -0.029340438544750214, 0.036802805960178375, -0.0036177311558276415, 0.00294809159822762, 0.022211173549294472, ...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:55:38Z
--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: slurp-intent_baseline-xlm_r-en results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this co...
[ -0.025719307363033295, -0.00887698121368885, -0.017839528620243073, 0.046786125749349594, 0.03810664266347885, 0.021150339394807816, -0.005998009350150824, -0.013298781588673592, -0.029488883912563324, 0.06571262329816818, 0.0424254834651947, -0.03302958235144615, 0.011656681075692177, 0.0...
Bharathdamu/wav2vec2-model-hindibhasha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-27T08:58:26Z
This is a fine-tuning of the LLaMa7B model in the style of the Alpaca dataset and setting but using LoRa. For details of the data and hyper params - https://crfm.stanford.edu/2023/03/13/alpaca.html This repo only contains the LoRa weights and not the original LLaMa weights which are research only.
[ -0.0623263381421566, 0.0009754708735272288, -0.004722086247056723, 0.028232727199792862, 0.04063010215759277, 0.006340669002383947, 0.0003129280812572688, 0.0008961762068793178, -0.008051268756389618, 0.06597722321748734, 0.03791622072458267, -0.0493447408080101, 0.04982750862836838, 0.020...
Bhumika/roberta-base-finetuned-sst2
[ "pytorch", "tensorboard", "roberta", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "model-index" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
85
2023-04-27T09:02:25Z
--- license: mit language: - ru - en library_name: transformers tags: - mbart - mbart-50 pipeline_tag: text2text-generation --- This is a smaller version of the [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) with only Russian and English embeddings left. sentencepiece vocabulary was shrinke...
[ -0.03324708715081215, -0.021598346531391144, -0.014594275504350662, 0.047995250672101974, 0.033255353569984436, 0.03742044046521187, -0.031879834830760956, -0.0008500592666678131, -0.04197388142347336, 0.06032388284802437, 0.045584145933389664, -0.018219325691461563, 0.012582768686115742, ...