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int64
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Dkwkk/W
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.020700549706816673, -0.012802590616047382, 0.018400482833385468, 0.0268336720764637, 0.024300677701830864, 0.022425752133131027, 0.007045606151223183, -0.004629567265510559, -0.008929800242185593, 0.06381729990243912, -0.002824151888489723, -0.01451016589999199, 0.029734937474131584, 0....
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-04-20T06:34:31Z
--- license: afl-3.0 datasets: - huggan/few-shot-pokemon language: - en library_name: diffusers --- ## Training data huggan/few-shot-pokemon ### Training hyperparameters The following hyperparameters were used during training: --checkpointing_steps=1000 \ --dataset_name="huggan/few-shot-pokemon" \ --resolution...
[ -0.008690944872796535, -0.014027082361280918, -0.003332387423142791, 0.037751685827970505, 0.04512868449091911, 0.010933656245470047, 0.00035485895932652056, -0.030340686440467834, -0.02511058934032917, 0.050354525446891785, -0.007622493896633387, 0.0038881117943674326, 0.012287993915379047,...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-04-20T06:38:04Z
--- license: cc-by-sa-4.0 language: - en - zh library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion - stable-diffusion-diffusers - dreambooth --- # asian-role Welcome to asian-role model, this is a Chinese gorgeous antique style game role model. This model is intended to produce high-quality, ...
[ -0.026811709627509117, -0.03632138669490814, -0.0006178956828080118, 0.03388947620987892, 0.03203972429037094, 0.0002461207041051239, -0.018052196130156517, -0.017665350809693336, -0.021133530884981155, 0.06257079541683197, 0.022072896361351013, -0.003828642889857292, 0.02800113894045353, ...
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-04-20T06:39:16Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-uncased-whole-word-masking-finetuned-squad-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...
[ -0.02824520878493786, 0.0022273787762969732, -0.01755703240633011, 0.04568428546190262, 0.04272890463471413, 0.01726738177239895, -0.025446737185120583, -0.011764817871153355, -0.009870569221675396, 0.033418189734220505, 0.02120167389512062, 0.0008922791457735002, 0.03046906739473343, 0.05...
bert-base-cased-finetuned-mrpc
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11,644
2023-04-20T06:43:13Z
--- license: bsd-3-clause --- This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization Go data. Pretrained model: https://huggingface.co/Salesforce/codet5-base Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the Go split)
[ -0.01839076355099678, -0.021256279200315475, 0.025623643770813942, 0.0008494389476254582, 0.05744566395878792, 0.015548472292721272, -0.006354038137942553, 0.014104939997196198, -0.02398214489221573, 0.04264649748802185, 0.036489423364400864, 0.02224399894475937, 0.030883219093084335, 0.02...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-04-20T06:45:09Z
--- license: bsd-3-clause --- This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization Java data. Pretrained model: https://huggingface.co/Salesforce/codet5-base Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the Java split)
[ -0.013066624291241169, -0.012668237090110779, 0.013083267025649548, -0.002671424765139818, 0.057662997394800186, 0.02032490447163582, -0.013220628723502159, 0.011845416389405727, -0.006044760812073946, 0.04055815190076828, 0.03274815157055855, 0.0026251738891005516, 0.027794135734438896, 0...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
null
--- license: bsd-3-clause --- This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization JavaScript data. Pretrained model: https://huggingface.co/Salesforce/codet5-base Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the JavaScript split)
[ -0.01346777193248272, -0.019000457599759102, 0.019157124683260918, -0.0030243336223065853, 0.05755442753434181, 0.015898915007710457, -0.013980459421873093, 0.004603669047355652, -0.022667044773697853, 0.04901835694909096, 0.033079683780670166, 0.014797482639551163, 0.016993699595332146, 0...
bert-base-german-dbmdz-cased
[ "pytorch", "jax", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,814
2023-04-20T06:47:16Z
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer model-index: - name: whisper-base-vinzalo-v1-60k 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...
[ -0.06028539687395096, -0.014833468943834305, 0.0060768406838178635, 0.03366249427199364, 0.026422837749123573, 0.008656803518533707, -0.0004969002911821008, -0.0038335714489221573, -0.014349267818033695, 0.0572228766977787, 0.05088198184967041, -0.032956697046756744, 0.019041480496525764, ...
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
null
--- license: bsd-3-clause --- This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization PHP data. Pretrained model: https://huggingface.co/Salesforce/codet5-base Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the PHP split)
[ -0.011123577132821083, -0.02395407296717167, 0.020677372813224792, -0.017006967216730118, 0.058175988495349884, 0.014806550927460194, -0.016684241592884064, 0.02250976860523224, -0.013764691539108753, 0.05709826946258545, 0.0496903657913208, 0.02334924228489399, 0.02295871078968048, 0.0161...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-04-20T06:49:29Z
--- license: bsd-3-clause --- This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization Ruby data. Pretrained model: https://huggingface.co/Salesforce/codet5-base Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the Ruby split)
[ -0.0148463174700737, -0.015718769282102585, 0.00985612254589796, -0.0068175289779901505, 0.06782793998718262, 0.017616022378206253, -0.014568508602678776, 0.01000157743692398, -0.030328739434480667, 0.051099374890327454, 0.04159659147262573, 0.01973484642803669, 0.024279523640871048, 0.023...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
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...
[ -0.03997594863176346, 0.016053790226578712, 0.014309164136648178, 0.017482856288552284, 0.048697568476200104, -0.013741343282163143, -0.019449448212981224, -0.024158133193850517, -0.017752569168806076, 0.0679011195898056, 0.035769302397966385, -0.007835403084754944, 0.011137288063764572, -...
bert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
59,663,489
2023-04-20T06:53:04Z
“พลอย เฌอมาลย์” ไม่ปิดแล้ว เปิดตัวคบ “โต้ง ทูพี” หลังจากให้คนเดาความสัมพันธ์กันอยู่นานว่าระหว่าง “พลอย เฌอมาลย์ บุญยศักดิ์” กับ “โต้ง พิทวัส พฤกษกิจ” หรือ “โต้ง ทูพี” นั้นเป็นอะไรกันแน่ ล่าสุดทางนางเอกสาวได้ออกมาโพสต์ภาพคู่ พร้อมกับตนเองด้วยชื่อของแร๊ปเปอร์หนุ่ม เปิดคัวความสัมพันธ์ว่านี่คือรักครั้งใหม่ของทั้งคู่ หลัง...
[ 0.006739678792655468, -0.021567828953266144, -0.008194778114557266, 0.017289718613028526, 0.021335437893867493, 0.023356758058071136, 0.0038261665031313896, 0.011945297010242939, -0.05066034570336342, 0.055942170321941376, 0.005733984988182783, -0.03439044952392578, 0.04341958835721016, 0....
bert-large-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,058,496
2023-04-20T07:05:23Z
# Info Checkpoint 256 Wandb details: https://wandb.ai/bangnbx/text-to-sql-2/runs/b8ce44g0 Exact Match: 31.62% (max 45.84%) Quite stable from step 768 (44.87%)
[ -0.026609916239976883, 0.0030943031888455153, -0.0016737309051677585, 0.05199829116463661, 0.026805289089679718, 0.01482588890939951, 0.02478637732565403, 0.00842647347599268, -0.046272095292806625, 0.03818729519844055, 0.029137251898646355, -0.0025037028826773167, -0.0025733488146215677, ...
ctrl
[ "pytorch", "tf", "ctrl", "en", "arxiv:1909.05858", "arxiv:1910.09700", "transformers", "license:bsd-3-clause", "has_space" ]
null
{ "architectures": null, "model_type": "ctrl", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
17,007
2023-04-20T07:07:36Z
--- license: mit language: - en --- # bert-uncased-L2-H512-A8 This is one of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) released by [google-research/bert](https://github.com/google-research/bert). These BERT models was released as TensorFlow checkpoints, however, this is the conver...
[ -0.009965109638869762, -0.014202982187271118, -0.03208693116903305, 0.06045717000961304, 0.01916719414293766, 0.016274020075798035, -0.022429732605814934, -0.01204896904528141, -0.04512616619467735, 0.05364665389060974, 0.01268888358026743, -0.004190819803625345, 0.0323772132396698, 0.0283...
distilgpt2
[ "pytorch", "tf", "jax", "tflite", "rust", "coreml", "safetensors", "gpt2", "text-generation", "en", "dataset:openwebtext", "arxiv:1910.01108", "arxiv:2201.08542", "arxiv:2203.12574", "arxiv:1910.09700", "arxiv:1503.02531", "transformers", "exbert", "license:apache-2.0", "model-...
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...
1,611,668
2023-04-20T07:19:12Z
# Info Checkpoint 512 Wandb details: https://wandb.ai/bangnbx/text-to-sql-2/runs/b8ce44g0 Exact Match: 40.81% (max 45.84%) Quite stable from step 768 (44.87%)
[ -0.026472706347703934, 0.009569953195750713, 0.0023158490657806396, 0.052480220794677734, 0.023989690467715263, 0.014280932024121284, 0.01961098611354828, 0.005659418646246195, -0.0465037077665329, 0.03982682526111603, 0.03263692930340767, -0.006374314893037081, -0.005269329063594341, 0.04...
gpt2-medium
[ "pytorch", "tf", "jax", "rust", "safetensors", "gpt2", "text-generation", "en", "arxiv:1910.09700", "transformers", "license:mit", "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...
759,601
2023-04-20T07:20:35Z
# Info Checkpoint 2048 Wandb details: https://wandb.ai/bangnbx/text-to-sql-2/runs/b8ce44g0 Exact Match: 44.2% (max 45.84%) Quite stable from step 768 (44.87%)
[ -0.029227718710899353, 0.0046330108307302, -0.003988826647400856, 0.05712299793958664, 0.019710343331098557, 0.016817862167954445, 0.02626778371632099, 0.010188468731939793, -0.04130297526717186, 0.036326613277196884, 0.037429533898830414, -0.004547792952507734, -0.0015332746552303433, 0.0...
275Gameplay/test
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "transformers" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # nikcheerla/nooks-amd-detection-full-v3 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient fe...
[ -0.016910476610064507, -0.027796873822808266, -0.008793674409389496, 0.05666248872876167, 0.021982260048389435, 0.023531325161457062, -0.022052079439163208, -0.0050213332287967205, -0.045326318591833115, 0.06905156373977661, 0.02703096531331539, 0.024944953620433807, 0.027716143056750298, ...
AAli/distilgpt2-finetuned-wikitext2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-20T09:46:13Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: swin-tiny-patch4-window7-224-finetuned-eurosat results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder ...
[ -0.02101646363735199, 0.001996678067371249, -0.009798815473914146, 0.03322666510939598, 0.04202165827155113, -0.012000140734016895, -0.012756137177348137, 0.023629682138562202, -0.0026186020113527775, 0.0626150593161583, 0.010558148846030235, -0.0068918257020413876, 0.008447951637208462, 0...
AbhinavSaiTheGreat/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...
10
2023-04-20T12:54:46Z
--- 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...
[ -0.007632904686033726, 0.0058670444414019585, -0.0165563877671957, 0.01645524986088276, 0.05902421101927757, -0.02924715355038643, 0.00709024490788579, -0.0349341481924057, -0.027450261637568474, 0.06669030338525772, 0.028820723295211792, -0.028056250885128975, -0.0017756260931491852, 0.02...
AdapterHub/bert-base-uncased-pf-copa
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "adapterhub:comsense/copa" ]
null
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
4
null
--- tags: - t5 - adapter-transformers datasets: - hotpot_qa --- # Adapter `carnival13/t5-small-hpqa-ia3lo` for mrm8488/t5-small-finetuned-squadv2 An [adapter](https://adapterhub.ml) for the `mrm8488/t5-small-finetuned-squadv2` model that was trained on the [hotpot_qa](https://huggingface.co/datasets/hotpot_qa/) datas...
[ -0.04658443480730057, -0.02409406565129757, 0.0013112120795994997, 0.040348127484321594, 0.020782362669706345, 0.00906250812113285, -0.036995094269514084, -0.0035732965916395187, -0.04440968111157417, 0.057634130120277405, -0.0015525707276538014, -0.0031193930190056562, 0.004991380497813225,...
AdapterHub/bert-base-uncased-pf-qnli
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:nli/qnli" ]
text-classification
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
2
2023-04-20T14:18:39Z
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - erkam/sd-clevr-sg2im-nocap-nodesonly These are LoRA adaption weights for stabilityai/stable-dif...
[ -0.030702149495482445, -0.014908043667674065, -0.015660889446735382, 0.016918553039431572, 0.052414193749427795, -0.01090075634419918, 0.011429655365645885, -0.006241208873689175, -0.028738494962453842, 0.057481799274683, 0.00979849137365818, -0.01623089611530304, 0.016932889819145203, 0.0...
AidenGO/KDXF_Bert4MaskedLM
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
# First Millennium Babylonian model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer) Total data set size ca. 1.3M words (including lacunae). Consists of all Oracc texts labeled as any variant of Babylonian or Akkadian in the first millennium BCE. Neo-Assyrian excluded. OOV rate is fairly low but the data...
[ -0.029871923848986626, -0.030942684039473534, 0.005912928842008114, 0.024533430114388466, 0.03535597771406174, 0.007234309799969196, -0.006363035179674625, -0.02687513642013073, -0.026247331872582436, 0.027768321335315704, 0.06593123078346252, 0.008968398906290531, 0.0007854854338802397, 0...
AimB/mT5-en-kr-opus
[]
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 tags: - openvino --- # bert-large-uncased-whole-word-masking-finetuned-squad This is the [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inferen...
[ -0.03820183128118515, -0.03257160261273384, -0.0019509404664859176, 0.026702862232923508, 0.022565439343452454, -0.0036599517334252596, -0.026665516197681427, 0.0019176772329956293, -0.01839013211429119, 0.0379476323723793, 0.011702924966812134, 0.01663990691304207, 0.005209890194237232, 0...
Aimendo/Triage
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.053646743297576904, 0.0008367971749976277, -0.0046152896247804165, 0.05010881647467613, 0.024723630398511887, 0.030516816303133965, -0.010031105950474739, -0.023783721029758453, -0.002279661362990737, 0.05034371092915535, 0.025236159563064575, -0.012134849093854427, 0.00972389429807663, ...
Ajaykannan6/autonlp-manthan-16122692
[ "pytorch", "bart", "text2text-generation", "unk", "dataset:Ajaykannan6/autonlp-data-manthan", "transformers", "autonlp", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "BartForConditionalGeneration" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 142, "min_length": 56, "no_repeat_ngr...
4
2023-04-20T17:35:49Z
--- language: - en tags: - openvino --- # distilbert-base-uncased-distilled-squad This is the [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do inference on ...
[ -0.0410485565662384, -0.03179853782057762, -0.014411697164177895, 0.022085139527916908, 0.03054204396903515, 0.001614846521988511, -0.032749488949775696, 0.003965144976973534, -0.02690417319536209, 0.03895096480846405, 0.02397773787379265, 0.014584953896701336, -0.001735454541631043, 0.036...
Akbarariza/Anjar
[]
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 tags: - openvino --- # assemblyai/bert-large-uncased-sst2 This is the [assemblyai/bert-large-uncased-sst2](https://huggingface.co/assemblyai/bert-large-uncased-sst2) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do inference on this model: ```...
[ -0.043031010776758194, -0.022538499906659126, -0.0004922564839944243, 0.03495626896619797, 0.018216529861092567, -0.0010247976751998067, -0.028226729482412338, -0.01637575402855873, -0.02843645215034485, 0.04921997711062431, -0.0003196685283910483, 0.017699293792247772, -0.002810091013088822...
AkshatSurolia/DeiT-FaceMask-Finetuned
[ "pytorch", "deit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "DeiTForImageClassification" ], "model_type": "deit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
46
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: FrozenLake-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_sl...
[ -0.01741093397140503, -0.017148727551102638, -0.004562117159366608, 0.02834186889231205, 0.051383569836616516, -0.01883411593735218, -0.010866090655326843, -0.006575317587703466, -0.05901779606938362, 0.052643343806266785, -0.0005903713754378259, -0.00992786604911089, 0.02805144339799881, ...
AkshatSurolia/ViT-FaceMask-Finetuned
[ "pytorch", "safetensors", "vit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
40
null
--- language: en license: mit tags: - vision - image-to-text - image-captioning - visual-question-answering pipeline_tag: image-to-text duplicated_from: Salesforce/blip2-opt-2.7b --- # BLIP-2, OPT-2.7b, pre-trained only BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language mo...
[ -0.010693544521927834, -0.01836557686328888, 0.0023291108664125204, 0.044349174946546555, 0.030933968722820282, -0.0026049434673041105, 0.0036796967033296824, 0.0024082164745777845, -0.0036162075120955706, 0.05809011682868004, 0.03185974434018135, -0.013796743005514145, 0.004549766890704632,...
AkshayDev/BERT_Fine_Tuning
[]
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: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.053036339581012726, 0.00044903394882567227, -0.0016004068311303854, 0.04877878725528717, 0.024052634835243225, 0.02739940583705902, -0.009949147701263428, -0.02248101495206356, -0.0020355319138616323, 0.04913224279880524, 0.02517218515276909, -0.013297395780682564, 0.008807298727333546, ...
AkshaySg/LanguageIdentification
[ "multilingual", "dataset:VoxLingua107", "LID", "spoken language recognition", "license:apache-2.0" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - openvino --- # assemblyai/distilbert-base-uncased-sst2 This is the [assemblyai/distilbert-base-uncased-sst2](https://huggingface.co/assemblyai/distilbert-base-uncased-sst2) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do inference on ...
[ -0.04452859237790108, -0.02228446491062641, -0.004153091926127672, 0.029972746968269348, 0.020979035645723343, 0.005628424230962992, -0.027014391496777534, -0.010617575608193874, -0.034025512635707855, 0.050992079079151154, 0.006435241084545851, 0.015308673493564129, -0.0014282383490353823, ...
AkshaySg/langid
[ "multilingual", "dataset:VoxLingua107", "speechbrain", "audio-classification", "embeddings", "Language", "Identification", "pytorch", "ECAPA-TDNN", "TDNN", "VoxLingua107", "license:apache-2.0" ]
audio-classification
{ "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...
2
null
--- language: - en tags: - openvino --- # echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid This is the [echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid](https://huggingface.co/echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. A...
[ -0.03707042708992958, -0.02534649521112442, -0.0012823485303670168, 0.023044602945446968, 0.01608309894800186, 0.004230194725096226, -0.03493793308734894, -0.011589409783482552, -0.03163447231054306, 0.04990316927433014, 0.003086413023993373, 0.008623221889138222, 0.00219769892282784, 0.03...
AlErysvi/Erys
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - openvino --- # Alireza1044/albert-base-v2-sst2 This is the [Alireza1044/albert-base-v2-sst2](https://huggingface.co/Alireza1044/albert-base-v2-sst2) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do inference on this model: ```python fr...
[ -0.040828850120306015, -0.03330949321389198, 0.002817569999024272, 0.03015155903995037, 0.013928784057497978, -0.0012572113191708922, -0.02709236741065979, -0.009646018035709858, -0.030571265146136284, 0.051228974014520645, 0.009613974019885063, 0.01032006274908781, -0.004728317726403475, ...
AlbertHSU/BertTEST
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
8
null
huggyllama/llama-30b merged with serpdotai/llama-oasst-lora-30B. Both 4bit-128g and 4bit non-groupsize versions are on my repo as well.
[ -0.0482783168554306, -0.0003182136861141771, -0.014056578278541565, 0.029992004856467247, 0.050894513726234436, 0.006126350723206997, 0.005840378347784281, 0.0007670948980376124, -0.008220139890909195, 0.043337441980838776, 0.05757823958992958, -0.003330470761284232, 0.0539415217936039, 0....
AlchemistDude/DialoGPT-medium-Gon
[]
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
2023-04-20T18:32:14Z
--- library_name: stable-baselines3 tags: - reinforce - Pixelcopter-PLE-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type...
[ -0.05037529766559601, -0.007611440494656563, -0.0037925292272120714, 0.028270110487937927, 0.042428694665431976, -0.0025663895066827536, -0.021218303591012955, -0.01763017475605011, -0.03847046196460724, 0.06923384964466095, 0.025552796199917793, -0.007945459336042404, 0.017459113150835037, ...
Aleksandar1932/distilgpt2-rock
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
# `vocabtrimmer/xlm-v-base-xnli-es` This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the [xnli](https://huggingface.co/datasets/xnli) (es). Following metrics are computed on the `test` split of [xnli](https://huggingface.co/datasets/xnli)(es). | | eval...
[ -0.03115929290652275, -0.006401876453310251, 0.022578569129109383, -0.0032451676670461893, 0.010844460688531399, 0.009983113035559654, -0.009905535727739334, -0.017005925998091698, -0.04244542494416237, 0.03926955536007881, 0.043357718735933304, -0.045787304639816284, 0.01991553045809269, ...
Aleksandar1932/gpt2-country
[ "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...
12
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...
[ -0.04301320016384125, -0.002215813612565398, 0.014015626162290573, 0.03597122058272362, 0.025101715698838234, -0.011999966576695442, -0.010593005456030369, -0.026692532002925873, -0.03861165791749954, 0.056159112602472305, 0.033910322934389114, 0.0015651636058464646, 0.0193778108805418, 0....
Aleksandar1932/gpt2-hip-hop
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: distilbert-base-uncased-finetuned-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete i...
[ -0.020935723558068275, 0.01766720600426197, -0.022203469648957253, 0.039729297161102295, 0.045531533658504486, 0.02411103993654251, -0.034031081944704056, -0.023464053869247437, -0.04308190941810608, 0.05046533793210983, 0.04780586436390877, -0.025406790897250175, 0.013317917473614216, 0.0...
Aleksandar1932/gpt2-pop
[ "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
--- datasets: - yahma/alpaca_cleaned - lksy/ru_instruct_gpt4 language: - ru pipeline_tag: text2text-generation inference: false --- Based on [LLaMA 30B](https://huggingface.co/huggyllama/llama-30b). Trained on 4 LoRA modules. Parameters: ``` { "base_model_name_or_path": "./llama-30b-hf", "bias": "none", "ena...
[ -0.003178128506988287, -0.030174190178513527, -0.011232593096792698, 0.05775948986411095, 0.04444696754217148, 0.006608791649341583, -0.0012770164757966995, -0.012229240499436855, -0.026487788185477257, 0.06017407029867172, 0.040383532643318176, -0.03663449361920357, -0.0041786921210587025, ...
AlekseyKulnevich/Pegasus-Summarization
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
7
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.018451599404215813, -0.017087792977690697, -0.006854310166090727, 0.029775751754641533, 0.051944270730018616, -0.0183077584952116, -0.011584116145968437, -0.00907890498638153, -0.058704450726509094, 0.054241932928562164, -0.003107813885435462, -0.008815096691250801, 0.025691283866763115, ...
Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
7
null
--- tags: - conversational --- # Palpatine DialoGPT Model
[ -0.016047313809394836, 0.00960808526724577, -0.002433839486911893, 0.019749246537685394, 0.024784686043858528, 0.03389570862054825, 0.010531391948461533, 0.0397922657430172, -0.006962006911635399, 0.01377147901803255, 0.03849535807967186, -0.04130517318844795, 0.018346093595027924, 0.03070...
Alexandru/creative_copilot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.0456223264336586, -0.0010323856258764863, -0.021915022283792496, 0.03265049681067467, 0.04345828294754028, 0.017982956022024155, -0.01830396056175232, -0.030616652220487595, -0.03731894865632057, 0.06891222298145294, 0.021676797419786453, 0.0033745532855391502, 0.015582337975502014, 0.0...
AlexeyIgnatov/albert-xlarge-v2-squad-v2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-4.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: Helsinki-NLP-finetuned-ru-to-en results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.01997828669846058, -0.008242391981184483, 0.0015780411195009947, 0.04118579626083374, 0.026392053812742233, 0.006934370379894972, -0.018879499286413193, -0.002171359956264496, -0.05777715891599655, 0.05157080665230751, 0.03983401879668236, -0.016087139025330544, 0.011253248900175095, 0....
Amalq/distilroberta-base-finetuned-MentalHealth
[]
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
2023-04-20T21:37:13Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: ossib/kho-lex-fi-sv 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. --> # ossib/kho-lex-...
[ -0.020594146102666855, -0.03368676081299782, 0.020302187651395798, 0.008830164559185505, 0.032572999596595764, 0.0047509497962892056, -0.017643684521317482, -0.003655561013147235, -0.03752925619482994, 0.04431181773543358, 0.015602240338921547, -0.026235368102788925, 0.02154354378581047, 0...
Anamika/autonlp-Feedback1-479512837
[ "pytorch", "xlm-roberta", "text-classification", "unk", "dataset:Anamika/autonlp-data-Feedback1", "transformers", "autonlp", "co2_eq_emissions" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
34
null
--- tags: - autotrain - vision - image-classification datasets: - juanArevalo/autotrain-data-classificacion widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_titl...
[ -0.006207928527146578, -0.01900992915034294, 0.01575162447988987, 0.042596638202667236, 0.05021486058831215, -0.000767152348998934, -0.019335467368364334, -0.0018040039576590061, -0.03454768657684326, 0.06702053546905518, -0.0057999808341264725, 0.0012015050742775202, 0.006361879874020815, ...
Ann2020/rubert-base-cased-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: unknown --- 개인용 모델 모음 2023년 04월 21일까지의 모은 하드의 모델들 / 로라들 / VAE들이 모아져있음
[ -0.01570024900138378, -0.013501467183232307, -0.013553662225604057, 0.011969218030571938, 0.051450036466121674, -0.0043037873692810535, 0.012379084713757038, 0.021115435287356377, -0.05013188347220421, 0.04894637688994408, 0.04518131539225578, 0.01819317415356636, 0.03679593279957771, 0.02...
Anomic/DialoGPT-medium-loki
[]
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: Tq-axi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.017804915085434914, -0.01832091063261032, -0.007606350351125002, 0.028660591691732407, 0.04949897155165672, -0.001284154481254518, -0.018916528671979904, 0.00533510884270072, -0.03511010855436325, 0.04931193217635155, 0.01261321734637022, -0.008105459623038769, 0.009655284695327282, 0.0...
AnonymousSub/AR_rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: platzi-vit-model-Santiago-Garcia results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default split: va...
[ -0.009663504548370838, 0.004055148921906948, 0.012522108852863312, 0.03144947439432144, 0.04660724848508835, -0.006551462225615978, 0.009212812408804893, 0.0009126391960307956, -0.014781495556235313, 0.04868170619010925, 0.01649283617734909, -0.014677458442747593, -0.003784392960369587, 0....
AnonymousSub/AR_rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
# `vocabtrimmer/xlm-v-base-trimmed-es-xnli-es` This model is a fine-tuned version of [vocabtrimmer/xlm-v-base-trimmed-es](https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-es) on the [xnli](https://huggingface.co/datasets/xnli) (es). Following metrics are computed on the `test` split of [xnli](https://huggingfa...
[ -0.024293463677167892, -0.008229113183915615, 0.02186434529721737, 0.00020967518503312021, 0.009925040416419506, 0.00023375435557682067, -0.0052080885507166386, -0.010258369147777557, -0.04888572171330452, 0.03612913936376572, 0.022952262312173843, -0.04994601011276245, 0.012398327700793743,...
AnonymousSub/AR_rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: amazon-roberta 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. --> # amazon-roberta This...
[ -0.03545060381293297, -0.00814107246696949, -0.0031493776477873325, 0.04136510193347931, 0.034568388015031815, 0.03010568395256996, -0.004555310122668743, -0.009734194725751877, -0.045924924314022064, 0.04975620657205582, 0.038799166679382324, -0.018040770664811134, -0.0016572289168834686, ...
AnonymousSub/AR_rule_based_roberta_hier_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
2023-05-02T19:08:44Z
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # These are Stable Diffusion v1.5 type models and compatible ControlNet v1.1 models that have been converted to Apple's CoreML format ## For use with a Swift app or the SwiftCLI The SD models are all "original" (not split-einsum)...
[ -0.029737424105405807, -0.010075884871184826, -0.03612341731786728, 0.026840103790163994, 0.03488124534487724, 0.022813748568296432, 0.006927730515599251, -0.003640867304056883, -0.016239134594798088, 0.05215724557638168, 0.030004432424902916, 0.011593285016715527, 0.017179841175675392, 0....
AnonymousSub/AR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m library_name: diffusers pipeline_tag: text-to-image --- use to learn
[ -0.014744902960956097, -0.016405733302235603, -0.00804547406733036, 0.013051203452050686, 0.049553655087947845, 0.00564510328695178, -0.009477722458541393, 0.0034769473131746054, -0.008283212780952454, 0.03608575090765953, 0.018577195703983307, 0.012034508399665356, 0.010845213197171688, 0...
AnonymousSub/AR_rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.011481818743050098, -0.03232232853770256, -0.0011541290441527963, 0.03845962509512901, 0.05100765824317932, 0.013229411095380783, -0.02602350153028965, -0.011917494237422943, -0.035590577870607376, 0.03652043268084526, -0.008258190006017685, -0.006748562678694725, 0.0013891395647078753, ...
AnonymousSub/EManuals_RoBERTa_squad2.0
[ "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...
4
null
--- 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 - brathief/pokemon-lora These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The w...
[ -0.03179977461695671, -0.012457780539989471, -0.026404179632663727, 0.027134854346513748, 0.04721999913454056, -0.014607270248234272, 0.009530091658234596, -0.015880616381764412, -0.007696499582380056, 0.07025635987520218, 0.02545786462724209, -0.03228505700826645, 0.006093124859035015, 0....
AnonymousSub/SR_EManuals-BERT
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 --- ## Quickstart ```python !pip install diffusers from diffusers import DiffusionPipeline pipeline = DiffusionPipeline.from_pretrained( "YouLiXiya/yl-consistency", custom_pipeline="YouLiXiya/yl-consistency", ) from PIL import Image def make_grid(images, rows, cols): w, h = images[0...
[ -0.0014312118291854858, -0.015991324558854103, 0.0032612376380711794, 0.028983723372220993, 0.047332633286714554, 0.013644509017467499, 0.0010355059057474136, 0.00466076610609889, -0.007901801727712154, 0.04497264325618744, 0.0013789512449875474, -0.0003748461604118347, 0.030408013612031937,...
AnonymousSub/SR_declutr
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
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 ...
[ -0.0454891137778759, -0.0005588505882769823, -0.021899929270148277, 0.03198307007551193, 0.04324771836400032, 0.017673976719379425, -0.018111420795321465, -0.030713548883795738, -0.037629324942827225, 0.06924792379140854, 0.022352859377861023, 0.0033245261292904615, 0.014886344783008099, 0...
AnonymousSub/SR_rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
Access to model europaa/apejakovich is restricted and you are not in the authorized list. Visit https://huggingface.co/europaa/apejakovich to ask for access.
[ -0.05789794400334358, -0.013402550481259823, 0.007465900853276253, 0.00021301550441421568, 0.06412632018327713, -0.019315192475914955, -0.0014371948782354593, 0.0034670382738113403, -0.06684603542089462, 0.04169111326336861, 0.04487505182623863, 0.0025914988946169615, 0.014597364701330662, ...
AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
2023-04-21T03:36:25Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/gpl-e5-base-unsupervised-arguana-1 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and ...
[ -0.04021133482456207, -0.021772287786006927, -0.014130959287285805, 0.04928126186132431, 0.012999791651964188, 0.04421338438987732, -0.020932093262672424, -0.0040617166087031364, -0.06754244118928909, 0.08378654718399048, 0.036304522305727005, 0.014766844920814037, -0.002004337962716818, 0...
AnonymousSub/SR_rule_based_roberta_only_classfn_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
# `vocabtrimmer/xlm-v-base-trimmed-en-xnli-en` This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [xnli](https://huggingface.co/datasets/xnli) (en). Following metrics are computed on the `test` split of [xnli](https://huggingface.co/datasets/xnli)(en). | | ...
[ -0.019913336262106895, -0.0059269871562719345, 0.02105553075671196, 0.002057345351204276, 0.01096959039568901, -0.000421934382757172, -0.007980492897331715, -0.019377680495381355, -0.05140230432152748, 0.03984575718641281, 0.027758527547121048, -0.05300753936171532, 0.01213337667286396, 0....
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
Access to model jesperchou/autogpt is restricted and you are not in the authorized list. Visit https://huggingface.co/jesperchou/autogpt to ask for access.
[ -0.028046084567904472, 0.007935876958072186, -0.005428061820566654, 0.01404441986232996, 0.048444416373968124, 0.005901155527681112, 0.023337075486779213, -0.0001327249192399904, -0.05116351321339607, 0.049113232642412186, 0.03971557319164276, -0.01943773403763771, 0.01008891873061657, 0.0...
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- 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...
[ -0.039838239550590515, -0.0019954927265644073, 0.012149161659181118, 0.03528030216693878, 0.025271957740187645, -0.011068059131503105, -0.011099379509687424, -0.02440550923347473, -0.037958208471536636, 0.0559554323554039, 0.03706274554133415, 0.000902129162568599, 0.020238911733031273, 0....
AnonymousSub/SR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: platzi-vit-model-Santiago-Garcia-Solarte results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default s...
[ -0.013247782364487648, 0.003517008386552334, 0.008551634848117828, 0.027054348960518837, 0.05047224089503288, -0.0035941461101174355, 0.005325110629200935, -0.001413972582668066, -0.02003926783800125, 0.04812949523329735, 0.0193527452647686, -0.01295105367898941, -0.0004980150843039155, 0....
AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: finetuning-medical-specialty-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 rem...
[ -0.015553504228591919, 0.0011582031147554517, 0.012700027786195278, 0.022652577608823776, 0.03132018446922302, 0.007181789726018906, -0.025162111967802048, -0.01346093975007534, -0.03911196440458298, 0.05108191445469856, 0.04064503312110901, -0.0187713410705328, 0.03604864701628685, 0.0390...
AnonymousSub/cline-emanuals-techqa
[ "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...
4
null
--- license: creativeml-openrail-m base_model: CompVis/stable-diffusion-v1-4 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - BigBri/sd-pokemon-model-lora These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. ...
[ -0.024614794179797173, -0.016372723504900932, -0.015102829784154892, 0.018502000719308853, 0.04617660120129585, -0.011305185966193676, 0.013550459407269955, -0.016076501458883286, -0.004658478312194347, 0.05709269642829895, 0.020710427314043045, -0.02213173359632492, 0.022204941138625145, ...
AnonymousSub/declutr-s10-SR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
36
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.0369739755988121, -0.00248139095492661, -0.00476257037371397, 0.02587212063372135, 0.045591775327920914, -0.02145388349890709, -0.0055389138869941235, -0.027804117649793625, -0.033073849976062775, 0.0666048601269722, 0.03227965533733368, -0.023752380162477493, 0.02276838943362236, 0.001...
AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- language: - zh - en tags: - glm - chatglm - thudm --- # ChatGLM-6B <p align="center"> 🌐 <a href="https://chatglm.cn/blog" target="_blank">Blog</a> • 💻 <a href="https://github.com/THUDM/ChatGLM-6B" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href...
[ -0.00755752669647336, -0.02469559758901596, -0.0038653535302728415, 0.04142579436302185, 0.04951298609375954, 0.013020306825637817, -0.021930620074272156, -0.0010191823821514845, -0.039398834109306335, 0.03925206884741783, 0.008944842964410782, -0.017603261396288872, 0.013924608007073402, ...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: mit tags: - generated_from_trainer model-index: - name: Gptdetect 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. --> # Gptdetect This model is a fine-...
[ -0.025168707594275475, -0.007601650897413492, -0.004432904068380594, 0.026076819747686386, 0.029172686859965324, 0.01811295934021473, -0.011565308086574078, -0.007046445272862911, -0.04223562777042389, 0.052678026258945465, 0.005036033224314451, -0.038974035531282425, 0.017171399667859077, ...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- tags: - generated_from_trainer metrics: - bleu model-index: - name: m2m100_pruned_ta-freeze100-finetuned-mcsw-to-en-smallmcswbitext results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.030956370756030083, 0.0016647380543872714, 0.0015711134765297174, 0.04712963104248047, 0.03237741440534592, 0.012234493158757687, -0.019405115395784378, 0.0024545686319470406, -0.049639489501714706, 0.042141273617744446, 0.004395748488605022, -0.0245205145329237, -0.0009747701114974916, ...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- license: creativeml-openrail-m language: - aa library_name: diffusers tags: - art pipeline_tag: text-to-image --- use to learn
[ -0.010296691209077835, -0.01983995921909809, -0.005855427123606205, 0.022085798904299736, 0.044166307896375656, 0.01228825468569994, -0.007773448247462511, -0.0024567528162151575, 0.002293406520038843, 0.046948883682489395, 0.017703410238027573, 0.008014722727239132, -0.00775888841599226, ...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: - cc-by-sa-4.0 inference: false tags: - ggml - causal-lm --- [StableLM-Base-Alpha 3B model card](https://huggingface.co/stabilityai/stablelm-base-alpha-3b)
[ -0.05693702772259712, 0.0031952012795954943, 0.008421098813414574, 0.02802376262843609, 0.04053140804171562, 0.012984522618353367, -0.014200241304934025, -0.004407994914799929, -0.028783760964870453, 0.045308150351047516, 0.053713273257017136, 0.0024053468368947506, 0.03396926447749138, 0....
AnonymousSub/rule_based_roberta_hier_quadruplet_0.1_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
2023-04-21T07:58:11Z
--- language: en license: mit library_name: timm tags: - image-classification - resnet34 - cifar100 datasets: cifar100 metrics: - accuracy model-index: - name: resnet34_simclr_cifar100 results: - task: type: image-classification dataset: name: CIFAR-100 type: cifar100 metrics: - type: ...
[ 0.006228999700397253, -0.026064075529575348, -0.019616182893514633, 0.023093976080417633, 0.04318239167332649, 0.00792327243834734, -0.002562473760917783, -0.017677487805485725, -0.030464740470051765, 0.061526138335466385, 0.010813510976731777, -0.0037533845752477646, -0.001518801087513566, ...
AnonymousSub/rule_based_roberta_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "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...
4
null
--- language: en license: mit library_name: timm tags: - image-classification - resnet50 - cifar10 datasets: cifar10 metrics: - accuracy model-index: - name: resnet50_simclr_cifar10 results: - task: type: image-classification dataset: name: CIFAR-10 type: cifar10 metrics: - type: accur...
[ 0.005290559958666563, -0.022430986166000366, -0.013688419945538044, 0.017691854387521744, 0.04087676480412483, 0.008663986809551716, -0.007242473307996988, -0.014453534968197346, -0.03097650781273842, 0.06290242075920105, 0.01254573930054903, -0.00141534220892936, -0.0009621166391298175, 0...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: en license: mit library_name: timm tags: - image-classification - resnet50 - cifar100 datasets: cifar100 metrics: - accuracy model-index: - name: resnet50_simclr_cifar100 results: - task: type: image-classification dataset: name: CIFAR-100 type: cifar100 metrics: - type: ...
[ 0.0067781731486320496, -0.022769104689359665, -0.01666421629488468, 0.019901279360055923, 0.04206705838441849, 0.007464961614459753, -0.004957091063261032, -0.01651618629693985, -0.030954640358686447, 0.06280428916215897, 0.011638352647423744, -0.003886415157467127, -0.001889025908894837, ...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0
[ "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...
4
null
--- license: openrail base_model: hf-internal-testing/tiny-stable-diffusion-pipe-no-safety tags: - art - controlnet - stable-diffusion - image-to-image ---
[ -0.03854220733046532, -0.011518707498908043, -0.013452522456645966, 0.0018723882967606187, 0.04167412221431732, 0.005312412977218628, 0.01206756941974163, 0.007610570173710585, -0.0158748347312212, 0.03702598065137863, 0.009772693738341331, 0.012865711003541946, 0.019824646413326263, 0.031...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
null
--- license: bsd datasets: - anon8231489123/ShareGPT_Vicuna_unfiltered language: - am metrics: - character library_name: diffusers tags: - art ---
[ -0.003206213703379035, -0.023522622883319855, -0.0012212262954562902, 0.0159531831741333, 0.03441710025072098, 0.01247900165617466, 0.015066293068230152, 0.010418065823614597, -0.016768332570791245, 0.043356526643037796, 0.030683202669024467, 0.022487137466669083, 0.03375831991434097, 0.05...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
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...
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AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_squad2.0
[ "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
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/gpl-e5-base-unsupervised-scifact-k10 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space an...
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: openrail --- # 本仓库为备份仓库,模型来源于网络 # 命令下载格式: git lfs clone https://huggingface.co/用户名/项目 (下载全部) aria2c https://huggingface.co/用户名/项目/resolve/main/目录/文件名 (下载单个文件)
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: - apache-2.0 inference: false tags: - ggml - causal-lm --- [Open-Assistant StableLM-7B SFT-7 model card](https://huggingface.co/OpenAssistant/stablelm-7b-sft-v7-epoch-3)
[ -0.05398569256067276, 0.005557519383728504, 0.003789756912738085, 0.01858474873006344, 0.03659956902265549, 0.020307285711169243, -0.016560427844524384, 0.013388249091804028, -0.032293546944856644, 0.03487945348024368, 0.04871314764022827, 0.011163124814629555, 0.03413723036646843, 0.00587...
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
null
--- tags: - conversational --- # Barry. B DialoGPT Model
[ -0.031816743314266205, 0.0346730574965477, 0.012167842127382755, 0.023006167262792587, 0.005658810026943684, 0.019439779222011566, -0.010778568685054779, 0.030518893152475357, -0.008715479634702206, 0.010225584730505943, 0.035395652055740356, -0.030585890635848045, 0.010136991739273071, 0....
AnonymousSub/specter-emanuals-model
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2023-04-21T09:28:14Z
--- license: mit --- Trigger Words:ICONSMI <br/> url:https://civitai.com/models/93?modelVersionId=105
[ -0.040292344987392426, -0.01694997400045395, -0.00021883366571273655, 0.004379496444016695, 0.030021797865629196, 0.007502855733036995, 0.017900971695780754, 0.012104174122214317, -0.03417915105819702, 0.04524550959467888, 0.04000735282897949, 0.011959798634052277, 0.045757099986076355, 0....
AnonymousSub/unsup-consert-base
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: finetuning-sentiment-model-3000-samples 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. --...
[ -0.03038526326417923, -0.009085812605917454, -0.024472663179039955, 0.0354502908885479, 0.037176214158535004, 0.03353721275925636, -0.00806859415024519, -0.007374318316578865, -0.05314004421234131, 0.059559036046266556, 0.038768965750932693, -0.023564813658595085, 0.024516435340046883, 0.0...
AnonymousSub/unsup-consert-base_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- library_name: ml-agents tags: - SoccerTwos - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-ag...
[ -0.019148051738739014, -0.007618166971951723, 0.01239103451371193, 0.03664086014032364, 0.031821850687265396, 0.013060459867119789, -0.03155510500073433, -0.009210240095853806, -0.01204074639827013, 0.06003948301076889, 0.011801009997725487, -0.003406898584216833, 0.009688980877399445, 0.0...
AnonymousSub/unsup-consert-emanuals
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
# `vocabtrimmer/xlm-v-base-xnli-de` This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the [xnli](https://huggingface.co/datasets/xnli) (de). Following metrics are computed on the `test` split of [xnli](https://huggingface.co/datasets/xnli)(de). | | eval...
[ -0.028078995645046234, -0.00937442947179079, 0.017774926498532295, 0.000530358636751771, 0.008986459113657475, 0.00983867421746254, -0.010106336325407028, -0.021282508969306946, -0.04735221341252327, 0.04534536227583885, 0.046296633780002594, -0.048607271164655685, 0.013818052597343922, 0....
AnonymousSubmission/pretrained-model-1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - spacy - token-classification language: - en model-index: - name: en_pipeline results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9516472935 - name: NER Recall type: recall value: 0.9483207676 - ...
[ 0.005118099506944418, -0.012871269136667252, -0.013430370017886162, 0.0330832339823246, 0.05724578723311424, 0.023544421419501305, -0.031142080202698708, -0.007837357930839062, -0.04265541955828667, 0.05467186123132706, 0.0375695675611496, 0.0045301285572350025, 0.00938231311738491, 0.0417...
Anorak/nirvana
[ "pytorch", "pegasus", "text2text-generation", "unk", "dataset:Anorak/autonlp-data-Niravana-test2", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
7
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05148807168006897, -0.001363960443995893, -0.003585623810067773, 0.049602705985307693, 0.02424457110464573, 0.030499989166855812, -0.011054492555558681, -0.023352904245257378, -0.00326828146353364, 0.05080440267920494, 0.02527342364192009, -0.012845471501350403, 0.008932373486459255, 0....
Anthos23/my-awesome-model
[ "pytorch", "tf", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
null
--- license: creativeml-openrail-m --- https://civitai.com/models/43860/girls-frontline-zas-m21
[ -0.05375964567065239, -0.017882520332932472, -0.018242022022604942, 0.037576280534267426, 0.04930131882429123, 0.03148605301976204, -0.0048111178912222385, 0.010195103473961353, -0.02840324491262436, 0.034849703311920166, 0.05175049230456352, -0.00044185412116348743, 0.029038649052381516, ...
Anthos23/test_trainer
[]
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: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
Apoorva/k2t-test
[ "pytorch", "t5", "text2text-generation", "en", "transformers", "keytotext", "k2t", "Keywords to Sentences", "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...
7
2023-04-21T10:28:20Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016490155830979347, -0.017277734354138374, -0.006659391336143017, 0.02953225187957287, 0.05218440294265747, -0.01737247407436371, -0.012302082031965256, -0.009880525059998035, -0.05912364274263382, 0.054780229926109314, -0.001932390732690692, -0.00971195288002491, 0.025233924388885498, ...
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
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
[ -0.04165930300951004, 0.013767072930932045, 0.014680317603051662, 0.020079348236322403, 0.049064941704273224, -0.013140318915247917, -0.019706469029188156, -0.02906765043735504, -0.017518673092126846, 0.06478244811296463, 0.036063291132450104, -0.007872162386775017, 0.008188777603209019, -...
Aravinth/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.040011633187532425, -0.01642911322414875, -0.016189897432923317, 0.03647405281662941, 0.04873468726873398, -0.004918139893561602, -0.013784215785562992, -0.024670643731951714, -0.029970066621899605, 0.05386190116405487, 0.022602099925279617, -0.03246593475341797, 0.019145041704177856, 0...
Arnold/wav2vec2-hausa2-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
9
null
--- datasets: - GreeneryScenery/SheepsDiffusionNet - poloclub/diffusiondb pipeline_tag: image-to-image tags: - art - ControlNet --- # V8 Similar to V7. 🤗 Try it [here](https://replicate.com/greeneryscenery/sheeps-controlnet-sketch-2-image) <img src = 'https://huggingface.co/GreeneryScenery/SheepsControlV7/resolve/ma...
[ -0.013907580636441708, -0.0016466870438307524, 0.017664004117250443, 0.002355517353862524, 0.056076936423778534, -0.012839498929679394, -0.011521772481501102, -0.003838304663076997, -0.017104223370552063, 0.05617336183786392, 0.018152868375182152, 0.0009391895728185773, 0.017228644341230392,...
Arnold/wav2vec2-large-xlsr-hausa2-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- language: - hi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Small Hi - Sanchit Gandhi results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access ...
[ -0.030380602926015854, -0.007255098782479763, -0.0316036120057106, 0.031228384003043175, 0.047229837626218796, 0.010731609538197517, -0.01595541276037693, 0.013238099403679371, -0.02342444285750389, 0.06513583660125732, 0.04346673935651779, -0.010479210875928402, 0.02463899366557598, 0.032...
ArshdeepSekhon050/DialoGPT-medium-RickAndMorty
[]
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: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-finetuned-amazon-en-es results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.021427661180496216, -0.0023227925412356853, 0.010198915377259254, 0.02667826972901821, 0.04046858847141266, -0.0028039400931447744, -0.02736741676926613, -0.00635073147714138, -0.04432766139507294, 0.05241750553250313, 0.024595335125923157, -0.024297436699271202, 0.010787950828671455, 0...
Ashim/dga-transformer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: other --- # 聲明 Disclaimer 本資料夾中的模型不是我所製作,版權歸原作者所有(各模型版權詳見 http://www.civitai.com 所示)。我上傳至本資料夾僅爲方便在綫抽取資源,并非盈利。 The models in this folder are not made by me, and the copyright belongs to the original author (see http://www.civitai.com for details on the copyright of each model). I uploaded to this folder o...
[ -0.03673335909843445, -0.029386933892965317, 0.006606969982385635, 0.014041929505765438, 0.027880126610398293, 0.0020180020947009325, -0.006743443198502064, -0.03110508993268013, -0.05382741987705231, 0.042347025126218796, 0.03456053137779236, -0.012488356791436672, 0.03827030956745148, 0....
Ashl3y/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - openvino --- # xlm-roberta-large-finetuned-conll03-english This is the [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do i...
[ -0.03594724088907242, -0.022636830806732178, 0.010220891796052456, 0.01993432268500328, 0.023278845474123955, 0.009258591569960117, -0.03469737246632576, -0.016895128414034843, -0.02397334575653076, 0.05396554246544838, 0.01636403053998947, -0.001858520437963307, -0.016649048775434494, 0.0...
Ateeb/asd
[]
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
2023-04-21T13:30:33Z
--- license: cc-by-4.0 language: - en tags: - ' ANIME' - ' CHARACTER' - PHOTOREALISTIC --- ***All in one*** This model gives you the ability to create whatever you want.</br> Attention, the model requires VAE from Stability AI: vae-ft-ema-560000</br> or you can use VAE from Stability AI: vae-ft-mse-840000</br> ****Wh...
[ 0.0008298661559820175, -0.01037207804620266, 0.00040811020880937576, 0.018174586817622185, 0.05501222237944603, 0.014301563613116741, 0.030682872980833054, -0.015843156725168228, -0.022389661520719528, 0.05574258416891098, 0.03971921652555466, -0.01753196306526661, 0.02463418059051037, 0.0...
Augustvember/WokkaBot
[]
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
2023-04-21T13:36:56Z
--- license: mit tags: - generated_from_trainer model-index: - name: xmlRoberta_Ger 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. --> # xmlRoberta_Ger This model ...
[ -0.03319577872753143, -0.004861823748797178, -0.01428686548024416, 0.0343061164021492, 0.02527271769940853, 0.0461384616792202, -0.014220812357962132, -0.012280761264264584, -0.03733464702963829, 0.05905477702617645, 0.0461152009665966, -0.03505264222621918, 0.0036701171193271875, 0.044316...
Augustvember/WokkaBot6
[]
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
2023-04-21T13:44:59Z
--- license: creativeml-openrail-m pipeline_tag: text-to-image tags: - ' stable-diffusion' - ' stable-diffusion-diffusers ' --- # MechaDream ### A Stable Diffusion model for Mecha ![banner](./statics/banner.png) --- ## Available Models ### MechaDream-V1_lora **Base model:** Counterfeit-V2.5 **The Road to this Lora**...
[ -0.013850649818778038, -0.007103340234607458, -0.021203435957431793, 0.027017034590244293, 0.06403747946023941, 0.016959691420197487, 0.00476080272346735, -0.004914268851280212, -0.013974020257592201, 0.057625893503427505, 0.036590252071619034, -0.0044342391192913055, -0.021394284442067146, ...
Augustvember/wokka
[ "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
Access to model nuljon/hugbface is restricted and you are not in the authorized list. Visit https://huggingface.co/nuljon/hugbface to ask for access.
[ -0.05408063903450966, -0.008411720395088196, -0.005452459678053856, 0.03162462264299393, 0.030586160719394684, 0.01777823083102703, -0.015224662609398365, -0.014453633688390255, -0.03012566827237606, 0.029272276908159256, 0.03375203162431717, -0.004967132583260536, -0.0043553696013987064, ...
Augustvember/wokka2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
Access to model estrategista/livro is restricted and you are not in the authorized list. Visit https://huggingface.co/estrategista/livro to ask for access.
[ -0.027736496180295944, 0.013495195657014847, 0.022842083126306534, 0.011125613003969193, 0.0632847249507904, -0.006226133089512587, -0.00024150166427716613, -0.0036159697920084, -0.034424591809511185, 0.03953145071864128, 0.0408015213906765, -0.027608972042798996, 0.00630616769194603, 0.03...