modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
CleveGreen/JobClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 27 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Regression_albert_9_with_translation
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... | [
-0.010822135023772717,
-0.0035670804791152477,
-0.010786538012325764,
0.0481572188436985,
0.037542130798101425,
0.00012149383110227063,
-0.015905722975730896,
-0.020473554730415344,
-0.04610288888216019,
0.05457863584160805,
0.015919584780931473,
-0.03784126415848732,
0.008772926405072212,
... |
CodeDanCode/CartmenBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | 2023-04-02T06:31:53Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03682786226272583,
-0.017038146033883095,
-0.016540275886654854,
0.0510595329105854,
0.01117929257452488,
0.04447409510612488,
-0.01840854622423649,
-0.002739659510552883,
-0.070090651512146,
0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
CodeDanCode/SP-KyleBot | [
"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... | 15 | 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
... | [
-0.03987332805991173,
-0.0164706502109766,
-0.01590094342827797,
0.03615982085466385,
0.04881909489631653,
-0.004952812567353249,
-0.013193579390645027,
-0.02559400349855423,
-0.03144150599837303,
0.055076420307159424,
0.023295368999242783,
-0.03348074108362198,
0.019206734374165535,
0.014... |
Venkatakrishnan-Ramesh/Text_gen | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bertbase-uncased-2-actual
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this ... | [
-0.0207683052867651,
0.003757165279239416,
-0.02661808393895626,
0.047788601368665695,
0.03182455152273178,
0.01827794872224331,
-0.006772135850042105,
-0.02222750522196293,
-0.041207682341337204,
0.048833828419446945,
0.025316666811704636,
-0.017268002033233643,
0.006039947737008333,
0.04... |
CogComp/bart-faithful-summary-detector | [
"pytorch",
"jax",
"bart",
"text-classification",
"en",
"dataset:xsum",
"transformers",
"xsum",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BartForSequenceClassification"
],
"model_type": "bart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": 1,
"max_length": 128,
"min_length": 12,
"no_repeat_ng... | 234 | 2023-04-02T07:16:18Z | ---
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... | [
-0.02691693976521492,
-0.04006586968898773,
0.011381876654922962,
0.045250147581100464,
0.015049230307340622,
0.014660416170954704,
-0.004230934660881758,
0.014210783876478672,
-0.043417979031801224,
0.06270168721675873,
0.02515537664294243,
-0.030059905722737312,
0.03254760801792145,
0.02... |
CogComp/roberta-temporal-predictor | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.00436",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 14 | null | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
tags:
- stable-diffusion
---
# Dash Stable Diffusion Mix
This is a custom merge model of Stable Diffusion 1.5 with focus on realism.
----
# Sample
![](https://s3.amazonaws.com/moonup/production/uploads/638bf06ed274cbbad28448b0/jyiD8UbT7fUqHb... | [
-0.0192410945892334,
-0.02038636803627014,
-0.00531044602394104,
0.03179231658577919,
0.03988080844283104,
0.0007287501939572394,
0.013759979046881199,
-0.00130700774025172,
-0.02639377862215042,
0.06070316210389137,
0.024016736075282097,
-0.009612839668989182,
0.013297281228005886,
0.0557... |
CohleM/bert-nepali-tokenizer | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-04-02T07:18:18Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-thainew-mlm
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-b... | [
-0.04774068668484688,
-0.002602679654955864,
-0.005697374697774649,
0.025624053552746773,
0.03343515843153,
0.033243969082832336,
-0.02974540926516056,
-0.013230000622570515,
-0.030025791376829147,
0.04957571625709534,
0.026431988924741745,
-0.04935675859451294,
0.0018512529786676168,
0.03... |
CohleM/mbert-nepali-tokenizer | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rew... | [
-0.029807506129145622,
0.019034026190638542,
0.005308631341904402,
0.009276989847421646,
0.04453130066394806,
-0.01890845224261284,
-0.02233903482556343,
-0.014218106865882874,
-0.029247649013996124,
0.08463586121797562,
0.018464678898453712,
-0.00794339831918478,
0.017813237383961678,
0.0... |
ComCom/gpt2-large | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
"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... | 1 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### kpop-lisa-sks-10000 Dreambooth model trained by Thuong with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 ... | [
-0.021883677691221237,
-0.023580031469464302,
-0.024060368537902832,
0.04373594745993614,
0.005098233465105295,
0.01762327551841736,
0.002407950349152088,
0.014224579557776451,
-0.02616271562874317,
0.04102248698472977,
0.03344181552529335,
-0.008647319860756397,
-0.01273361872881651,
0.02... |
ComCom/gpt2-medium | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
"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... | 5 | 2023-04-02T07:30:45Z | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
args: rte
metrics:
- name: Accuracy
type: acc... | [
0.0035671228542923927,
-0.024353930726647377,
0.008788547478616238,
0.030192214995622635,
0.07543203234672546,
0.012297877110540867,
-0.026048259809613228,
-0.03393673524260521,
-0.038489606231451035,
0.07022319734096527,
0.007829529233276844,
-0.012242184020578861,
0.009869430214166641,
0... |
ComCom/gpt2 | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
"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... | 1 | null | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- livedoor_news_corpus
model-index:
- name: t5-base-japanese-finetuned-livedoor_news_corpus
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | [
-0.04268944635987282,
-0.04566773772239685,
0.00818067416548729,
0.04005967080593109,
0.02881077490746975,
0.015239627100527287,
0.01173750776797533,
-0.009195009246468544,
-0.028354626148939133,
0.05465639755129814,
0.03360644727945328,
-0.004689738620072603,
0.010111670941114426,
0.02326... |
cometrain/neurotitle-rugpt3-small | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"en",
"dataset:All-NeurIPS-Papers-Scraper",
"transformers",
"Cometrain AutoCode",
"Cometrain AlphaML",
"license:mit"
] | 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... | 20 | 2023-04-02T07:37:59Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Nulaurev Dreambooth model trained by Fred99774 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [f... | [
-0.02823459543287754,
-0.010960109531879425,
-0.02359132282435894,
0.028459060937166214,
0.035724326968193054,
0.012874043546617031,
0.0009753052145242691,
-0.0026643762830644846,
-0.019488157704472542,
0.03473778814077377,
0.03973061218857765,
0.010600635781884193,
-0.03013879805803299,
0... |
Connorvr/BrightBot-small | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | 2023-04-02T07:40:18Z |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squad
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic... | [
0.007680627051740885,
-0.00765785900875926,
-0.006672981195151806,
0.03099680133163929,
0.0345914363861084,
0.020252129063010216,
-0.026681136339902878,
0.0013491878053173423,
-0.04013591259717941,
0.03632679954171181,
0.02300208806991577,
-0.0034557671751827,
0.0033046058379113674,
0.0300... |
Connorvr/TeachingGen | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | 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... | 4 | 2023-04-02T07:40:56Z | ---
tags:
- conversational
---
# Genshin Impact Paimon DialoGPT Model | [
-0.026085656136274338,
0.00613535288721323,
0.016382521018385887,
0.015279177576303482,
0.023070203140378,
0.005932523403316736,
0.02068549580872059,
0.015541781671345234,
-0.016516026109457016,
0.029714953154325485,
0.03669310733675957,
-0.01434803195297718,
0.022687764838337898,
0.021768... |
Contrastive-Tension/BERT-Base-CT-STSb | [
"pytorch",
"tf",
"jax",
"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... | 5 | 2023-04-02T07:45:57Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-large-finetuned-augument-visquad2-2-4-2023-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... | [
-0.023079583421349525,
-0.000004022908797196578,
-0.005285782739520073,
0.017759094014763832,
0.02683407813310623,
0.009423046372830868,
-0.03915708512067795,
-0.035485830157995224,
-0.014932051301002502,
0.03613796457648277,
0.029351381585001945,
-0.0266560111194849,
0.011979243718087673,
... |
Contrastive-Tension/BERT-Base-CT | [
"pytorch",
"tf",
"jax",
"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... | 16 | 2023-04-19T09:11:21Z | ---
datasets:
- Akajackson/donut_synthdog_rus
language:
- ru
- en
---
## Описание модели
Модель Donut (end-to-end transformer) для распознавания текстов на русском языке.
https://github.com/clovaai/donut
Для обучения сгенерирован датасет SynthDoG из 100тыс изображений, с текстами, взятыми из произведений русской л... | [
-0.042807742953300476,
-0.010086732916533947,
0.0061582294292747974,
0.041029054671525955,
0.05333391949534416,
0.01955854333937168,
-0.019621938467025757,
-0.018602577969431877,
-0.0489862784743309,
0.05630052089691162,
0.04423394054174423,
-0.02788662351667881,
-0.009508105926215649,
0.0... |
Contrastive-Tension/BERT-Base-Swe-CT-STSb | [
"pytorch",
"tf",
"jax",
"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... | 126 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: juro95/xlm-roberta-finetuned-ner-recleaned_cased_0.5
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 comm... | [
-0.027682950720191002,
-0.009057963266968727,
0.010089123621582985,
0.021051377058029175,
0.030543554574251175,
0.01986466534435749,
-0.025052456185221672,
-0.027521895244717598,
-0.037565913051366806,
0.05660942941904068,
0.0182648953050375,
-0.042897969484329224,
0.01988137885928154,
0.0... |
Contrastive-Tension/BERT-Distil-NLI-CT | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 6 | 2023-04-02T07:56:43Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-clang8-e1-b16
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... | [
-0.022301651537418365,
-0.016770698130130768,
-0.0013340525329113007,
0.04361388832330704,
0.03595800697803497,
-0.015409543178975582,
-0.01723630540072918,
-0.016057563945651054,
-0.028882700949907303,
0.03449235111474991,
0.015943143516778946,
-0.023601653054356575,
-0.00007155167259043083... |
Contrastive-Tension/BERT-Large-CT | [
"pytorch",
"tf",
"jax",
"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 | 2023-04-02T07:58:58Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-newVersion_Jhon_Wick
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. -... | [
-0.02200932987034321,
-0.0035226985346525908,
-0.005877959541976452,
0.03308578580617905,
0.035160209983587265,
0.007717242930084467,
-0.020689835771918297,
-0.020862355828285217,
-0.02283642627298832,
0.04728806018829346,
0.015399297699332237,
-0.03656816482543945,
-0.002855728380382061,
... |
Contrastive-Tension/BERT-Large-NLI-CT | [
"pytorch",
"tf",
"jax",
"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... | 15 | 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
... | [
-0.04574061930179596,
-0.000620795413851738,
-0.021771544590592384,
0.03253389149904251,
0.04328875243663788,
0.017779383808374405,
-0.01806659810245037,
-0.030635854229331017,
-0.037587471306324005,
0.06912805885076523,
0.022394079715013504,
0.0033367429859936237,
0.014741388149559498,
0.... |
Cooker/cicero-similis | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: wav2vec2-base-random-stopvoicing-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remo... | [
-0.0467713326215744,
-0.01564713753759861,
-0.000311806594254449,
0.03972311317920685,
0.034251127392053604,
0.006272212602198124,
0.0080563984811306,
-0.012834697961807251,
-0.018297653645277023,
0.05069202184677124,
0.02581523172557354,
-0.025894902646541595,
0.011530859395861626,
0.0404... |
Coolhand/Abuela | [
"en",
"image_restoration",
"superresolution",
"license:mit"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST-2
type: glue
args: SST-2
metrics:
- name: Accuracy
type... | [
0.00014593606465496123,
-0.029572265222668648,
0.002282136119902134,
0.029267460107803345,
0.0760829821228981,
0.010761034674942493,
-0.02724490314722061,
-0.029131650924682617,
-0.03651735186576843,
0.0678461566567421,
0.009743335656821728,
-0.00030188917298801243,
0.010715971700847149,
0... |
Corvus/DialoGPT-medium-CaptainPrice | [
"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... | 7 | 2023-04-02T08:15:25Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-BART-all-categories
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. -->
# finet... | [
-0.025260962545871735,
0.00011608611384872347,
-0.0207513440400362,
0.04783390462398529,
0.0237912405282259,
0.036568790674209595,
-0.01959392800927162,
-0.00333521724678576,
-0.025467753410339355,
0.055028412491083145,
0.04356549307703972,
-0.004060391336679459,
0.03278302028775215,
0.032... |
CouchCat/ma_ner_v7_distil | [
"pytorch",
"distilbert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 13 | null | Access to model ajipon/Ray is restricted and you are not in the authorized list. Visit https://huggingface.co/ajipon/Ray to ask for access. | [
-0.03858539089560509,
-0.003327567595988512,
-0.0005138705018907785,
0.036118973046541214,
0.043886881321668625,
-0.008568947203457355,
-0.0020506710279732943,
-0.010002270340919495,
-0.04730347543954849,
0.04020403325557709,
0.05187467113137245,
0.003203673055395484,
0.009826318360865116,
... |
Coyotl/DialoGPT-test2-arthurmorgan | [
"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... | 7 | null | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNI
type: glue
args: mnli
metrics:
- name: Accuracy
type: a... | [
-0.009826245717704296,
-0.021966176107525826,
0.002551129786297679,
0.039188701659440994,
0.06640174984931946,
0.015163813717663288,
-0.027865439653396606,
-0.03661762550473213,
-0.032653771340847015,
0.06141575053334236,
0.02162608504295349,
-0.005602362100034952,
0.014384976588189602,
0.... |
CracklesCreeper/Piglin-Talks-Harry-Potter | [
"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 | 2023-04-02T08:34:22Z | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base-finetuned-qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
args: qqp
metrics:
- name: Accuracy
type: acc... | [
0.0048399860970675945,
-0.02301468327641487,
0.006823129020631313,
0.03609335049986839,
0.07411786168813705,
-0.0064720031805336475,
-0.01038293819874525,
-0.020409882068634033,
-0.035041071474552155,
0.04713975265622139,
0.005088454112410545,
-0.00614267447963357,
0.009825109504163265,
0.... |
Crasher222/kaggle-comp-test | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Crasher222/autonlp-data-kaggle-test",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 29 | 2023-04-02T08:44:38Z | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
- name: Accuracy
type: ... | [
-0.006695966236293316,
-0.026475215330719948,
0.0025287496391683817,
0.03072267211973667,
0.07992994040250778,
0.008708483539521694,
-0.018721289932727814,
-0.027430696412920952,
-0.03360360860824585,
0.07062125205993652,
0.0217722337692976,
-0.001119930762797594,
0.009436470456421375,
0.0... |
CrayonShinchan/bart_fine_tune_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 | **Train-Test Set:** "teknofest_train_final.csv"
**Model:** "dbmdz/bert-base-turkish-128k-uncased"
**Önişleme**
- Büyük karakterler öncesine special token (#) eklenip sonrasında karakterler küçültülmüştür
- Noktalama işaretleri silinmiştir
## Tokenizer Parametreleri
```
max_length=64
padding=True
truncation=True
``... | [
-0.007087149191647768,
-0.010629406198859215,
-0.013705093413591385,
0.04622071236371994,
0.042762622237205505,
0.028315745294094086,
-0.01614876091480255,
-0.0019551084842532873,
-0.04947465658187866,
0.06546621769666672,
0.013556012883782387,
-0.011885362677276134,
0.012459538877010345,
... |
CrayonShinchan/fine_tune_try_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 | 2023-04-02T08:46:20Z | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: output
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. -->
# ou... | [
-0.01396640483289957,
-0.013126662001013756,
0.005396938882768154,
0.0381925143301487,
0.0281982421875,
0.013528118841350079,
-0.014523045159876347,
-0.030894914641976357,
-0.03227473795413971,
0.04306849092245102,
0.01597532071173191,
-0.0377444326877594,
0.007092516869306564,
0.040940608... |
Crisblair/Wkwk | [] | 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 | 2023-04-02T08:50:36Z | ---
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
... | [
-0.03974952921271324,
-0.016351278871297836,
-0.014419907703995705,
0.0360238142311573,
0.04825999587774277,
-0.005269748158752918,
-0.013008181005716324,
-0.024821219965815544,
-0.03073791041970253,
0.05361182987689972,
0.023507116362452507,
-0.03149164840579033,
0.01921013370156288,
0.01... |
Crispy/dialopt-small-kratos | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
license: mit
language:
- ru
tags:
- PyTorch
- Transformers
---
# BERT base model for pair ranking (reward model for RLHF) in Russian language.
For training i use the next [pair-ranking-loss](https://pytorch.org/docs/stable/generated/torch.nn.MarginRankingLoss.html)
Model based on [ruBert-base](https://huggingfac... | [
-0.03516337648034096,
-0.014333588071167469,
0.015901127830147743,
0.04246347025036812,
0.014181944541633129,
0.019749047234654427,
-0.03173745051026344,
-0.00799147691577673,
-0.061652909964323044,
0.04871048778295517,
0.024522045627236366,
-0.01002870686352253,
0.009176250547170639,
0.05... |
DSI/personal_sentiment | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | 2023-04-02T10:51:21Z | ---
language:
- en
license: apache-2.0
datasets:
- glue
metrics:
- accuracy
model-index:
- name: gpt2-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
args: wnli
metrics:
- name: Accuracy
type: acc... | [
-0.01259649358689785,
-0.02123417891561985,
-0.011026700958609581,
0.05779096484184265,
0.06879304349422455,
0.016064442694187164,
0.00656878761947155,
0.0036392221227288246,
-0.03642311692237854,
0.05027509480714798,
0.0015486414777114987,
-0.004662852734327316,
0.006394451949745417,
0.03... |
alexandrainst/da-hatespeech-detection-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 1,719 | null | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- billster45/autotrain-data-imdb-sentiment
co2_eq_emissions:
emissions: 1.6951829788409294
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 45954114684
- CO2 Emissions (in ... | [
-0.01484113372862339,
-0.020542431622743607,
-0.015625296160578728,
0.036186181008815765,
0.03607059642672539,
0.03862632438540459,
-0.03471715375781059,
-0.012940244749188423,
-0.049613140523433685,
0.0766570046544075,
0.024363301694393158,
0.019742369651794434,
-0.0027897506952285767,
0.... |
Daivakai/DialoGPT-small-saitama | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: news-summarization-argilla
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... | [
-0.021748561412096024,
-0.01925332471728325,
-0.009061623364686966,
0.041715290397405624,
0.05403844267129898,
-0.00323814176954329,
-0.01695859804749489,
-0.015500938519835472,
-0.03829433023929596,
0.0667511597275734,
0.013321870006620884,
-0.032300643622875214,
0.006629738491028547,
0.0... |
Darkrider/covidbert_medmarco | [
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:2010.05987",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 35 | 2023-04-02T12:02:53Z | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: juro95/xlm-roberta-finetuned-ner-recleaned_cased_0.3
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 comm... | [
-0.029661158099770546,
-0.010267564095556736,
0.00970468670129776,
0.017083818092942238,
0.03277275711297989,
0.019528372213244438,
-0.02415008656680584,
-0.027904363349080086,
-0.034498997032642365,
0.055280379951000214,
0.01915844716131687,
-0.04434807226061821,
0.02000841684639454,
0.03... |
Declan/CNN_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-xsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-fi... | [
-0.017203330993652344,
-0.00705966679379344,
0.011959509924054146,
0.018391601741313934,
0.02451935224235058,
0.010333439335227013,
-0.022403977811336517,
-0.007268474902957678,
-0.028653714805841446,
0.04505867511034012,
0.04794878140091896,
0.00240577501244843,
0.0064921448938548565,
0.0... |
Declan/ChicagoTribune_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
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
... | [
-0.03737133741378784,
-0.002829210599884391,
-0.005012452136725187,
0.02548728697001934,
0.045755885541439056,
-0.021805040538311005,
-0.005102623254060745,
-0.028026064857840538,
-0.033250004053115845,
0.06661155074834824,
0.03269568085670471,
-0.02353615127503872,
0.022357255220413208,
0... |
Declan/FoxNews_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: prueba5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... | [
-0.02140129543840885,
0.0035433487500995398,
0.0016306407051160932,
0.030055247247219086,
0.034786615520715714,
0.02248821035027504,
0.0026151267811656,
-0.008756433613598347,
-0.020738212391734123,
0.037390273064374924,
0.020093049854040146,
-0.02709914557635784,
-0.002937996992841363,
0.... |
Declan/FoxNews_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: openrail
---
# Kaiyo Mixes
I'm new to using hugging face so this will act as a repository for some of my merged models.
Attached is the Notion page where I document my recipes for each model and some example images.
https://kaiyo.notion.site/Personal-Models-f5c0aff01eab48869699b958a66e4501
Please note ... | [
-0.06139301136136055,
-0.010084278881549835,
0.027500659227371216,
0.009265223518013954,
0.01844508945941925,
0.023925475776195526,
0.0035990832839161158,
0.0009794490179046988,
-0.00632229121401906,
0.05175404250621796,
0.020263565704226494,
0.016067728400230408,
0.03773396089673042,
0.04... |
Declan/HuffPost_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: turkish-rte-2
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. -->
# turkish-rte-2
This model i... | [
-0.022004419937729836,
-0.012332819402217865,
-0.0008853265317156911,
0.04314623028039932,
0.029794655740261078,
0.021400846540927887,
-0.009882740676403046,
-0.011741068214178085,
-0.03883781656622887,
0.05938974395394325,
0.00697029335424304,
-0.040014784783124924,
0.009858612902462482,
... |
Declan/NPR_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
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... | [
-0.018162304535508156,
-0.006184977944940329,
0.011844559572637081,
0.03471019119024277,
0.031016407534480095,
0.014255479909479618,
-0.0324198417365551,
-0.00815326813608408,
-0.011461314745247364,
0.060992512851953506,
0.011507195420563221,
-0.002844991162419319,
0.010164632461965084,
0.... |
Declan/NPR_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: unknown
---
Model generated by Diffusers Fine-tuning Example at https://huggingface.co/docs/diffusers/training/text2image | [
-0.019529497250914574,
-0.03196834772825241,
0.007270341273397207,
0.011357530951499939,
0.04805319011211395,
-0.002413536421954632,
-0.009368346072733402,
0.010348339565098286,
-0.026822932064533234,
0.04688112810254097,
0.02558659203350544,
0.03457290679216385,
0.024688076227903366,
0.04... |
Declan/NewYorkPost_model_v1 | [] | 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:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: cartpole-0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rewar... | [
-0.03301673382520676,
0.016679389402270317,
0.0005308938561938703,
0.009741339832544327,
0.04574517533183098,
-0.017811302095651627,
-0.023375878110527992,
-0.0190424807369709,
-0.03180989623069763,
0.0848488062620163,
0.017879437655210495,
-0.009955989196896553,
0.012994319200515747,
0.01... |
Declan/Reuters_model_v2 | [
"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 | 2023-04-02T16:32:33Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-IndoNLI-Basic-with-indobert-base-uncased-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | [
-0.02289336919784546,
-0.0027455217204988003,
-0.009159110486507416,
0.013187084347009659,
0.033034324645996094,
0.007877938449382782,
-0.02589583396911621,
-0.01845978945493698,
-0.04199922829866409,
0.060071174055337906,
0.012147167697548866,
-0.05980881676077843,
0.03116636909544468,
0.... |
Declan/Reuters_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.04965826869010925,
-0.016116628423333168,
-0.008964108303189278,
0.03616553172469139,
0.040793370455503464,
0.003161471802741289,
-0.021252531558275223,
-0.010362012311816216,
-0.03819621726870537,
0.05703254044055939,
0.024739926680922508,
-0.003034053836017847,
0.03166383504867554,
0.... |
Declan/Reuters_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-IndoNLI-Translated-with-indobert-base-uncased-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | [
-0.021468566730618477,
-0.005663591902703047,
-0.009194173850119114,
0.019880782812833786,
0.036075409501791,
0.005113689228892326,
-0.023715397343039513,
-0.021808495745062828,
-0.047619301825761795,
0.06487992405891418,
0.008389684371650219,
-0.06190360710024834,
0.02868945337831974,
0.0... |
Declan/test_model | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
language:
- en
tags:
- NoSleep
- Reddit
- Story
- Horror
widget:
- text: "[WP] \""
example_title: "[WP] "
datasets:
- chloeliu/reddit_nosleep_posts
---
# "NoSleep" Writing Prompt Generator
Finetuned version of [GPT2](https://huggingface.co/gpt2) to facilitate generation of Writing Prompts for the [G... | [
-0.01966739445924759,
-0.015885617583990097,
0.0054952604696154594,
0.050191305577754974,
0.04733968898653984,
0.034019436687231064,
0.006270885933190584,
-0.019971728324890137,
-0.04496118053793907,
0.060210201889276505,
0.054158858954906464,
0.010054852813482285,
-0.014499281533062458,
0... |
Declan/test_push | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | # Vocabulary Trimmed [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25): `vocabtrimmer/mbart-large-cc25-trimmed-ja`
This model is a trimmed version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimme... | [
-0.011474004946649075,
-0.020846445113420486,
-0.021549245342612267,
0.04295983910560608,
0.020552221685647964,
0.009276838973164558,
-0.012744810432195663,
-0.003346347948536277,
-0.04279489815235138,
0.057549137622117996,
0.029795629903674126,
-0.024573680013418198,
0.029876520857214928,
... |
DeepBasak/Slack | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-IndoNLI-Translated-with-xlm-roberta-large-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... | [
-0.022419756278395653,
0.002532361773774028,
0.005535167176276445,
0.0217589084059,
0.03916166350245476,
0.004034580197185278,
-0.022281493991613388,
-0.026751352474093437,
-0.03394383564591408,
0.06236173212528229,
0.0159856416285038,
-0.05391423776745796,
0.023031558841466904,
0.04477283... |
DeepChem/ChemBERTa-10M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 90 | null | ---
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_STTS2_folk_normal_orth
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9379513783
---
## de_STTS2_folk_normal_orth tagger
This is a spaC... | [
-0.021442323923110962,
-0.026311926543712616,
-0.013503169640898705,
0.05132058635354042,
0.0407366007566452,
0.034657202661037445,
-0.021218348294496536,
0.007546968758106232,
-0.04792767018079758,
0.06985551118850708,
0.03413168713450432,
0.01518256776034832,
-0.0118636479601264,
0.04007... |
DeepChem/ChemBERTa-10M-MTR | [
"pytorch",
"roberta",
"arxiv:1910.09700",
"transformers"
] | null | {
"architectures": [
"RobertaForRegression"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ng... | 708 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-IndoNLI-Augmented-with-xlm-roberta-large-LR-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | [
-0.02317582443356514,
0.004797879606485367,
0.004734680987894535,
0.012388555333018303,
0.037070054560899734,
0.004881998989731073,
-0.027257554233074188,
-0.029109828174114227,
-0.023301105946302414,
0.06107853353023529,
0.0205201655626297,
-0.04977604001760483,
0.02715412713587284,
0.041... |
DeepChem/ChemBERTa-77M-MTR | [
"pytorch",
"roberta",
"transformers"
] | null | {
"architectures": [
"RobertaForRegression"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ng... | 7,169 | null | # Vocabulary Trimmed [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25): `vocabtrimmer/mbart-large-cc25-trimmed-ko`
This model is a trimmed version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimme... | [
-0.015492225997149944,
-0.02099907584488392,
-0.019556578248739243,
0.040114980190992355,
0.02140619046986103,
0.007302934769541025,
-0.011852345429360867,
-0.001566621707752347,
-0.04319453611969948,
0.0595778226852417,
0.02859722077846527,
-0.021720238029956818,
0.03224121406674385,
0.05... |
DeepChem/SmilesTokenizer_PubChem_1M | [
"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... | 227 | 2023-04-05T14:45:21Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
---
# 10 Plus Beautiful Women
danbooru.donmai.us/posts?tags=10_plus
v1 - 20 Images / 2000 Steps
- Basic Filewords
- 40% CamelliaMix NSFW v1.1
- 30% 3moon Anime Line
- 30% NAI (animefull-final)
v2 - 21 Images / 2100 Steps
- Basic Filewor... | [
0.015785060822963715,
-0.026882359758019447,
-0.020410828292369843,
0.037416309118270874,
0.030248083174228668,
0.014828129671514034,
0.028040427714586258,
0.001088410965166986,
-0.023332275450229645,
0.06811611354351044,
0.016177527606487274,
-0.0023595697712153196,
0.012308155186474323,
... |
DeepESP/gpt2-spanish-medium | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit"
] | 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... | 340 | null | Access to model lvelho/sd-lil-model-lora is restricted and you are not in the authorized list. Visit https://huggingface.co/lvelho/sd-lil-model-lora to ask for access. | [
-0.04661149904131889,
-0.01250462792813778,
-0.0036168238148093224,
0.02290601097047329,
0.037215374410152435,
-0.005152238067239523,
0.0023680541198700666,
-0.0015475769760087132,
-0.033807720988988876,
0.05494910851120949,
0.033918268978595734,
-0.03554300218820572,
0.008975847624242306,
... |
DeepESP/gpt2-spanish | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"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... | 1,463 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.04948718473315239,
-0.016232136636972427,
-0.00903591513633728,
0.03635098412632942,
0.04128038510680199,
0.0030782457906752825,
-0.021515056490898132,
-0.010594405233860016,
-0.037673935294151306,
0.05708882212638855,
0.025256551802158356,
-0.002941422164440155,
0.031208990141749382,
0... |
DeepPavlov/bert-base-cased-conversational | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"en",
"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... | 3,009 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
-0.00579179497435689,
0.0057189506478607655,
-0.016362974420189857,
0.016707047820091248,
0.06024174019694328,
-0.0299115888774395,
0.009843393228948116,
-0.03216205909848213,
-0.028824426233768463,
0.06803614646196365,
0.025953762233257294,
-0.028736703097820282,
-0.0021375222131609917,
0... |
DeepPavlov/rubert-base-cased-conversational | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"transformers",
"has_space"
] | 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... | 17,362 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/27466/kanzaki-kaori-toaru-majutsu-no-index | [
-0.027785995975136757,
-0.025057239457964897,
0.004084116779267788,
0.009065668098628521,
0.03584880009293556,
0.00393724674358964,
-0.0007825822685845196,
0.002447305480018258,
-0.03749748319387436,
0.054530881345272064,
0.03951568901538849,
0.0025476012378931046,
0.037905797362327576,
0.... |
DeltaHub/adapter_t5-3b_mrpc | [
"pytorch",
"transformers"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: BERiT_wl_custom_architecture_150_epochs
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. -->
# BE... | [
-0.024417897686362267,
-0.003071529557928443,
-0.015823617577552795,
0.027673251926898956,
0.017370982095599174,
0.023000959306955338,
-0.014513175003230572,
-0.01017798762768507,
-0.03492877259850502,
0.05056647211313248,
0.026483483612537384,
-0.038863617926836014,
0.00407775305211544,
0... |
Denny29/DialoGPT-medium-asunayuuki | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 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).
... | [
-0.05166718736290932,
0.001592610264196992,
-0.004665034357458353,
0.05029267072677612,
0.025212273001670837,
0.030980506911873817,
-0.00925874337553978,
-0.021760515868663788,
-0.0016535482136532664,
0.05085151270031929,
0.022614657878875732,
-0.014185406267642975,
0.00734007777646184,
0.... |
DeskDown/MarianMixFT_en-ms | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.021843384951353073,
-0.005126636475324631,
0.01118504535406828,
0.03917023912072182,
0.031687021255493164,
0.014857771806418896,
-0.028249450027942657,
-0.016411924734711647,
-0.015469000674784184,
0.06095452234148979,
0.006544610485434532,
0.0009389073820784688,
0.010171708650887012,
0... |
DewiBrynJones/wav2vec2-large-xlsr-welsh | [
"cy",
"dataset:common_voice",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037107914686203,
-0.0025846902281045914,
-0.004647002089768648,
0.02550375647842884,
0.04525385797023773,
-0.021371353417634964,
-0.005347609985619783,
-0.028066245838999748,
-0.033235855400562286,
0.06667683273553848,
0.032840024679899216,
-0.023820092901587486,
0.02322348766028881,
0.... |
DicoTiar/wisdomfiy | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.02200847491621971,
-0.004600687883794308,
0.010473072528839111,
0.03885481134057045,
0.031148992478847504,
0.014238324016332626,
-0.02928531914949417,
-0.01447974145412445,
-0.016329282894730568,
0.061421312391757965,
0.006910357158631086,
0.0015465246979147196,
0.009976464323699474,
0.... |
DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- germeval_14
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-uncased-de-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: germeval_14
type: germeval_14
... | [
-0.006484889425337315,
0.004977718461304903,
-0.015280947089195251,
0.047833334654569626,
0.03302256762981415,
0.015461656264960766,
-0.009398038499057293,
-0.017575979232788086,
-0.044131893664598465,
0.06470939517021179,
0.02271132543683052,
-0.027073394507169724,
0.015768496319651604,
0... |
Dizoid/Lll | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.022610902786254883,
-0.004670185502618551,
0.009376628324389458,
0.03946753963828087,
0.03248917683959007,
0.015853768214583397,
-0.02866170182824135,
-0.015556680969893932,
-0.014684564433991909,
0.061316728591918945,
0.005458890460431576,
0.001145112095400691,
0.010049463249742985,
0.... |
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 | 2023-04-02T18:04:22Z | ---
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... | [
-0.008481197990477085,
0.0037860821466892958,
-0.01577204465866089,
0.016176387667655945,
0.06027834862470627,
-0.030083248391747475,
0.006548354402184486,
-0.03515919670462608,
-0.025399835780262947,
0.066161148250103,
0.027916790917515755,
-0.02798905409872532,
-0.0010612736223265529,
0.... |
Dmitriiserg/Pxd | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: strict-small-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# stric... | [
-0.026032520458102226,
-0.004839650355279446,
-0.0075672888197004795,
0.035313673317432404,
0.028086373582482338,
0.02171601913869381,
-0.0007833650452084839,
0.003300220938399434,
-0.03925188258290291,
0.057663314044475555,
0.02123156376183033,
-0.02364449016749859,
0.0033965962938964367,
... |
Doiman/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
license: mit
datasets:
- yahma/alpaca-cleaned
---
This repo contains a low-rank adapter for LLaMA-7b fit on the Cleaned Alpaca dataset (with the new GPT-4 training data).
This version of the weights was trained with the following hyperparameters:
Cleaned dataset: Snapshot April 8, 2023
Epochs: 6 (Checkpoi... | [
-0.035946231335401535,
0.00180437124799937,
0.010019196197390556,
0.03620229288935661,
0.02399030141532421,
0.003870744490996003,
-0.008687714114785194,
-0.0009547630324959755,
-0.020495960488915443,
0.06695245951414108,
0.022821815684437752,
-0.022985050454735756,
0.049266517162323,
0.025... |
DongHai/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.031784240156412125,
-0.002330656861886382,
-0.019497422501444817,
0.05142519623041153,
0.039290886372327805,
0.025270799174904823,
-0.0016294334782287478,
-0.03639185056090355,
-0.027883244678378105,
0.047902241349220276,
0.023074926808476448,
-0.005522476509213448,
0.02027909643948078,
... |
Dongjae/mrc2reader | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-author-clm
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. -->
# gpt2-author-clm
This mode... | [
-0.021238094195723534,
-0.012578291818499565,
-0.008341392502188683,
0.03484504669904709,
0.03248819336295128,
0.01230967603623867,
-0.010854406282305717,
0.004017895553261042,
-0.04186767339706421,
0.0582437589764595,
0.016590572893619537,
-0.02476632595062256,
0.017485108226537704,
0.041... |
Dongmin/testmodel | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
... | [
-0.014159971848130226,
-0.010493725538253784,
-0.03055984154343605,
0.04643452167510986,
0.036453768610954285,
0.035911839455366135,
-0.01987656205892563,
-0.02043059468269348,
-0.03584396466612816,
0.06467548757791519,
0.0457526370882988,
-0.018670184537768364,
0.019685545936226845,
0.043... |
Waynehillsdev/Wayne_NLP_mT5 | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 11 | null | **Train-Test Set:** "teknofest_train_final.csv"
**Model:** "dbmdz/bert-base-turkish-128k-uncased"
**Önişleme**
- Karakterler küçültülmüştür
- Noktalama işaretleri silinmiştir
## Tokenizer Parametreleri
```
max_length=64
padding=True
truncation=True
```
## Eğitim Parametreleri
- **Epoch:** 3
- **Learning Rate:** 7... | [
-0.005837426520884037,
-0.00919799692928791,
-0.01470872387290001,
0.04532001540064812,
0.04273395240306854,
0.030278153717517853,
-0.017533397302031517,
-0.0026981965638697147,
-0.05079202353954315,
0.06556560099124908,
0.011405624449253082,
-0.01348059717565775,
0.010547768324613571,
0.0... |
Waynehillsdev/Waynehills-STT-doogie-server | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 61 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.022282827645540237,
-0.005317735485732555,
0.010879567824304104,
0.038794808089733124,
0.03172004967927933,
0.015303279273211956,
-0.0276961587369442,
-0.0158932376652956,
-0.015879996120929718,
0.061351578682661057,
0.006344164721667767,
0.0011111836647614837,
0.012280505150556564,
0.0... |
Doohae/p_encoder | [
"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... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- lmflow_instruction
model-index:
- name: 046_inst-tuning_model-gpt_neo2.7B_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | [
-0.028465762734413147,
0.004321560263633728,
-0.02106393128633499,
0.03191149979829788,
0.027889451012015343,
0.023794500157237053,
-0.0048262267373502254,
-0.016005728393793106,
-0.03012481890618801,
0.045920707285404205,
0.036343611776828766,
-0.02283267304301262,
0.014718052931129932,
0... |
Doohae/q_encoder | [
"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... | 3 | 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... | [
-0.02075892873108387,
-0.016212964430451393,
0.011523056775331497,
0.03585140034556389,
0.02427455596625805,
0.03015870973467827,
0.005200560670346022,
-0.006445478647947311,
-0.006892412435263395,
0.06091786548495293,
0.0030543969478458166,
-0.016203023493289948,
0.027241958305239677,
0.0... |
Doohae/roberta | [
"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... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-clang8-e1-b16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
-0.02291807532310486,
-0.010755044408142567,
0.0018041653092950583,
0.045899782329797745,
0.04103114455938339,
-0.025317231193184853,
-0.019447598606348038,
-0.026783134788274765,
-0.01994391158223152,
0.03446101397275925,
0.017615340650081635,
-0.01704663224518299,
0.002389445435255766,
0... |
Doquey/DialoGPT-small-Luisbot1 | [
"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... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: my_awesome_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: pla... | [
-0.023378092795610428,
-0.019402699545025826,
-0.015199903398752213,
0.0428505465388298,
0.030914442613720894,
0.02290932647883892,
-0.014590880833566189,
-0.02786077745258808,
-0.02088286355137825,
0.07252128422260284,
0.04471903666853905,
0.003363518975675106,
-0.004533370491117239,
0.02... |
Doquey/DialoGPT-small-Michaelbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
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
... | [
-0.03844080865383148,
-0.017828159034252167,
-0.015099970623850822,
0.037642765790224075,
0.048560306429862976,
-0.004799923859536648,
-0.014306021854281425,
-0.023792702704668045,
-0.03062397614121437,
0.05355766415596008,
0.021935589611530304,
-0.03255336731672287,
0.017785826697945595,
... |
Doxophobia/DialoGPT-medium-celeste | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
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... | [
0.011505553498864174,
-0.03272433951497078,
0.00009771345503395423,
0.03973592072725296,
0.04999355599284172,
0.014863851480185986,
-0.02053585834801197,
-0.008860643953084946,
-0.035931698977947235,
0.03549451380968094,
-0.005556045565754175,
-0.007959701120853424,
0.0003467949863988906,
... |
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-PoleCart-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.028853904455900192,
0.018217414617538452,
0.0028193979524075985,
0.007805126253515482,
0.04395114630460739,
-0.017559273168444633,
-0.02007792890071869,
-0.016758043318986893,
-0.02932487428188324,
0.08327337354421616,
0.016116201877593994,
-0.008048232644796371,
0.01434978749603033,
0.... |
DoyyingFace/bert-asian-hate-tweets-concat-clean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | null | Access to model Nuono/Petro is restricted and you are not in the authorized list. Visit https://huggingface.co/Nuono/Petro to ask for access. | [
-0.049147993326187134,
0.005417481530457735,
0.02038753032684326,
-0.010363535955548286,
0.057757847011089325,
-0.016725387424230576,
0.01056092232465744,
-0.012165701948106289,
-0.03682933375239372,
0.03941645100712776,
0.044770076870918274,
0.01948518678545952,
0.015278873965144157,
0.04... |
albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 26,792 | 2023-04-02T19:35:40Z | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: req_mod_ner_modelv2
results: []
widget:
- text: >-
De Oplossing ondersteunt het zoeken op de metadata van zaken, documenten en
objecten en op gegevens uit de basisregistraties die gek... | [
-0.003261110745370388,
-0.011299905367195606,
-0.014458111487329006,
0.017046473920345306,
0.05702510103583336,
0.023096146062016487,
-0.003971349913626909,
-0.011975780129432678,
-0.011404798366129398,
0.05184561014175415,
0.02838422730565071,
0.0011477534426376224,
0.01331088412553072,
0... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 341 | 2023-04-02T19:24:48Z | ---
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
... | [
-0.040095049887895584,
-0.015804866328835487,
-0.015325000509619713,
0.03602612763643265,
0.04883065074682236,
-0.004789336118847132,
-0.014088944531977177,
-0.024260954931378365,
-0.031492121517658234,
0.053386140614748,
0.02205468714237213,
-0.03304378688335419,
0.019108189269900322,
0.0... |
albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 2,973 | 2023-04-02T19:25:18Z | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
| [
-0.045860156416893005,
0.002645092085003853,
-0.0030245620291680098,
0.03288453072309494,
0.03534713760018349,
-0.0031227574218064547,
-0.04138900339603424,
-0.022944997996091843,
-0.005113684572279453,
0.046364642679691315,
0.029734767973423004,
0.0033203952480107546,
0.019740810617804527,
... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 7,091 | 2023-04-02T19:28:01Z | ---
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... | [
-0.014542974531650543,
-0.017761318013072014,
-0.006152631714940071,
0.030788814648985863,
0.05016953870654106,
-0.014733166433870792,
-0.011180544272065163,
-0.008504671044647694,
-0.058877941220998764,
0.05589782074093819,
-0.001832116860896349,
-0.009480378590524197,
0.024923674762248993,... |
albert-xxlarge-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 42,640 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-pixel-copter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.0405210517346859,
0.01542004942893982,
0.01489462424069643,
0.01748799905180931,
0.049713484942913055,
-0.014410554431378841,
-0.019706882536411285,
-0.02528776228427887,
-0.015844672918319702,
0.0674564316868782,
0.036533012986183167,
-0.008458701893687248,
0.012750249356031418,
-0.008... |
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 | 2023-04-02T19:35:15Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.48 +/- 2.79... | [
-0.016071530058979988,
-0.01607448235154152,
-0.007252196781337261,
0.026171118021011353,
0.045895058661699295,
0.0016847342485561967,
-0.018700601533055305,
0.007762247696518898,
-0.0367700569331646,
0.05437922477722168,
0.0180776659399271,
-0.007742942776530981,
0.01247671339660883,
0.02... |
bert-base-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8,621,271 | 2023-04-02T19:35:35Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Stable-diffusion-Charro-suit-for-woman Dreambooth model trained by Emilianohack6950 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
... | [
-0.042280733585357666,
-0.01717318780720234,
-0.02549457550048828,
0.03570041432976723,
0.02355184592306614,
-0.01028948463499546,
-0.0026839592028409243,
0.009602914564311504,
-0.016239354386925697,
0.048094023019075394,
0.01600107178092003,
0.008101281709969044,
-0.011749145574867725,
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 | 2023-04-02T19:37:22Z | ---
license: mit
pipeline_tag: text-classification
---
# roberta-nei-fact-check
This is a machine learning model trained for text classification using the Roberta architecture and a tokenizer. The purpose of this model is to identify whether a given claim with evidence contains enough information to make a fact-checki... | [
-0.006442308891564608,
-0.02514583058655262,
-0.010796118527650833,
0.06066461652517319,
0.027584247291088104,
0.019768450409173965,
-0.02260521426796913,
-0.021558256819844246,
-0.027066165581345558,
0.0584227629005909,
0.025147199630737305,
0.008970960043370724,
0.0276528038084507,
0.036... |
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 | ---
datasets:
- bigscience/P3
language:
- en
metrics:
- accuracy
pipeline_tag: sentence-similarity
---
# Model Card: Paraphrase Identification
## Model Details
- **Model Name**: ParaBERT
- **Description**: A fine-tuned paraphrase identification model based on BERT
- **Author**: Lucie Gabagnou, Armand L'Huillier, Yan... | [
-0.009527006186544895,
-0.005096676293760538,
-0.0498042106628418,
0.06826789677143097,
0.04255332797765732,
0.03382192179560661,
0.01355977077037096,
-0.004785782191902399,
-0.018042536452412605,
0.047691646963357925,
0.04167769104242325,
0.009575681760907173,
0.0034145964309573174,
0.038... |
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 | 2023-04-02T19:49:18Z | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# dvilasuero/alpaca-gigo-detector-setfit
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... | [
-0.0200077872723341,
-0.029120272025465965,
-0.010455403476953506,
0.06167693808674812,
0.034388162195682526,
0.027277087792754173,
-0.015876155346632004,
-0.0004630603361874819,
-0.03213826194405556,
0.07231110334396362,
0.02595636434853077,
0.015017490833997726,
0.02897736057639122,
0.01... |
bert-large-cased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 8,214 | 2023-04-02T19:52:27Z | ---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Milora
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - milora-tags1
These are LoRA adaption weights for [runwayml/stable-diffusion-v1-5](https:... | [
-0.05258956924080849,
-0.022630462422966957,
-0.007711037062108517,
0.037811048328876495,
0.029365772381424904,
0.00004542048918665387,
-0.016123944893479347,
-0.00672876788303256,
-0.006768340710550547,
0.07250218838453293,
0.03934067487716675,
-0.012657230719923973,
-0.02315085008740425,
... |
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 | 2023-04-02T19:58:53Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Parailaravlaransfwuber Dreambooth model trained by Fred99774 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via ... | [
-0.041527945548295975,
-0.012860724702477455,
-0.03266134113073349,
0.0391785129904747,
0.04216112196445465,
0.017215590924024582,
0.01370765920728445,
0.009294452145695686,
-0.011037648655474186,
0.04179667681455612,
0.04299347847700119,
-0.01476732362061739,
-0.03639897331595421,
0.02299... |
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 | 2023-04-02T20:04:30Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-politiker
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6607142686843872
---
# rare-politiker
Au... | [
0.008666666224598885,
-0.004245235119014978,
0.02276112698018551,
0.04390832409262657,
0.03391335904598236,
-0.012879550457000732,
-0.03293909505009651,
-0.013740173541009426,
-0.022719066590070724,
0.04733346030116081,
0.01633872650563717,
0.00011654524860205129,
0.019061293452978134,
0.0... |
distilbert-base-cased | [
"pytorch",
"tf",
"onnx",
"distilbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"has_space"
] | null | {
"architectures": null,
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"n... | 574,859 | 2023-04-02T20:12:23Z | ---
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... | [
-0.016670700162649155,
-0.018252423033118248,
-0.006184627301990986,
0.030599351972341537,
0.051192399114370346,
-0.017615457996726036,
-0.01112000085413456,
-0.008414164185523987,
-0.05934659391641617,
0.05488114431500435,
-0.001987853553146124,
-0.011067337356507778,
0.02445892244577408,
... |
distilbert-base-german-cased | [
"pytorch",
"safetensors",
"distilbert",
"fill-mask",
"de",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 43,667 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: pigNFTs
---
### pigNFTs Dreambooth model trained by Grigsss with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab No... | [
-0.034001730382442474,
-0.027033906430006027,
-0.011495720595121384,
0.02460641600191593,
0.026488332077860832,
0.02763466350734234,
-0.02878091111779213,
-0.027072802186012268,
-0.010612020269036293,
0.04412456974387169,
0.023082872852683067,
0.02041759341955185,
-0.016102183610200882,
0.... |
distilbert-base-multilingual-cased | [
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"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",
... | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 8,339,633 | 2023-04-02T20:13:43Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: taxi_v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
-0.017229942604899406,
-0.015512808226048946,
-0.007013913244009018,
0.02766142040491104,
0.04603925719857216,
-0.0014721130719408393,
-0.01874472387135029,
0.007632814347743988,
-0.03733401000499725,
0.05490969121456146,
0.01831035688519478,
-0.012376489117741585,
0.011798892170190811,
0.... |
distilbert-base-uncased-distilled-squad | [
"pytorch",
"tf",
"tflite",
"coreml",
"safetensors",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 100,097 | 2023-04-02T20:14:03Z | ---
license: bigscience-bloom-rail-1.0
---
# BahasaGPT-1 Fine-Tuning Documentation Summary (INT (8-BIT))
## Introduction
This document provides an overview of the BahasaGPT-1 model, which is a fine-tuned model for a specific task in the Indonesian language. The model is based on the Bloomz-7B-mt architecture and is f... | [
-0.014126043766736984,
-0.012407743372023106,
-0.004266762640327215,
0.028920654207468033,
0.020244410261511803,
0.00509752007201314,
-0.01049140002578497,
-0.01605980098247528,
-0.002205389318987727,
0.06481664627790451,
0.06153194233775139,
-0.03745441883802414,
0.00976213626563549,
0.04... |
distilbert-base-uncased-finetuned-sst-2-english | [
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"has_space"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 3,060,704 | 2023-04-02T20:19:27Z | ---
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... | [
-0.03957821801304817,
0.015572937205433846,
0.01404134463518858,
0.017372824251651764,
0.04992068186402321,
-0.013643908314406872,
-0.01966509222984314,
-0.023989910259842873,
-0.017451120540499687,
0.06788080185651779,
0.03601575642824173,
-0.008220747113227844,
0.010894454084336758,
-0.0... |
AdapterHub/bert-base-uncased-pf-stsb | [
"bert",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sts/sts-b"
] | 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... | 3 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.049885332584381104,
-0.01638050191104412,
-0.008691096678376198,
0.03628978133201599,
0.040929149836301804,
0.0031859776936471462,
-0.021278060972690582,
-0.010283191688358784,
-0.03804544731974602,
0.05715511739253998,
0.02456764504313469,
-0.0029827526304870844,
0.03122902102768421,
0... |
AdapterHub/roberta-base-pf-mrpc | [
"roberta",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sts/mrpc"
] | text-classification | {
"architectures": null,
"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": null,
"num_... | 2 | null | ---
license: apache-2.0
language:
- zh
---
15类政策分类：
['环境统计与总量控制',
'环评与许可证',
'环境监测管理',
'海洋环境管理',
'生态环境执法',
'科技与合作',
'辐射管理',
'水环境管理',
'固废及化学品管理',
'热线与应急管理',
'长三角一体化环境合作',
'自然生态',
'规划与计划',
'土壤环境管理',
'大气环境管理']
Top1 acc:
0.936
Top3 acc:
0.993
| [
-0.013353317975997925,
-0.02588515914976597,
-0.0125296451151371,
0.024107517674565315,
0.021210160106420517,
-0.004243477247655392,
0.001652124454267323,
0.009335886687040329,
-0.05229337513446808,
0.036429811269044876,
0.03459140658378601,
-0.012978552840650082,
0.02852444536983967,
0.02... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.