modelId
stringlengths
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81
tags
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pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
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59.7M
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timestamp[ns, tz=UTC]
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Anonymreign/savagebeta
[]
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
2023-04-14T03:36:08Z
Quantized using https://github.com/0cc4m/GPTQ-for-LLaMa ; CUDA_VISIBLE_DEVICES=0,1 python gptneox.py /hmem/Ais/databricks_dolly-v2-12b/ c4 --wbits 4 --groupsize 128 --save_safetensors dolly_v2-12b-GPTQ-4bit-128g.safetensors --nsamples 1 Edit: Thanks to @clxy and @NePe for figuring out how to run this. Modify llama_inf...
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Antony/mint_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: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### riobiagirlnew Dreambooth model trained by Fred99774 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
[ -0.035282570868730545, -0.0184011347591877, -0.024072755128145218, 0.03263571113348007, 0.02681225724518299, 0.014281705021858215, 0.007048511877655983, -0.0014492927584797144, -0.015981677919626236, 0.03956092521548271, 0.029965458437800407, 0.005464168731123209, -0.024689415469765663, 0....
Anubhav23/IndianlegalBert
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_...
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Anubhav23/indianlegal
[]
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
Perplexity: 18.47. Deleting this soon. NOTE: PLEASE DO NOT USE THIS MODEL. THIS IS ONLY FOR EXPERIMENTS.
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Apisate/DialoGPT-small-jordan
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-taxi results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
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Aplinxy9plin/toxic-detection-rus
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-4.0 library_name: ultralytics pipeline_tag: object-detection inference: false tags: - roboflow - hand_gesture --- # Yolov8x Tuned to Hand Gestures Yolo v8x Finetuned on the [hand gestures roboflow dataset.](https://universe.roboflow.com/hand-gestures-recognition/hand-gestures-dataset) ## Infe...
[ -0.018620146438479424, -0.021079251542687416, 0.013598078861832619, 0.016730740666389465, 0.04428735375404358, 0.02038196660578251, -0.02035326324403286, -0.012996119447052479, -0.020592408254742622, 0.045570798218250275, 0.027283499017357826, -0.011769755743443966, 0.007642196025699377, 0...
ArBert/albert-base-v2-finetuned-ner-gmm-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
Access to model Axat04/ainft is restricted and you are not in the authorized list. Visit https://huggingface.co/Axat04/ainft to ask for access.
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ArBert/roberta-base-finetuned-ner-kmeans-twitter
[ "pytorch", "tensorboard", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "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_...
10
null
--- language: en license: apache-2.0 library_name: pytorch tags: - deep-reinforcement-learning - reinforcement-learning - DI-engine - LunarLander-v2 benchmark_name: OpenAI/Gym/Box2d task_name: LunarLander-v2 pipeline_tag: reinforcement-learning model-index: - name: SAC results: - task: type: reinforcement-lea...
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Aran/DialoGPT-medium-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: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metrics:...
[ -0.017141906544566154, -0.01636364497244358, -0.001896799891255796, 0.03146975859999657, 0.04935722053050995, -0.01744954101741314, -0.012030028738081455, -0.008607189171016216, -0.05659046396613121, 0.054403528571128845, 0.0008051284239627421, -0.0066137006506323814, 0.025562815368175507, ...
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
null
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base tem...
[ -0.03477105498313904, -0.01037435233592987, 0.00011377478222129866, 0.015253852121531963, 0.02282647229731083, 0.044932618737220764, -0.020595461130142212, -0.026462821289896965, -0.028890972957015038, 0.04969323053956032, 0.022915950044989586, -0.006789288017898798, 0.03135347738862038, 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: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: resnet-101-finetuned_resnet101-sgd-optimizer-autotags results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolde...
[ 0.013722150586545467, -0.007002650294452906, -0.0136488052085042, 0.023709353059530258, 0.03382233530282974, 0.0073881507851183414, -0.007865898311138153, -0.00046295716310851276, -0.013072865083813667, 0.051213230937719345, 0.011967262253165245, -0.008870398625731468, 0.013599288649857044, ...
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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.42 +/- 2.75...
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ArenaGrenade/char-cnn
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-14T05:50:45Z
--- tags: - conversational --- # Walter White DailoGPT Model
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Arina/Erine
[]
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: results 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. --> # results This model is a fine-tuned version of ...
[ -0.03570770472288132, -0.007261468563228846, -0.0072137718088924885, 0.0405292734503746, 0.04182986170053482, 0.01412336528301239, -0.007268175948411226, -0.019190646708011627, -0.020012998953461647, 0.05246925726532936, 0.03488248214125633, -0.009727658703923225, 0.010225451551377773, 0.0...
Arpita/opus-mt-en-ro-finetuned-syn-to-react
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: a photo of sks dog tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - Chenhsing/output These are LoRA adaption weights for runwayml/stable-d...
[ -0.033677224069833755, -0.014376310631632805, -0.024969816207885742, 0.028220808133482933, 0.039430178701877594, 0.002437807386741042, -0.01783323474228382, 0.0006802838761359453, -0.025370286777615547, 0.0714273750782013, 0.012781660072505474, -0.03503762185573578, -0.024614235386252403, ...
ArthurcJP/DialoGPT-small-YODA
[]
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: - text-to-image - stable-diffusion --- ### Parailaragirlnew Dreambooth model trained by Fred99774 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 ...
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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: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.de metrics: - name:...
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AshiNLP/Bert_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: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: a photo of caibao dog tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - Chenhsing/caibao_timesquare These are LoRA adaption weights for run...
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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
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...
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Augustvember/WokkaBot9
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en metrics: - accuracy - AUC ROC - precision - recall tags: - biology - chemistry - therapeutic science - drug design - drug development - therapeutics library_name: tdc license: bsd-2-clause --- ## Dataset description As a membrane separating circulating blood and brain extracellular fluid, the blood...
[ -0.044652748852968216, -0.010649025440216064, -0.00011780778731917962, 0.024716874584555626, 0.0345415323972702, 0.03117554634809494, -0.02026568166911602, -0.004852876532822847, 0.0022312619257718325, 0.03189359977841377, 0.035584304481744766, 0.02415359765291214, 0.0041051446460187435, 0...
Augustvember/wokka5
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- datasets: - wikiann language: - fr - pt - ja - zh metrics: - accuracy pipeline_tag: token-classification ---
[ -0.017959758639335632, -0.021929042413830757, 0.01049351878464222, 0.01427482720464468, 0.05851586163043976, 0.0045329206623137, -0.013377665542066097, 0.018772611394524574, -0.04240284487605095, 0.061532825231552124, 0.039335522800683975, -0.005116218701004982, -0.0020733962301164865, 0.0...
Ayham/albert_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: flan-t5-large-da-multiwoz2.0_80-loss-ep50 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...
[ -0.03882964700460434, -0.009563104249536991, -0.0010120386723428965, 0.04254226014018059, 0.03424246981739998, -0.015645960345864296, -0.017510203644633293, -0.021172575652599335, -0.012983945198357105, 0.03324147313833237, 0.026406770572066307, -0.020709330216050148, -0.0005468045128509402,...
Ayham/bert_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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: flan-t5-large-da-multiwoz2.1_80-loss-ep50 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...
[ -0.035610124468803406, -0.008056367747485638, -0.001290034269914031, 0.04342568665742874, 0.034940849989652634, -0.016165386885404587, -0.017828255891799927, -0.019616197794675827, -0.015221298672258854, 0.034464601427316666, 0.02282700501382351, -0.024597104638814926, 0.0007246514433063567,...
Ayham/bert_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- language: en license: apache-2.0 library_name: pytorch tags: - deep-reinforcement-learning - reinforcement-learning - DI-engine - LunarLander-v2 benchmark_name: OpenAI/Gym/Box2d task_name: LunarLander-v2 pipeline_tag: reinforcement-learning model-index: - name: A2C results: - task: type: reinforcement-lea...
[ -0.035906679928302765, 0.008900278247892857, 0.010108248330652714, 0.01393969263881445, 0.04108162224292755, -0.020223328843712807, 0.001204883330501616, -0.03213563933968544, -0.02591642364859581, 0.06139686331152916, 0.02433338575065136, 0.0046443515457212925, -0.0013013811549171805, 0.0...
Ayham/robertagpt2_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: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola ...
[ -0.016756346449255943, 0.012973790057003498, -0.019460167735815048, 0.04231629893183708, 0.0693565234541893, 0.022293629124760628, -0.028973212465643883, -0.02785438857972622, -0.04522920399904251, 0.06058470532298088, 0.03299273923039436, -0.010787133127450943, 0.021509898826479912, 0.034...
Ayham/robertagpt2_xsum4
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- language: en license: apache-2.0 library_name: pytorch tags: - deep-reinforcement-learning - reinforcement-learning - DI-engine - Hopper-v3 benchmark_name: OpenAI/Gym/MuJoCo task_name: Hopper-v3 pipeline_tag: reinforcement-learning model-index: - name: SAC results: - task: type: reinforcement-learning ...
[ -0.036585401743650436, 0.0013279158156365156, 0.002023879438638687, 0.023120585829019547, 0.034103091806173325, -0.0031966681126505136, -0.0033824555575847626, -0.01817457564175129, -0.0369146391749382, 0.060520801693201065, 0.022772105410695076, 0.006527908146381378, 0.014523367397487164, ...
Ayham/xlnet_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
13
2023-04-14T08:24:58Z
--- license: other tags: - vision - image-segmentation - generated_from_trainer model-index: - name: segformer-b1-solarModuleAnomaly-v0.1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then r...
[ -0.04444816708564758, -0.0150595149025321, -0.020870564505457878, 0.014573012478649616, 0.04496961086988449, 0.013938854448497295, -0.028185129165649414, -0.021868325769901276, -0.034218110144138336, 0.05402282252907753, 0.03850514441728592, 0.0037875704001635313, -0.008374875411391258, 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
2023-04-14T08:35:31Z
--- language: - zh - en tags: - glm - chatglm - thudm --- # ChatGLM-6B-INT8 <p align="center"> 👋 Join our <a href="https://join.slack.com/t/chatglm/shared_invite/zt-1udqapmrr-ocT1DS_mxWe6dDY8ahRWzg" target="_blank">Slack</a> and <a href="https://github.com/THUDM/ChatGLM-6B/blob/main/resources/WECHAT.md" target="_b...
[ -0.02860485203564167, -0.021265659481287003, -0.0043674735352396965, 0.03649623692035675, 0.05040038377046585, 0.021007537841796875, -0.02418407052755356, 0.006045426707714796, -0.02587556466460228, 0.04766140505671501, 0.026065899059176445, -0.013633468188345432, 0.005755420308560133, 0.0...
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cnn_dailymail metrics: - rouge model-index: - name: cnn_news_summary_model_new_vs results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: cnn_dailymail type: cnn_dailymail ...
[ -0.022280575707554817, -0.017756804823875427, -0.012038427405059338, 0.050842057913541794, 0.03805387765169144, 0.0009381593554280698, -0.023149659857153893, -0.03827550262212753, -0.02605428546667099, 0.05940689519047737, 0.010202236473560333, -0.014927602373063564, -0.008297087624669075, ...
Ayumi/Jovana
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- metrics: - accuracy --- --- license: apache-2.0 language: am * **DeepSpeed-RLHF**系统训练:DeepSpeed-HE 能够在 RLHF 中无缝地在推理和训练模式之间切换,使其能够利用来自 **DeepSpeed-Inference** 的各种优化,如张量并行计算和高性能CUDA算子进行语言生成,同时对训练部分还能从 **ZeRO- 和 LoRA-based** 内存优化策略中受益。DeepSpeed-HE 还能够自动在 RLHF 的不同阶段进行智能的内存管理和数据缓存。 * Train Data:(English)--data_path Dah...
[ -0.007821759209036827, -0.00887006800621748, 0.0002710432163439691, 0.022516293451189995, 0.03900965303182602, -0.010391373187303543, -0.014914124272763729, 0.0009571138652972877, -0.04076109081506729, 0.039569392800331116, 0.02044161781668663, -0.015257805585861206, 0.006839332636445761, ...
Azaghast/DistilBERT-SCP-Class-Classification
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
42
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilgpt2-finetuned-wikitext2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # dist...
[ -0.01550363004207611, -0.019014229997992516, -0.018081268295645714, 0.019289053976535797, 0.04097572714090347, 0.012369757518172264, -0.01055739913135767, -0.004050121642649174, -0.045232467353343964, 0.06401819735765457, 0.023696087300777435, -0.011195797473192215, 0.009331452660262585, 0...
Azaghast/GPT2-SCP-Descriptions
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
Access to model Xinhhd/autotrain-zhongxin-contest-49402119333 is restricted and you are not in the authorized list. Visit https://huggingface.co/Xinhhd/autotrain-zhongxin-contest-49402119333 to ask for access.
[ -0.055311813950538635, -0.009705635719001293, -0.015553832054138184, 0.0199736338108778, 0.041132085025310516, 0.017969880253076553, -0.013489410281181335, -0.01815434731543064, -0.051680244505405426, 0.04315736144781113, 0.02973252907395363, 0.003791086608543992, 0.0031667661387473345, 0....
Azaghast/GPT2-SCP-Miscellaneous
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: openrail tags: - anime - style - merge - stable diffusion --- # Ritium is a universal anime model. The goals of working on it were as follows: - To achieve a good result without using the `hires fix'. - To make the model universal, not tied to a specific style. - Avoid using a lot of quality tags, such as...
[ 0.0108265969902277, -0.016060777008533478, -0.009400925599038601, 0.027607815340161324, 0.038987334817647934, 0.03374205529689789, -0.021221274510025978, -0.010267400182783604, -0.03226744756102562, 0.04635271057486534, -0.022039316594600677, -0.002061497187241912, 0.010576143860816956, 0....
Azura/data
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - rouge model-index: - name: pegasus_tweet_sum results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # pegasus_tweet_sum T...
[ -0.01933971233665943, -0.022206898778676987, -0.0119884442538023, 0.030254410579800606, 0.050083376467227936, 0.014139387756586075, -0.022479809820652008, -0.0263908039778471, -0.04213849455118179, 0.05010534077882767, 0.03915240243077278, -0.023067479953169823, -0.0031805364415049553, 0.0...
Azuris/DialoGPT-medium-envy
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class ---
[ -0.016425110399723053, -0.01700763590633869, 0.0002565182512626052, 0.029942693188786507, 0.036973368376493454, 0.016752539202570915, 0.021135477349162102, 0.0077821495942771435, -0.009668783284723759, 0.04898717626929283, 0.019718244671821594, 0.015056940726935863, 0.021838519722223282, 0...
Azuris/DialoGPT-medium-senorita
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: CartPole-v1-Reinforce results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029125157743692398, 0.01815849542617798, 0.0035809010732918978, 0.00995014701038599, 0.045586973428726196, -0.018552370369434357, -0.02326723001897335, -0.015062677673995495, -0.02921939454972744, 0.08453192561864853, 0.016967739909887314, -0.006521576549857855, 0.014627865515649319, 0....
Azuris/DialoGPT-small-envy
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-04-14T09:02:44Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilroberta-base-finetuned-wikitext2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.02663545310497284, -0.01436439249664545, -0.009976967237889767, 0.018752990290522575, 0.039496563374996185, 0.025421934202313423, -0.010941067710518837, -0.01722804270684719, -0.04366278275847435, 0.05692722648382187, 0.038651928305625916, -0.02533058635890484, -0.0027039276901632547, 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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: PixelCopter-Reinforce results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04096440225839615, 0.01485754270106554, 0.01436726562678814, 0.01936478354036808, 0.05194065719842911, -0.01297580823302269, -0.021645793691277504, -0.025311775505542755, -0.01642070896923542, 0.06714776158332825, 0.03866998478770256, -0.006130817346274853, 0.010754519142210484, -0.0083...
BSC-LT/roberta-base-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
null
--- license: openrail --- # caulkinum Series Checkpoint (caulkinumシリーズ チェックポイント) *It is also available at CIVITAI (CIVITAIにも置いてあります) <https://civitai.com/user/489> ※ 日本語での説明文は後半にあります ![](./img/00054-1630068329-caulkinumV2_ARCT%20%5B36f5431e82%5D-DPM%2B%2B%202M%20Karras.png) Sample - 作例 (caulkinumV2_ARCT) ...
[ -0.032588254660367966, -0.03130347654223442, 0.008609475567936897, 0.028532469645142555, 0.06754344701766968, 0.015868088230490685, 0.004116379655897617, -0.0076436931267380714, -0.02252884954214096, 0.05613551288843155, 0.045261040329933167, 0.008938922546803951, 0.018171044066548347, 0.0...
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: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: EElayoutlmv3_rvl-cdip_single_10_2023-04-14 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, ...
[ -0.020960945636034012, 0.01113214809447527, -0.003455240512266755, 0.02165367640554905, 0.042129065841436386, 0.011042581871151924, -0.014996018260717392, -0.01192199345678091, -0.030939333140850067, 0.04992305859923363, 0.02017822302877903, -0.037143509835004807, 0.004189084284007549, 0.0...
BeIR/query-gen-msmarco-t5-base-v1
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
1,816
null
--- license: cc-by-nc-nd-4.0 language: - en pipeline_tag: text-to-image tags: - stable-diffusion - text-to-image - artistic --- The Druuna-inspired LoRa been trained on the beautiful and unique art style of the Druuna graphic novel. It is capable of producing stunning images that capture the sensual and erotic atmosph...
[ 0.0021077014971524477, -0.03421160951256752, -0.011641197837889194, 0.056836530566215515, 0.08114317059516907, -0.007449435070157051, 0.009071387350559235, -0.005593643523752689, -0.023080598562955856, 0.06152511015534401, 0.043543171137571335, -0.015072998590767384, 0.00941017922013998, 0...
Bhuvana/t5-base-spellchecker
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
93
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: dhanunjaya/GPT-2-finetuned-abstracts 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. --> ...
[ -0.032526955008506775, -0.015922902151942253, 0.0055333892814815044, 0.015869684517383575, 0.04210682213306427, 0.02159108594059944, -0.007271265145391226, 0.003918453585356474, -0.03686505928635597, 0.0536273717880249, 0.023740071803331375, -0.029280731454491615, 0.009017901495099068, 0.0...
BigSalmon/GPTHeHe
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2023-04-14T10:59:06Z
--- tags: - autotrain - text-classification language: - de widget: - text: "I love AutoTrain 🤗" datasets: - BIDEQUITY/autotrain-data-bidequity-page-classifier co2_eq_emissions: emissions: 1.316894718008702 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 49442119390 - CO2 ...
[ -0.012641516514122486, -0.026615064591169357, -0.006379018072038889, 0.022929763421416283, 0.027509665116667747, 0.041149530559778214, -0.024537445977330208, -0.009138716384768486, -0.0408795103430748, 0.07921598106622696, 0.015962695702910423, 0.018726149573922157, 0.005857167299836874, 0...
BigSalmon/GPTNeo350MInformalToFormalLincoln
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
8
null
--- tags: - autotrain - summarization language: - en widget: - text: "I love AutoTrain 🤗" datasets: - ishajo/autotrain-data-beproj_meeting_summarization_usingt5 co2_eq_emissions: emissions: 1.917540145828255 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 49444119396 - CO2 Emissions (...
[ -0.014773956499993801, -0.01715858094394207, 0.011009089648723602, 0.025953073054552078, 0.032784074544906616, 0.00920049473643303, -0.03448757156729698, -0.019252650439739227, -0.046312201768159866, 0.08017373085021973, 0.019310738891363144, 0.026567667722702026, 0.018165819346904755, 0.0...
BigSalmon/MrLincoln10
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2023-04-14T11:37:27Z
--- inference: false language: - bg license: mit tags: - torch --- # LLaMA-7B This repo contains a low-rank adapter for LLaMA-7b trained on Bulgarian dataset. This model was introduced in [this paper](https://arxiv.org/abs/2106.09685). ## Model description The training data is private Bulgarian dataset. ## Inte...
[ -0.03201480954885483, -0.0010260652052238584, 0.00898086465895176, 0.05990957096219063, 0.028114361688494682, 0.006119097582995892, -0.01169281080365181, 0.0050532459281384945, -0.009442463517189026, 0.07334110885858536, 0.04013756662607193, -0.04159272462129593, 0.024867739528417587, 0.03...
BigSalmon/MrLincoln6
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- datasets: - GreeneryScenery/SheepsDiffusionNet - poloclub/diffusiondb pipeline_tag: image-to-image tags: - art - ControlNet --- # V5 🤗 Try it [here](https://replicate.com/greeneryscenery/sheeps-controlnet-sketch-2-image) <img src = 'https://huggingface.co/GreeneryScenery/SheepsControlV5/resolve/main/overview.png...
[ -0.0021892874501645565, -0.00891134887933731, 0.02085145376622677, -0.0020955426152795553, 0.058030880987644196, -0.015507364645600319, -0.014261052943766117, -0.003984642215073109, -0.01974445953965187, 0.054447613656520844, 0.016005540266633034, -0.0030397167429327965, 0.01129026710987091,...
BigSalmon/NEO125InformalToFormalLincoln
[ "pytorch", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
8
null
--- datasets: - IlyaGusev/ru_turbo_alpaca - IlyaGusev/ru_turbo_saiga - IlyaGusev/oasst1_ru_main_branch - IlyaGusev/ru_sharegpt_cleaned language: - ru pipeline_tag: conversational license: cc-by-4.0 --- # Saiga 13B, Russian LLaMA-based chatbot Based on [LLaMA 13B](https://huggingface.co/huggyllama/llama-13b). * This ...
[ -0.023612426593899727, -0.014486759901046753, -0.010794959031045437, 0.044160861521959305, 0.07010036706924438, 0.02533470094203949, -0.02096526324748993, -0.0035315384157001972, -0.03961532935500145, 0.062102243304252625, 0.05309572070837021, -0.02365184761583805, 0.01676004007458687, 0.0...
BigSalmon/ParaphraseParentheses2.0
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- 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 ...
[ -0.039697203785181046, -0.016795331612229347, -0.015193842351436615, 0.03787432983517647, 0.04789089784026146, -0.0037404033355414867, -0.013840111903846264, -0.02517601288855076, -0.031182540580630302, 0.05312206596136093, 0.020905958488583565, -0.032899364829063416, 0.019521867856383324, ...
BigSalmon/PhraseBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
10
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.008151175454258919, 0.008371462114155293, -0.0017167002661153674, 0.03183645382523537, 0.035831108689308167, 0.013866529799997807, -0.02424193173646927, -0.031136533245444298, -0.040569521486759186, 0.04906533658504486, 0.02047503925859928, -0.027044767513871193, 0.024076979607343674, 0...
BigSalmon/T52
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: polish_transliterator_T5 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. ...
[ -0.008623509667813778, -0.01970425620675087, -0.0002394390758126974, 0.03879926726222038, 0.04249801114201546, -0.009190908633172512, -0.017298216000199318, -0.007369433995336294, -0.05945349484682083, 0.05743894726037979, 0.012856514193117619, -0.038312528282403946, -0.012522955425083637, ...
BigSalmon/TS3
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible", "has_space" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
7
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: PolicyGradientPixelcopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0...
[ -0.033656761050224304, 0.013962235301733017, 0.012417741119861603, 0.028311552479863167, 0.04785589128732681, -0.009108191356062889, -0.016932310536503792, -0.029215505346655846, -0.01563687063753605, 0.062002141028642654, 0.029011869803071022, -0.0127559257671237, 0.01158034335821867, -0....
BigSalmon/prepositions
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: resnet-152-finetuned_resnet152-adam-optimizer5e-4-autotags results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: image...
[ -0.0017838383791968226, -0.003980039618909359, -0.014992782846093178, 0.025903185829520226, 0.03392268344759941, 0.008179906755685806, -0.013029221445322037, -0.01660614274442196, -0.001235787058249116, 0.056022100150585175, 0.020310094580054283, -0.0033589438535273075, 0.0001949721336131915...
BigTooth/DialoGPT-Megumin
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.006260884925723076, 0.004097343888133764, -0.016372572630643845, 0.016066154465079308, 0.05846700444817543, -0.028393153101205826, 0.006977958604693413, -0.034384895116090775, -0.02778979018330574, 0.0677688717842102, 0.02709529921412468, -0.029248539358377457, 0.00035729299997910857, 0...
BigTooth/DialoGPT-small-tohru
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
Access to model UnipaPolitoUnimore/covid_mild_diffuser is restricted and you are not in the authorized list. Visit https://huggingface.co/UnipaPolitoUnimore/covid_mild_diffuser to ask for access.
[ -0.03142164275050163, 0.0016788271022960544, -0.015425737015902996, -0.015204018913209438, 0.04710737243294716, 0.006775591056793928, -0.02066780999302864, 0.00023866110132075846, -0.02623703144490719, 0.046469707041978836, 0.03726710006594658, 0.004676777869462967, 0.01095649041235447, 0....
Blerrrry/Kkk
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cppe-5 model-index: - name: detr-resnet-50_finetuned_cppe5 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...
[ -0.016188379377126694, 0.001280899392440915, -0.004920699167996645, 0.004561004228889942, 0.03945653885602951, 0.026269985362887383, -0.03297298029065132, -0.013195802457630634, -0.04616757482290268, 0.051576144993305206, 0.04093344137072563, -0.012369646690785885, 0.020867304876446724, 0....
BonjinKim/dst_kor_bert
[ "pytorch", "jax", "bert", "pretraining", "transformers" ]
null
{ "architectures": [ "BertForPreTraining" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
2023-04-14T12:58:50Z
--- license: apache-2.0 --- # 2023/4/14 - The new models trained for short titles (uppercase). - Update vocab/AIO_label.vocab - Update src_python/AIONER/postprocessing.py - Train files: Train_tmvar1-AIO-0414.conll, Train_tmvar3-AIO-0414.conll
[ -0.03541779890656471, -0.0016989345895126462, -0.0066229840740561485, 0.05648759379982948, 0.05904679000377655, -0.006022777874022722, 0.011307812295854092, -0.007212186232209206, -0.020192187279462814, 0.028582623228430748, 0.013331740163266659, 0.028034161776304245, 0.026980452239513397, ...
Brykee/DialoGPT-medium-Morty
[ "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
2023-04-14T13:36:05Z
--- 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 - lshenae/pokemon-lora These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The we...
[ -0.031958382576704025, -0.013224215246737003, -0.02405267395079136, 0.02357618510723114, 0.047371722757816315, -0.016162734478712082, 0.00934202503412962, -0.016551492735743523, -0.008453580550849438, 0.06997501105070114, 0.026525821536779404, -0.03008132614195347, 0.007214770652353764, 0....
BumBelDumBel/ZORK_AI_SCIFI
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer" ]
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...
14
2023-04-14T13:44:01Z
--- license: creativeml-openrail-m language: - en tags: - Stable Diffusion - text-to-image --- <img src=https://huggingface.co/rim0/dreambox-mix-P/resolve/main/images/01158-2534408105.png> - [V2.0examples](#v20-examples) - [V2.1examples](#v21-examples) Updates/2023.5.7 Uploaded dreamboxmix-P-v2.0-vae # Updates...
[ -0.002753568347543478, -0.015409398823976517, -0.008334591053426266, 0.018791114911437035, 0.05620839446783066, 0.017915047705173492, -0.0001266531617147848, -0.003879512893036008, -0.03363542631268501, 0.053761936724185944, 0.00668701995164156, -0.00055912253446877, -0.025599151849746704, ...
BunakovD/sd
[]
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 - precision - recall model-index: - name: distilbert-base-uncased-PINA-dfnew-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.015092000365257263, -0.0030021348502486944, -0.017332633957266808, 0.052556347101926804, 0.04435797408223152, 0.014746526256203651, 0.001689310884103179, -0.01823616586625576, -0.030508646741509438, 0.06435303390026093, 0.006580202374607325, -0.04243011400103569, 0.02012581191956997, 0....
CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
42
2023-04-14T13:52:55Z
--- license: mit tags: - generated_from_keras_callback model-index: - name: CSerdar014191/gpt2-medium_test06_tuner 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. --> # CS...
[ -0.03572946786880493, -0.02080470696091652, 0.00799543410539627, 0.03204721584916115, 0.03509218990802765, 0.011759464628994465, -0.005431011319160461, -0.0037965266965329647, -0.039966050535440445, 0.05519631505012512, 0.008785136044025421, -0.02243194915354252, 0.02296890877187252, 0.043...
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
73
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
CAMeL-Lab/bert-base-arabic-camelbert-ca
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
580
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 ...
[ -0.04534395784139633, -0.0010125425178557634, -0.021579239517450333, 0.03248842433094978, 0.043630439788103104, 0.018108947202563286, -0.017857706174254417, -0.030672123655676842, -0.03747457265853882, 0.06924425810575485, 0.021767809987068176, 0.002810878911986947, 0.01533508487045765, 0....
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
32
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: resnet-152-finetuned_resnet152-adam-optimizere-2-autotags results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagef...
[ -0.000028474403734435327, -0.00638055382296443, -0.009157529100775719, 0.023663189262151718, 0.035063765943050385, 0.0053085871040821075, -0.0076092323288321495, -0.015550301410257816, -0.0018865041201934218, 0.057539042085409164, 0.024447398260235786, -0.0004538861976470798, -0.006529060192...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
34
2023-04-14T14:11:32Z
--- license: creativeml-openrail-m language: - en tags: - anime - art - stable diffusion pipeline_tag: text-to-image duplicated_from: Meina/MeinaMix --- MeinaMix Objective is to be able to do good art with little prompting. I created a discord server where you can post images that you generated, discuss prompt and/or...
[ -0.006204972974956036, -0.024043016135692596, -0.0002339628990739584, 0.03518737852573395, 0.04390168562531471, 0.020095285028219223, 0.009652825072407722, 0.0022458725143224, -0.028677113354206085, 0.060857344418764114, 0.046358779072761536, -0.000218678149394691, -0.013413711450994015, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
null
--- license: creativeml-openrail-m language: - en pipeline_tag: text-to-image tags: - meina - anime - pastel - meinapastel - meinamix - stable diffusion - art duplicated_from: Meina/MeinaPastel --- MeinaPastel aims to make illustrations with a 2d feel to them with good light, shadows and details, making pastel or colo...
[ -0.008860111236572266, -0.014039273373782635, 0.0008836670313030481, 0.021235579624772072, 0.05808981880545616, 0.019448909908533096, 0.019717302173376083, 0.006739981472492218, -0.027102436870336533, 0.07467193901538849, 0.043501775711774826, -0.010631905868649483, 0.01851079612970352, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1,860
2023-04-14T14:12:12Z
--- license: creativeml-openrail-m duplicated_from: Meina/MeinaHentai ---
[ -0.014310899190604687, -0.014883093535900116, -0.023768911138176918, 0.01435684785246849, 0.04242132231593132, 0.016949040815234184, -0.000408745720051229, 0.0008506883750669658, -0.02574765309691429, 0.038864750415086746, 0.037537142634391785, 0.013958103954792023, 0.041568294167518616, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
71
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.009827830828726292, 0.010448730550706387, -0.02825790084898472, 0.03660288453102112, 0.0615055188536644, 0.03235447034239769, -0.022366877645254135, -0.03620266541838646, -0.032905902713537216, 0.05710536241531372, 0.018616141751408577, -0.045348476618528366, 0.03478012979030609, 0.0448...
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
229
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Humberto/MedicalArticlesClassificationModel 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 commen...
[ -0.016513396054506302, -0.017194243147969246, -0.011384207755327225, 0.030404193326830864, 0.03982558846473694, 0.01636059582233429, -0.01896589621901512, -0.027460096403956413, -0.011415321379899979, 0.04972771182656288, 0.014240738935768604, -0.02611553482711315, 0.012109189294278622, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
2023-04-14T14:33:34Z
--- license: mit tags: - generated_from_trainer datasets: - ncbi_disease metrics: - precision - recall - f1 - accuracy model-index: - name: BIO_GPT_NER_FINETUNED_C results: - task: name: Token Classification type: token-classification dataset: name: ncbi_disease type: ncbi_disease ...
[ -0.009685244411230087, -0.009679775685071945, 0.0021548327058553696, 0.00047866598470136523, 0.02480304427444935, 0.020464101806282997, -0.017913777381181717, -0.028057599440217018, -0.02926882728934288, 0.04625116288661957, 0.03443668782711029, -0.016206644475460052, 0.019259633496403694, ...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
21
null
--- datasets: - inaturalist-21 --- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders: https://arxiv.org/abs/2301.00808 Pre-Trained Model from timm-library: https://huggingface.co/timm/convnextv2_base.fcmae_ft_in22k_in1k_384 INaturalist-21 fine-tune dataset: https://github.com/visipedia/inat_com...
[ -0.049810249358415604, -0.0266910120844841, -0.0009128575911745429, 0.02312220074236393, 0.03626096621155739, -0.006412283983081579, -0.007048764731734991, -0.001677241176366806, -0.002219308400526643, 0.05237577110528946, 0.026370294392108917, 0.030707107856869698, 0.00718388007953763, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
26
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: uitviquad_noseg_bart 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. --> # uitviquad_nose...
[ -0.02425013668835163, -0.006030960474163294, 0.004795410670340061, 0.011193874292075634, 0.02228526771068573, -0.014442470856010914, -0.028779497370123863, -0.006437054835259914, -0.04273246228694916, 0.04749475046992302, -0.016856597736477852, -0.029167793691158295, 0.020945150405168533, ...
CAMeL-Lab/bert-base-arabic-camelbert-msa
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,967
2023-04-14T14:41:45Z
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: finetuning-disaster-tweet-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. --> ...
[ -0.0292573980987072, -0.013327120803296566, -0.0035991137847304344, 0.02902219444513321, 0.053811874240636826, 0.029237695038318634, -0.009699196554720402, -0.014981790445744991, -0.04607020318508148, 0.0431106835603714, 0.039264749735593796, -0.006143379490822554, 0.011242447420954704, 0....
CBreit00/DialoGPT_small_Rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit language: - de pipeline_tag: text2text-generation metrics: - bleu - sacrebleu tags: - generated_from_trainer - question generation datasets: - deepset/germanquad model-index: - name: german-trivia-qg-mt5-seq results: - task: type: text2text-generation name: Q...
[ -0.03009067289531231, -0.02223026379942894, -0.024968722835183144, 0.015410317108035088, 0.007044222205877304, 0.008634321391582489, -0.004419684410095215, 0.007658052258193493, -0.03252352774143219, 0.033717717975378036, 0.007863492704927921, 0.04609035700559616, -0.025127757340669632, 0....
CLAck/vi-en
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-en-de-1985 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. --> # xlmr-wmt20qe1-en-...
[ -0.03771839663386345, -0.004682727158069611, -0.00635241623967886, 0.02949792519211769, 0.032116301357746124, 0.02018357440829277, -0.020561695098876953, -0.013275844044983387, -0.040743518620729446, 0.05567405745387077, 0.017655622214078903, -0.05232309177517891, 0.002986361039802432, 0.0...
CLEE/CLEE
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049980372190475464, -0.01625674031674862, -0.008837145753204823, 0.03622734919190407, 0.04116535931825638, 0.00308779114857316, -0.021213164553046227, -0.010200695134699345, -0.037989094853401184, 0.05706315487623215, 0.02447730116546154, -0.0029705942142754793, 0.0313415490090847, 0.00...
CLTL/icf-levels-att
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
2023-04-14T15:04:34Z
--- language: - zh --- so-vits-svc-4.0模型 kuro クロ さくら、もゆ。 训练集776条语音 chiwa 千和 さくら、もゆ。 训练集698条语音 haru ハル さくら、もゆ。训练集927条语音
[ -0.028169505298137665, -0.038354866206645966, 0.014142988249659538, 0.028027428314089775, 0.02714994177222252, 0.010008749552071095, -0.01342556718736887, -0.0016705794259905815, -0.03196162357926369, 0.025374658405780792, 0.028708195313811302, -0.01366313174366951, 0.04391656816005707, 0....
CM-CA/DialoGPT-small-cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-14T15:26:35Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.022589346393942833, 0.01248908881098032, -0.02870660461485386, 0.03720317408442497, 0.05451454594731331, 0.0292186476290226, -0.017407216131687164, -0.02819964662194252, -0.03917956352233887, 0.05902235209941864, 0.028042320162057877, -0.04534454271197319, 0.028130661696195602, 0.043633...
CSZay/bart
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit datasets: - yahma/alpaca-cleaned - teknium/GPT4-LLM-Cleaned - databricks/databricks-dolly-15k --- This repo contains a low-rank adapter for LLaMA-13b fit on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset. This version of the weights was trained with the following hyperpa...
[ -0.04468102753162384, -0.0019243444548919797, -0.008470366708934307, 0.043938666582107544, 0.03899936005473137, 0.008560584858059883, -0.015634100884199142, -0.007718234788626432, -0.014400752261281013, 0.06424557417631149, 0.025812562555074692, -0.027976078912615776, 0.01877736859023571, ...
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-en-zh-1986 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. --> # xlmr-wmt20qe1-en-...
[ -0.03563940152525902, -0.003947087097913027, -0.0037124690134078264, 0.032350119203329086, 0.031034627929329872, 0.014701083302497864, -0.02049078606069088, -0.012806607410311699, -0.03360956162214279, 0.05035111680626869, 0.012837324291467667, -0.050125010311603546, 0.01157389860600233, 0...
Cameron/BERT-jigsaw-identityhate
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-01 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.0415547713637352, 0.01662367582321167, 0.014343335293233395, 0.01694902591407299, 0.04937312752008438, -0.013694493100047112, -0.02111569046974182, -0.02255242131650448, -0.015826836228370667, 0.06818343698978424, 0.036826297640800476, -0.006326767615973949, 0.010457671247422695, -0.007...
Cameron/BERT-mdgender-convai-ternary
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
38
null
--- license: gpl-3.0 language: - ru library_name: transformers tags: - star trek - startrek pipeline_tag: text-generation --- Модель обученная на книгах по Star Trek
[ -0.03037569671869278, -0.013077404350042343, -0.001944191986694932, 0.01667468249797821, 0.05053175613284111, 0.030250070616602898, -0.02704736962914467, 0.006867526099085808, -0.03293127939105034, 0.041939929127693176, 0.08529159426689148, -0.0337490439414978, 0.012347501702606678, 0.0322...
Cameron/BERT-rtgender-opgender-annotations
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: mit --- # Репозиторий моделей цепей Маркова Белибера Этот репозиторий содержит коллекцию моделей цепей Маркова, построенных с помощью библиотеки Python markovify, специально разработанной для генерации текстов на естественном языке. Эти модели были обучены на различных входных данных, включая посты в соц...
[ -0.00906279031187296, -0.03958641737699509, -0.021109119057655334, 0.04045148938894272, 0.05424562469124794, 0.010719270445406437, -0.00890714954584837, 0.027269508689641953, -0.052090950310230255, 0.06251125782728195, 0.05455239862203598, -0.020119238644838333, 0.001433718134649098, 0.040...
Camzure/MaamiBot
[]
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: unknown --- A simple BERT-based classifier for emotions, trained on the go_emotions dataset for my coursework. Only classifies the following emotions: ``` [ "admiration", "anger", "approval", "caring", "confusion", "curiosity", "desire", "disappointment", "excitement", "fear", "gratit...
[ -0.030210118740797043, 0.017604388296604156, -0.017238285392522812, 0.03148292750120163, 0.05113472416996956, 0.039738722145557404, -0.00029390750569291413, -0.009675782173871994, -0.03242968022823334, 0.05214763432741165, 0.0005548718036152422, -0.023094581440091133, 0.04974943771958351, ...
Canadiancaleb/DialoGPT-small-jesse
[ "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...
9
2023-04-14T15:53:47Z
--- license: gpl-3.0 language: - ru library_name: transformers tags: - warcraft - world of warcraft pipeline_tag: text-generation --- Модель обученная на книгах по Warcraft
[ -0.026091542094945908, -0.009022967889904976, -0.006386016495525837, 0.013622427359223366, 0.07114441692829132, 0.02083684504032135, -0.004454304464161396, 0.006289728917181492, -0.025309912860393524, 0.049204517155885696, 0.09887196123600006, -0.008339596912264824, -0.015702787786722183, ...
Canadiancaleb/DialoGPT-small-walter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-en-zh-1985 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. --> # xlmr-wmt20qe1-en-...
[ -0.04191211238503456, -0.0035271623637527227, -0.00577889196574688, 0.03079908899962902, 0.029103988781571388, 0.020770251750946045, -0.019828561693429947, -0.011966905556619167, -0.03674958646297455, 0.054591841995716095, 0.01771293580532074, -0.05123031511902809, 0.006945877335965633, 0....
Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-14T15:55:32Z
--- license: bsd --- # contriever-base-chinese * https://github.com/facebookresearch/contriever
[ -0.04167081043124199, -0.01741800643503666, -0.017380541190505028, 0.005463266745209694, 0.035724181681871414, 0.038665104657411575, -0.010563640855252743, -0.012050109915435314, -0.03960305079817772, 0.048621512949466705, 0.03851398825645447, 0.01940579153597355, 0.056240059435367584, -0....
Canyonevo/DialoGPT-medium-KingHenry
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.040980108082294464, 0.015597040764987469, 0.014364148490130901, 0.017158478498458862, 0.04909725859761238, -0.01301872543990612, -0.020253561437129974, -0.023719724267721176, -0.01681532897055149, 0.06836023181676865, 0.0362902469933033, -0.007053977344185114, 0.011983987875282764, -0.0...
CapitainData/wav2vec2-large-xlsr-turkish-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: gpl-3.0 language: - ru library_name: adapter-transformers tags: - lora - startrek - star trek pipeline_tag: text-generation --- LoRA для large gpt-2 rus Обучена на книгах по Star Trek
[ -0.03156561404466629, -0.013377944007515907, 0.004084456246346235, 0.023682665079832077, 0.05350808426737785, 0.01825845055282116, -0.02263919822871685, -0.004566493909806013, -0.031281501054763794, 0.04537133872509003, 0.07018386572599411, -0.03982910141348839, 0.006596538703888655, 0.033...
Capreolus/birch-bert-large-mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1
2023-04-14T15:58:35Z
--- license: gpl-3.0 language: - ru library_name: adapter-transformers tags: - warcraft - lora - world of warcraft pipeline_tag: text-generation --- LoRA для gpt-2 large rus Обучена на книгах по Warcraft
[ -0.029382547363638878, -0.01368604227900505, -0.0005146163166500628, 0.021696800366044044, 0.07294373214244843, 0.0076174549758434296, -0.006341411266475916, -0.009464123286306858, -0.022999156266450882, 0.050920020788908005, 0.08755435794591904, -0.017847077921032906, -0.015902286395430565,...
Capreolus/electra-base-msmarco
[ "pytorch", "tf", "electra", "text-classification", "arxiv:2008.09093", "transformers" ]
text-classification
{ "architectures": [ "ElectraForSequenceClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
110
null
--- license: gpl-3.0 language: - ru library_name: adapter-transformers tags: - lora - warhammer - wh40k - warhammer40k pipeline_tag: text-generation --- LoRA для GPT-2 large rus Обучена на книгах по warhammer40k от ереси и далее
[ -0.02573801390826702, -0.012993566691875458, 0.0063036666251719, 0.021219607442617416, 0.07574569433927536, 0.026039080694317818, -0.0055407132022082806, 0.0024165038485080004, -0.013844873756170273, 0.050927724689245224, 0.08808482438325882, -0.017190955579280853, -0.02116842195391655, 0....
Captain-1337/CrudeBERT
[ "pytorch", "bert", "text-classification", "arxiv:1908.10063", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
2023-04-14T16:00:49Z
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007534888107329607, 0.006337478756904602, -0.015929652377963066, 0.014819934032857418, 0.05918581038713455, -0.02870621159672737, 0.007463159505277872, -0.032750800251960754, -0.027916185557842255, 0.06732240319252014, 0.025797808542847633, -0.027755171060562134, 0.0020318031311035156, ...
Carlork314/Xd
[]
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 --- The models as used in the [FILM with Pause, Loops, and Reverse colab notebook](https://colab.research.google.com/drive/1tbbbnQge0yb0LmnWNchEKNhjtBNC6jX-#scrollTo=jVbmH6jfAzqd)
[ -0.04064680263400078, -0.014521025121212006, 0.00920320674777031, 0.0332658588886261, 0.04617495462298393, 0.009977495297789574, -0.002963530132547021, 0.013627433218061924, -0.025102393701672554, 0.04908681660890579, 0.04690086469054222, -0.029434554278850555, 0.057689014822244644, 0.0482...
CarlosPR/mt5-spanish-memmories-analysis
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
7
2023-04-14T16:09:11Z
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-ro-en-1986 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. --> # xlmr-wmt20qe1-ro-...
[ -0.039625007659196854, -0.0034485640935599804, -0.005593396257609129, 0.03188440576195717, 0.03367852419614792, 0.01786903850734234, -0.019251862540841103, -0.01399199292063713, -0.03910091519355774, 0.05319901555776596, 0.016700563952326775, -0.05212271958589554, 0.0037894018460065126, 0....
Carolhuehuehuehue/Sla
[]
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
2023-04-14T16:12:20Z
--- license: gpl language: - en pipeline_tag: text-generation tags: - llama --- # GPT4All model This model is converted from the original model by Nomic-AI to the llamacpp ggml format. It can be used with the [GPT4ALL-ui application](https://github.com/nomic-ai/gpt4all-ui) You can also use many other models that you c...
[ -0.04022597894072533, 0.004587557632476091, 0.018949152901768684, 0.022385381162166595, 0.036867644637823105, 0.013182161375880241, -0.018368633463978767, -0.015473401173949242, -0.006305722985416651, 0.05884137377142906, 0.02872442826628685, -0.01286639366298914, 0.0328313447535038, 0.036...
CasualHomie/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...
11
null
--- 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...
[ -0.04390747845172882, -0.0020436844788491726, 0.01158046443015337, 0.03755449876189232, 0.024701852351427078, -0.011591307818889618, -0.009724978357553482, -0.026459768414497375, -0.03907020017504692, 0.055346984416246414, 0.03673447296023369, 0.0021454752422869205, 0.018385594710707664, 0...
Cat/Kitty
[]
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
2023-04-14T17:00:51Z
--- 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...
[ -0.04014253988862038, -0.0020871914457529783, 0.011771437712013721, 0.03856443986296654, 0.027073830366134644, -0.01311496365815401, -0.011926858685910702, -0.026462242007255554, -0.041513729840517044, 0.056355513632297516, 0.038749463856220245, 0.0003124274080619216, 0.01715429499745369, ...
dccuchile/albert-base-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
34
null
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-ro-en-1985 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. --> # xlmr-wmt20qe1-ro-...
[ -0.03887055441737175, -0.0033228551037609577, -0.006441196426749229, 0.030102968215942383, 0.031555287539958954, 0.01899547688663006, -0.018490830436348915, -0.013912870548665524, -0.03859904780983925, 0.05421052128076553, 0.018280241638422012, -0.05145574361085892, 0.003139561740681529, 0...
dccuchile/albert-base-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.025649435818195343, -0.00846746377646923, -0.03302338346838951, 0.04664390906691551, 0.06011395528912544, 0.029824379831552505, -0.032732803374528885, 0.006456119939684868, -0.031013909727334976, 0.04528551921248436, 0.04726681858301163, -0.015383482910692692, 0.020955245941877365, 0.04...
Chaewon/mnmt_decoder_en
[ "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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top5_WithOOC_MultilingualBertBase results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then...
[ -0.01669052056968212, -0.006056115496903658, -0.015908846631646156, 0.04768899828195572, 0.02762208878993988, 0.027554282918572426, -0.008957813493907452, -0.020473448559641838, -0.052893612533807755, 0.058326125144958496, 0.016492299735546112, -0.038365643471479416, 0.003396088257431984, ...
Chaewon/mnmt_decoder_en_gpt2
[]
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...
[ -0.03977666422724724, 0.016045844182372093, 0.014176241122186184, 0.01731073670089245, 0.04882635921239853, -0.013567760586738586, -0.01992132142186165, -0.023691151291131973, -0.017758697271347046, 0.06802389025688171, 0.03590967878699303, -0.007969537749886513, 0.011156929656863213, -0.0...