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 |
|---|---|---|---|---|---|---|---|
DeepPavlov/xlm-roberta-large-en-ru-mnli | [
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 227 | null |
---
license: mit
tags:
- feature-extraction
library_name: fasttext
language: ur
widget:
- text: apple
example_title: apple
---
# fastText (Urdu)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. ... | [
0.0029289729427546263,
-0.033140186220407486,
-0.031013980507850647,
0.06490152329206467,
0.012481193989515305,
0.05121808126568794,
-0.0098513038828969,
-0.016786593943834305,
-0.023155255243182182,
0.04330654814839363,
0.02436952106654644,
0.023553961887955666,
0.00833289697766304,
0.038... |
DeltaHub/adapter_t5-3b_cola | [
"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 | ---
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... | [
-0.017405878752470016,
-0.01671227626502514,
-0.005930836778134108,
0.02903015911579132,
0.05166831612586975,
-0.01861080713570118,
-0.011519582942128181,
-0.009145865216851234,
-0.058455489575862885,
0.054401695728302,
-0.003044941695407033,
-0.010316816158592701,
0.025487439706921577,
0.... |
Deniskin/essays_small_2000i | [] | 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 | 2023-03-24T07:31:58Z |
---
license: mit
tags:
- feature-extraction
library_name: fasttext
language: vec
widget:
- text: apple
example_title: apple
---
# fastText (Venetian)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardw... | [
0.0021695843897759914,
-0.032520391047000885,
-0.03302844241261482,
0.05991630628705025,
0.01708890311419964,
0.04457734152674675,
-0.007076576817780733,
-0.017956078052520752,
-0.021859874948859215,
0.03973790630698204,
0.023424962535500526,
0.02361888438463211,
0.014821008779108524,
0.03... |
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 | 2023-03-24T07:32:35Z | ---
license: cc-by-nc-4.0
---
License for all my models listed here models
https://civitai.com/models/19466/blaest-mix
https://civitai.com/models/23668/blaestive-mix | [
-0.027574952691793442,
-0.007343372795730829,
-0.020833035930991173,
0.005741862580180168,
0.0379885770380497,
0.0341862216591835,
0.013036934658885002,
0.00978690292686224,
-0.04243290051817894,
0.04039291664958,
0.040953218936920166,
-0.0030695318710058928,
0.020763574168086052,
0.046836... |
Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-24T07:32:56Z | ---
tags:
- FrozenLake-v1-8x8
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-Slippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-8x8
type: FrozenLake-v1-8x8
metrics:
... | [
-0.020678186789155006,
-0.017090901732444763,
-0.0008535089436918497,
0.02896258607506752,
0.052754081785678864,
-0.020769760012626648,
-0.008666067384183407,
-0.007034362759441137,
-0.05604269728064537,
0.05493709817528725,
-0.0012623887741938233,
-0.007613340858370066,
0.027379576116800308... |
DeskDown/MarianMixFT_en-th | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
tags:
- text-classification
- endpoints-template
- optimum
library_name: generic
---
# Optimized and Quantized DistilBERT with a custom pipeline with handler.py
> NOTE: Blog post coming soon
This is a template repository for Text Classification using Optimum and onnxruntime to support generic inference with Hugg... | [
-0.00980122946202755,
-0.028621749952435493,
-0.005404385272413492,
0.03354499861598015,
0.04155989736318588,
0.036055851727724075,
-0.0463922843337059,
-0.025933103635907173,
-0.020886963233351707,
0.04892069101333618,
0.018657300621271133,
0.011903409846127033,
0.02120310068130493,
0.058... |
Devrim/prism-default | [
"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 | 2023-03-24T07:52:36Z | ---
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: 7.56 +/- 2.71... | [
-0.019670886918902397,
-0.014774652197957039,
-0.007309901528060436,
0.024648655205965042,
0.047527242451906204,
-0.0020330778788775206,
-0.019276343286037445,
0.006042021326720715,
-0.03635307401418686,
0.052617546170949936,
0.015086941421031952,
-0.007620611693710089,
0.012178904376924038,... |
Dhritam/Zova-bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-24T08:00:31Z | ---
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... | [
-0.007689933758229017,
0.005116334650665522,
-0.016449008136987686,
0.01628616824746132,
0.05934435501694679,
-0.027669066563248634,
0.0071816882118582726,
-0.03304550424218178,
-0.028122935444116592,
0.06627028435468674,
0.0277992095798254,
-0.027250224724411964,
-0.0009116304572671652,
0... |
Dimedrolza/DialoGPT-small-cyberpunk | [
"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: mit
tags:
- feature-extraction
library_name: fasttext
language: pnb
widget:
- text: apple
example_title: apple
---
# fastText (Western Punjabi)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generi... | [
-0.0007313286187127233,
-0.03230904042720795,
-0.02904028259217739,
0.06562419980764389,
0.012885493226349354,
0.05106383562088013,
-0.001631620922125876,
-0.011154442094266415,
-0.01738395355641842,
0.0423823706805706,
0.022713683545589447,
0.021736418828368187,
0.012836656533181667,
0.03... |
Dkwkk/Da | [] | 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 | 2023-03-24T08:19:24Z | ---
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
... | [
-0.035231903195381165,
-0.0009786582086235285,
-0.000700130476616323,
0.029889237135648727,
0.03842111676931381,
-0.020596111193299294,
-0.0011718232417479157,
-0.03437165543437004,
-0.02789795771241188,
0.06150307133793831,
0.025672653689980507,
-0.03142368420958519,
0.026912221685051918,
... |
Dkwkk/W | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
license: mit
tags:
- feature-extraction
library_name: fasttext
language: yi
widget:
- text: apple
example_title: apple
---
# fastText (Yiddish)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardwar... | [
-0.0018337038345634937,
-0.030075471848249435,
-0.030791237950325012,
0.060969337821006775,
0.015073347836732864,
0.046696800738573074,
-0.005192350596189499,
-0.023499926552176476,
-0.020040398463606834,
0.04147607088088989,
0.018295837566256523,
0.021835627034306526,
0.018545158207416534,
... |
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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Pixelcopter-PLE-v0-1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.04164041578769684,
0.013130253180861473,
0.01418125070631504,
0.02053213305771351,
0.04967091977596283,
-0.013056420721113682,
-0.020059796050190926,
-0.028008917346596718,
-0.017431380227208138,
0.06459808349609375,
0.0354716032743454,
-0.0076041859574615955,
0.00810303445905447,
-0.00... |
Dmitry12/sber | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: vjsyong/my_awesome_model
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. -->
# vjsyong/m... | [
-0.03789268434047699,
-0.0206086914986372,
-0.004156315699219704,
0.03294895216822624,
0.028524521738290787,
0.014099875465035439,
-0.0023765070363879204,
-0.022837039083242416,
-0.03753412514925003,
0.07168339937925339,
0.018888192251324654,
-0.014684255234897137,
0.0019145848928019404,
0... |
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 | ---
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
... | [
-0.014793561771512032,
-0.010712239891290665,
-0.030983073636889458,
0.04592974856495857,
0.0368988923728466,
0.03600683808326721,
-0.019251998513936996,
-0.020668325945734978,
-0.03607901185750961,
0.0654490515589714,
0.046099044382572174,
-0.018615933135151863,
0.02014125883579254,
0.043... |
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification | [] | 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:
- feature-extraction
library_name: fasttext
language: yo
widget:
- text: apple
example_title: apple
---
# fastText (Yoruba)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware... | [
-0.0020274538546800613,
-0.03224748373031616,
-0.03168346360325813,
0.06341231614351273,
0.019757946953177452,
0.04691337049007416,
-0.0063377125188708305,
-0.020049355924129486,
-0.020839838311076164,
0.04291320592164993,
0.022386902943253517,
0.01969745382666588,
0.013177775777876377,
0.... |
Donghyun/L2_BERT | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
datasets:
- competitions/aiornot
language:
- en
metrics:
- accuracy
library_name: keras
---
The datasets / https://huggingface.co/datasets/competitions/aiornot from Hugging Face were utilized to construct sequential CNN models using Keras.
The above images that have been attached were classified incorrectly by ... | [
-0.05553941801190376,
-0.0176436398178339,
0.004426888190209866,
0.03532926365733147,
0.0526772104203701,
-0.016666390001773834,
-0.028153741732239723,
-0.03313027322292328,
-0.02093423157930374,
0.0358223058283329,
0.0012075199047103524,
0.015182285569608212,
0.0039456249214708805,
0.0513... |
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:
- feature-extraction
library_name: fasttext
language: diq
widget:
- text: apple
example_title: apple
---
# fastText (Zazaki)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardwar... | [
0.005610689055174589,
-0.0357649028301239,
-0.028176289051771164,
0.06661974638700485,
0.01763852871954441,
0.043627675622701645,
-0.009010451845824718,
-0.017462290823459625,
-0.02176222763955593,
0.03955397382378578,
0.024001510813832283,
0.024605562910437584,
0.011948655359447002,
0.038... |
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 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.040544457733631134,
0.015512065961956978,
0.013987080194056034,
0.01773853972554207,
0.04907097667455673,
-0.013575447723269463,
-0.01965615153312683,
-0.02369891107082367,
-0.0175893846899271,
0.06829232722520828,
0.03658975288271904,
-0.007503407541662455,
0.011212728917598724,
-0.007... |
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 | ---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1-base
instance_prompt: 11JenniferL
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - 11jenniferl
These are LoRA adaption weights for [stabilityai/stable-diffusio... | [
-0.04673316329717636,
-0.022143729031085968,
-0.011324995197355747,
0.040868889540433884,
0.038808662444353104,
0.0003269993176218122,
-0.0014211253728717566,
-0.02095937542617321,
-0.012097327969968319,
0.05380287021398544,
0.024166354909539223,
-0.018917540088295937,
-0.02671872265636921,
... |
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 | ---
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
python
... | [
-0.02039496973156929,
-0.013189789839088917,
0.012107965536415577,
0.031116707250475883,
0.02306950092315674,
0.023531178012490273,
0.004346612840890884,
-0.007697142660617828,
-0.0060051619075238705,
0.06314096599817276,
-0.001068144105374813,
-0.017250560224056244,
0.023749656975269318,
... |
Waynehillsdev/wav2vec2-base-timit-demo-colab | [
"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... | 5 | null | ---
tags:
- text-classification
- endpoints-template
- optimum
library_name: generic
---
# Optimized and Quantized DistilBERT with a custom pipeline with handler.py
> NOTE: Blog post coming soon
This is a template repository for Text Classification using Optimum and onnxruntime to support generic inference with Hugg... | [
-0.00980122946202755,
-0.028621749952435493,
-0.005404385272413492,
0.03354499861598015,
0.04155989736318588,
0.036055851727724075,
-0.0463922843337059,
-0.025933103635907173,
-0.020886963233351707,
0.04892069101333618,
0.018657300621271133,
0.011903409846127033,
0.02120310068130493,
0.058... |
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 | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekkorbak/detoxify-pile-chunk3-250000-300000
- t... | [
-0.007899020798504353,
-0.04013918340206146,
-0.02016882784664631,
0.015098700299859047,
0.04054846614599228,
0.024853447452187538,
-0.009249103255569935,
-0.0020212584640830755,
-0.03569217771291733,
0.06635618209838867,
0.017106039449572563,
-0.015722669661045074,
0.01772644743323326,
0.... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12 | [
"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... | 29 | 2023-03-24T09:13:41Z | ---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1-base
instance_prompt: 12JenniferL
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - 12jenniferl
These are LoRA adaption weights for [stabilityai/stable-diffusio... | [
-0.04753197729587555,
-0.02389197051525116,
-0.012783736921846867,
0.039797183126211166,
0.03880747780203819,
0.0027926668990403414,
-0.0015574046410620213,
-0.023017268627882004,
-0.011688568629324436,
0.05078340321779251,
0.024132011458277702,
-0.020697390660643578,
-0.026808084920048714,
... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
language:
- en
tags:
- text-classification
- emotion
- endpoints-template
license: apache-2.0
datasets:
- emotion
metrics:
- Accuracy, F1 Score
---
# Fork of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) | [
-0.015165134333074093,
0.003493310185149312,
-0.008538764901459217,
0.02403203770518303,
0.06364397704601288,
0.041560422629117966,
-0.013856754638254642,
-0.012529125437140465,
-0.03573064133524895,
0.03670980781316757,
0.01710231974720955,
-0.04296768456697464,
0.04775816202163696,
0.035... |
albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 4,785,283 | 2023-03-24T09:28:07Z | ---
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
... | [
-0.037447672337293625,
-0.002502650720998645,
-0.005317816510796547,
0.025255367159843445,
0.04555707424879074,
-0.02162833884358406,
-0.004941691178828478,
-0.027752161026000977,
-0.03354913368821144,
0.06685862690210342,
0.03277180343866348,
-0.023649686947464943,
0.022357678040862083,
0... |
albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 26,792 | 2023-03-24T09:30:01Z | ---
license: afl-3.0
datasets:
- ag_news
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
---
## Model description
This model is a fine-tuned version of the [bert-base-uncased](https://huggingface.co/transformers/model_doc/bert.html) model to classify news articles into o... | [
-0.0381903350353241,
-0.0018260645447298884,
-0.011336074210703373,
0.05653941258788109,
0.04620184004306793,
0.03536359965801239,
-0.025431543588638306,
-0.03139583021402359,
-0.023889098316431046,
0.05628083646297455,
0.005400534253567457,
0.007163352333009243,
0.0009546501678414643,
0.0... |
bert-base-chinese | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3,377,486 | 2023-03-24T09:36:59Z | ---
inference:
parameters:
max_length: 250
temperature: 0.7
top_p: 1
widget:
- text: 用户:帮我写一个英文营销方案,针对iphone\n小元:
- text: 用户:在他们放弃追讨信用卡账单之前,我可以拖欠多久?\n小元:
- text: 用户:帮我用英语写一封求职信,我想找一份深度学习工程师的工作\n小元:
- text: 用户:帮我双两个数之和,54+109\n小元:
- text: 用户:模拟小李和小王关于通用人工智能的潜力和问题的对话,要求先来一个开场白,然后双方展开讨论\n小元:
- text: 用户:帮我生成下... | [
-0.03960680589079857,
0.0034750637132674456,
0.006408791523426771,
0.06655359268188477,
0.03813314810395241,
-0.009221185930073261,
-0.01779307797551155,
-0.018281495198607445,
-0.015679771080613136,
0.0368448905646801,
0.007316141854971647,
-0.016764279454946518,
0.038032595068216324,
0.0... |
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 | 2023-03-24T09:38:19Z | ---
tags:
- generated_from_trainer
model-index:
- name: rugpt3small_based_on_gpt2-new_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rugpt3small_based_o... | [
-0.016590256243944168,
-0.020813269540667534,
-0.004364534746855497,
0.02740856632590294,
0.04385697469115257,
0.0151735944673419,
-0.01079552248120308,
-0.012590075843036175,
-0.04028230160474777,
0.06193805858492851,
0.002580210566520691,
-0.03713938221335411,
-0.000041955034248530865,
0... |
bert-base-german-dbmdz-uncased | [
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 68,305 | 2023-03-24T09:40:33Z | ---
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... | [
-0.021163195371627808,
-0.014368472620844841,
0.010734569281339645,
0.031980011612176895,
0.02378966473042965,
0.023411307483911514,
0.005953990388661623,
-0.007313726004213095,
-0.005704773589968681,
0.06202605739235878,
-0.0007395849097520113,
-0.015699394047260284,
0.02334325574338436,
... |
bert-base-multilingual-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4,749,504 | 2023-03-24T09:42:00Z | ---
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
... | [
-0.037647124379873276,
-0.0027603560592979193,
-0.004702728241682053,
0.025540336966514587,
0.04524968937039375,
-0.02181980200111866,
-0.00535502890124917,
-0.027891669422388077,
-0.03339722380042076,
0.06659355759620667,
0.032161906361579895,
-0.023265521973371506,
0.023279136046767235,
... |
bert-large-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 388,769 | 2023-03-24T09:48:32Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
- cpsc670
model-index:
- name: kejian/cpsc-log15-bin4-3repeat-v2
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... | [
-0.013391717337071896,
-0.023340782150626183,
-0.017610974609851837,
0.03057870827615261,
0.029342247173190117,
0.01941121742129326,
-0.00561600411310792,
-0.006637920625507832,
-0.04147469252347946,
0.051702652126550674,
0.011408944614231586,
-0.03597880154848099,
0.010418100282549858,
0.... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 480,510 | 2023-03-24T09:48:33Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekkorbak/detoxify-pile-chunk3-250000-300000
- t... | [
-0.007899020798504353,
-0.04013918340206146,
-0.02016882784664631,
0.015098700299859047,
0.04054846614599228,
0.024853447452187538,
-0.009249103255569935,
-0.0020212584640830755,
-0.03569217771291733,
0.06635618209838867,
0.017106039449572563,
-0.015722669661045074,
0.01772644743323326,
0.... |
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 | null | Access to model Wpatzz/Spam is restricted and you are not in the authorized list. Visit https://huggingface.co/Wpatzz/Spam to ask for access. | [
-0.040767207741737366,
-0.012078903615474701,
0.004834464285522699,
0.024302301928400993,
0.051985934376716614,
0.027389686554670334,
0.017614327371120453,
0.02690173126757145,
-0.04504747316241264,
0.04932300001382828,
0.05458610877394676,
0.010461541824042797,
-0.018103182315826416,
0.04... |
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 | 2023-03-24T09:52:13Z | ---
tags:
- spacy
language:
- de
license: mit
model-index:
- name: de_test_pipeline
results: []
---
A test pipeline for ModelManager testing purposes
| Feature | Description |
| --- | --- |
| **Name** | `de_test_pipeline` |
| **Version** | `0.1.1` |
| **spaCy** | `>=3.5.1,<3.6.0` |
| **Default Pipeline** | `tok2vec`... | [
0.0032018842175602913,
-0.01673256792128086,
-0.006260901223868132,
0.03247002139687538,
0.07232974469661713,
0.03330058231949806,
-0.0028604522813111544,
0.024097023531794548,
-0.056059472262859344,
0.054821476340293884,
0.027401143684983253,
-0.0172672551125288,
0.02832285314798355,
0.04... |
61birds/distilbert-base-uncased-finetuned-cola | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-24T12:40:28Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
<img src="https://huggingface.co/sazyou-roukaku/GenesisLifeMix/resolve/main/sample/33500-%5Bdata%5D_DPM%2B%2B%202M%20Karras30-7.5_4253946134.png" width="512" height="768">
```
(face focus:1.1), dynamic angle, high res, HD 8k, HDR, (pho... | [
-0.003069337923079729,
-0.03577188029885292,
-0.0017613794188946486,
0.03272712975740433,
0.0474170483648777,
0.014095690101385117,
0.00850934162735939,
-0.020806891843676567,
-0.0240495465695858,
0.05111665651202202,
0.02284836955368519,
-0.020173100754618645,
0.007038936484605074,
0.0655... |
AJ/rick-ai | [] | 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 | 2023-03-24T13:52:10Z | ---
license: mit
---
<div align="center">
<h1>Images Speak in Images: <br>A Generalist Painter for In-Context Visual Learning </h1>
[Xinlong Wang](https://www.xloong.wang/)<sup>1*</sup>, [Wen Wang](https://scholar.google.com/citations?user=1ks0R04AAAAJ&hl)<sup>1,2*</sup>, [Yue Cao](http://yue-cao.me/)<s... | [
0.0062109739519655704,
-0.02926570363342762,
-0.003882896387949586,
0.055563848465681076,
0.06793508678674698,
-0.00918001588433981,
0.0009226496913470328,
-0.02860676310956478,
0.002643992193043232,
0.0601201057434082,
0.004819737747311592,
0.020404668524861336,
-0.0010163484839722514,
0.... |
Abdullaziz/model1 | [] | 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 | 2023-03-24T15:55:36Z | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.04181266576051712,
-0.0026044107507914305,
0.011570784263312817,
0.03720683977007866,
0.025582678616046906,
-0.011520115658640862,
-0.011122887954115868,
-0.025922711938619614,
-0.03936885669827461,
0.056361254304647446,
0.03753794729709625,
0.0012263704556971788,
0.01957278698682785,
0... |
AdapterHub/bert-base-uncased-pf-quail | [
"bert",
"en",
"dataset:quail",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
"architectures": null,
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 2 | null | ---
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: 7.56 +/- 2.71... | [
-0.02022355981171131,
-0.014848933555185795,
-0.006628656294196844,
0.02551257237792015,
0.04799399897456169,
-0.001513406983576715,
-0.01903449185192585,
0.006003720685839653,
-0.03805556520819664,
0.05189715325832367,
0.015288391150534153,
-0.005919927265495062,
0.011433480307459831,
0.0... |
AdapterHub/bioASQyesno | [
"bart",
"adapter-transformers",
"adapterhub:qa/bioasq"
] | null | {
"architectures": null,
"model_type": "bart",
"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... | 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
... | [
-0.03914395347237587,
-0.016361374408006668,
-0.015336674638092518,
0.03645814210176468,
0.0487089641392231,
-0.005572515074163675,
-0.012884278781712055,
-0.024122266098856926,
-0.031683746725320816,
0.05477551370859146,
0.022686267271637917,
-0.031755246222019196,
0.01868259906768799,
0.... |
AdapterHub/roberta-base-pf-drop | [
"roberta",
"en",
"dataset:drop",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
"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_... | 8 | null | ---
license: mit
widget:
- text: ব্রহ্মপুত্র নদের মোট দৈর্ঘ্য কত ?
context: বাংলাদেশ ও ভারতের অনেক বৃহৎ নদী পূর্ব থেকে পশ্চিমে প্রবাহিত হয়ে বঙ্গোপসাগরে পতিত হয়েছে। তন্মধ্যে উত্তরদিক থেকে গঙ্গা, মেঘনা এবং ব্রহ্মপুত্র; দক্ষিণদিক থেকে মহানদী, গোদাবরী, কৃষ্ণা, ইরাবতী এবং কাবেরী নদী উল্লেখযোগ্য। ৬৪ কিলোমিটারব্যাপী ... | [
0.018162064254283905,
-0.020721202716231346,
-0.01515739131718874,
0.004698753822594881,
0.02053043432533741,
0.035311583429574966,
0.004638838581740856,
0.010396399535238743,
-0.05831700190901756,
0.06433934718370438,
0.003269365755841136,
-0.03273077309131622,
0.04306608438491821,
0.0312... |
Ahmed59/Demo-Team-5-SIAD | [
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 14 | null | ---
language:
- en
pipeline_tag: question-answering
--- | [
-0.005619457922875881,
-0.007979091256856918,
0.009722706861793995,
0.02025165781378746,
0.048544738441705704,
0.00014094458310864866,
-0.0008966644527390599,
0.024051059037446976,
-0.04351681470870972,
0.03851759806275368,
0.023097023367881775,
-0.006962416227906942,
-0.0062581212259829044,... |
AhmedBou/TuniBert | [
"pytorch",
"bert",
"text-classification",
"ar",
"transformers",
"sentiment analysis",
"classification",
"arabic dialect",
"tunisian dialect",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 44 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
-0.029019230976700783,
-0.005273059941828251,
-0.01744081825017929,
0.051785942167043686,
0.03585532680153847,
0.02621977962553501,
-0.0012810991611331701,
-0.034396156668663025,
-0.024941083043813705,
0.04640834033489227,
0.025962265208363533,
-0.009163418784737587,
0.018616002053022385,
... |
AidenGO/KDXF_Bert4MaskedLM | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 10k_test3_nli_finetuned_bert
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
-0.005444102454930544,
-0.0029438482597470284,
-0.02078360691666603,
0.03261295706033707,
0.03132253512740135,
0.025811735540628433,
-0.01624150201678276,
-0.030239012092351913,
-0.051392994821071625,
0.056564148515462875,
0.00514419237151742,
-0.031062304973602295,
0.02952553518116474,
0.... |
AimB/mT5-en-kr-aihub-netflix | [] | 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
---
### ahx-beta-41e3465 on Stable Diffusion
This is the `<ahx-beta-41e3465>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inf... | [
-0.026730941608548164,
-0.022260749712586403,
-0.03388185426592827,
0.044572796672582626,
0.009451286867260933,
0.018882328644394875,
0.004320355597883463,
-0.010861862450838089,
-0.03197403624653816,
0.03793767839670181,
-0.006490029860287905,
-0.009124087169766426,
0.0321238674223423,
0.... |
Ajay191191/autonlp-Test-530014983 | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Ajay191191/autonlp-data-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... | 34 | null | ---
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
... | [
-0.023315997794270515,
-0.01632552407681942,
-0.006415783427655697,
0.025269467383623123,
0.045153118669986725,
-0.0002142556186299771,
-0.018762676045298576,
0.007944125682115555,
-0.037582676857709885,
0.051437441259622574,
0.016947420313954353,
-0.004427093081176281,
0.013691997155547142,... |
Akashpb13/xlsr_kurmanji_kurdish | [
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"kmr",
"ku",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-... | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 10 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
-0.029516346752643585,
-0.004883100278675556,
-0.018465295433998108,
0.05207301303744316,
0.038951873779296875,
0.02723676525056362,
-8.546786602892098e-7,
-0.034572094678878784,
-0.02419409155845642,
0.0470564104616642,
0.02782408706843853,
-0.010331442579627037,
0.01548930536955595,
0.02... |
AkshayDev/BERT_Fine_Tuning | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.05289768427610397,
0.002194127766415477,
-0.004845455288887024,
0.049614306539297104,
0.027529863640666008,
0.03097216784954071,
-0.009280651807785034,
-0.023553568869829178,
-0.0014771060086786747,
0.051936086267232895,
0.02592834271490574,
-0.014104066416621208,
0.007485216949135065,
... |
AkshaySg/GrammarCorrection | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
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... | [
-0.050084881484508514,
-0.015989819541573524,
-0.008805500343441963,
0.03631841391324997,
0.04091814160346985,
0.003288050414994359,
-0.021367445588111877,
-0.010478492826223373,
-0.037906259298324585,
0.05689472332596779,
0.024870144203305244,
-0.0028301395941525698,
0.03163324296474457,
... |
AkshaySg/gramCorrection | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 4 | null | ---
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... | [
-0.04004623740911484,
0.015357294119894505,
0.013961807824671268,
0.017400549724698067,
0.0496237576007843,
-0.013862943276762962,
-0.020433800294995308,
-0.02353442832827568,
-0.0171513669192791,
0.06764626502990723,
0.035844847559928894,
-0.0081484941765666,
0.01142936386168003,
-0.00702... |
AlanDev/test | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-03-25T02:29:53Z | ---
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
... | [
-0.03747988119721413,
-0.0024219024926424026,
-0.005215381737798452,
0.02542538195848465,
0.04543192684650421,
-0.02165250852704048,
-0.00592309795320034,
-0.028217758983373642,
-0.03313677757978439,
0.06679072976112366,
0.03267589583992958,
-0.023513488471508026,
0.02230912446975708,
0.00... |
Aleksandar/electra-srb-ner-setimes | [
"pytorch",
"electra",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"ElectraForTokenClassification"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 6 | 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
... | [
-0.03727388009428978,
-0.0028896532021462917,
-0.004862004425376654,
0.025668226182460785,
0.04529979079961777,
-0.02133377455174923,
-0.005606845952570438,
-0.02776642143726349,
-0.033187996596097946,
0.06681111454963684,
0.03255108371376991,
-0.023337826132774353,
0.022771015763282776,
0... |
Aleksandar1932/distilgpt2-rock | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
-0.029297826811671257,
-0.004502064548432827,
-0.019116640090942383,
0.05253315344452858,
0.03700747340917587,
0.02645678073167801,
-0.0026455027982592583,
-0.035955313593149185,
-0.02506689913570881,
0.04659101366996765,
0.02651725336909294,
-0.008679992519319057,
0.01859256625175476,
0.0... |
Aleksandra/herbert-base-cased-finetuned-squad | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 8 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
-0.04243125393986702,
-0.0023165543098002672,
-0.005410885438323021,
0.04817705601453781,
0.026549872010946274,
0.018749719485640526,
-0.024525662884116173,
-0.03293213993310928,
-0.003126854542642832,
0.05048461630940437,
0.02140446938574314,
-0.01362979132682085,
0.017539847642183304,
0.... |
adorkin/xlm-roberta-en-ru-emoji | [
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:tweet_eval",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 31 | null | ---
license:
- apache-2.0
- cc-by-nc-4.0
datasets: pszemraj/fleece2instructions-codealpaca
tags:
- generated_from_trainer
- instruct
- instructions
- code
- instructiongen
metrics:
- rouge
language:
- en
widget:
- text: |
git lfs install
huggingface-cli lfs-enable-largefiles .
git lfs track "*.bin"
git ... | [
0.0040800003334879875,
-0.024066653102636337,
0.010327966883778572,
0.046233657747507095,
0.05199863016605377,
0.022026728838682175,
-0.018654003739356995,
-0.022986577823758125,
-0.005433385726064444,
0.061063166707754135,
0.02398015931248665,
-0.011960694566369057,
0.02038642019033432,
0... |
AlekseyKorshuk/comedy-scripts | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 20 | null | ---
tags:
- Breakout-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Breakout-v5
type: Breakout-v5
metrics:
-... | [
-0.02074158750474453,
-0.015302160754799843,
-0.013094677589833736,
0.02979796752333641,
0.03285162150859833,
0.0005101701826788485,
-0.015023214742541313,
-0.0037282907869666815,
-0.0030418464448302984,
0.08297190070152283,
0.0212971493601799,
-0.007246080785989761,
0.004791782703250647,
... |
AlekseyKorshuk/horror-scripts | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 19 | null | ---
license: creativeml-openrail-m
language:
- en
---
# **Chattiori ElementMixes-1:HydroMix**
HydroMix is checkpoint merge of ChilloutMix, DDosMix, GravyMix, Deliberate and RetMix.
## Merge Source:
((Chilloutmix-Ni-pruned-fp32-fix (0.7) + DDosMix_v2 (0.3) Weighted Sum) (0.6) +
(Gravymix:v3final (0.4) + Deliberate ... | [
-0.03811189532279968,
-0.006280325818806887,
-0.01631944440305233,
-0.006747258827090263,
0.03556138649582863,
0.020598039031028748,
-0.004081582184880972,
0.02198740467429161,
-0.019711418077349663,
0.07498270273208618,
0.04813160374760628,
0.009558545425534248,
0.017592933028936386,
0.06... |
AlekseyKulnevich/Pegasus-HeaderGeneration | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"PegasusForConditionalGeneration"
],
"model_type": "pegasus",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"n... | 8 | null | ---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
duplicated_from: aj555/poca-SoccerTwos
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML... | [
-0.020306963473558426,
-0.004516474436968565,
0.007312615867704153,
0.04134972020983696,
0.03311115503311157,
0.01570412516593933,
-0.027784883975982666,
-0.01670808158814907,
-0.017125749960541725,
0.060585010796785355,
0.007052447181195021,
-0.0012272860622033477,
0.009662674739956856,
0... |
AlekseyKulnevich/Pegasus-Summarization | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"PegasusForConditionalGeneration"
],
"model_type": "pegasus",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"n... | 7 | null | ---
license: openrail
library_name: diffusers
pipeline_tag: text-to-image
--- | [
-0.009582461789250374,
-0.01720939204096794,
-0.00632865447551012,
0.004316668026149273,
0.05952602997422218,
0.005057748407125473,
-0.008079162798821926,
0.014635281637310982,
-0.026337267830967903,
0.03285208344459534,
0.006515292450785637,
0.022792553529143333,
0.015563559718430042,
0.0... |
Alerosae/SocratesGPT-2 | [
"pytorch",
"gpt2",
"feature-extraction",
"en",
"transformers",
"text-generation"
] | text-generation | {
"architectures": [
"GPT2Model"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 7 | null | ---
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... | [
-0.04551031440496445,
-0.019822504371404648,
-0.009986734949052334,
0.03979412466287613,
0.044693779200315475,
-0.00027963839238509536,
-0.02064782939851284,
-0.00994686596095562,
-0.03773050010204315,
0.05753057450056076,
0.020764878019690514,
-0.004178630653768778,
0.030974026769399643,
... |
Alessandro/model_name | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
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
... | [
-0.03411157429218292,
-0.0038422043435275555,
-0.006804058328270912,
0.025735680013895035,
0.050759561359882355,
-0.027362510561943054,
-0.0005941165145486593,
-0.027819158509373665,
-0.031779251992702484,
0.06498807668685913,
0.033479172736406326,
-0.024807527661323547,
0.021238191053271294... |
AlexN/xls-r-300m-fr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fr",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 17 | null | ---
library_name: diffusers
pipeline_tag: text-to-image
---
# Background
This model was trained to generate floral patterns!
Join our [Discord](https://discord.com/invite/qM84dzKC) for any questions or feedback, or see the links below.
# Resources
- [Civitai](https://civitai.com/models/26295/floral-patterns)
- [Redd... | [
-0.019793670624494553,
-0.014310022816061974,
0.0007171494653448462,
0.051913242787122726,
0.01653946004807949,
0.004966613370925188,
0.009654653258621693,
0.00541893532499671,
-0.01335386373102665,
0.03609307110309601,
0.02252093330025673,
-0.004088204819709063,
0.006148801650851965,
0.04... |
Alexander-Learn/bert-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.04619487375020981,
-0.008236722089350224,
0.019159717485308647,
0.03732207790017128,
0.020040079951286316,
-0.012004747986793518,
-0.008862973190844059,
-0.028565485030412674,
-0.03237808495759964,
0.05476018786430359,
0.04077686741948128,
0.001098358421586454,
0.01981358416378498,
0.03... |
Alfia/anekdotes | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
pipeline_tag: 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... |
Aliraza47/BERT | [] | 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:
- Asteroids-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Asteroids-v5
type: Asteroids-v5
metrics:
... | [
-0.013237622566521168,
-0.007948598824441433,
-0.014324383810162544,
0.02201935648918152,
0.05679132044315338,
-0.014455572701990604,
-0.02018182910978794,
-0.036783892661333084,
-0.019201025366783142,
0.06285987794399261,
0.04070035368204117,
0.007196183316409588,
0.013410478830337524,
0.... |
Alireza-rw/testbot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Asterix-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Asterix-v5
type: Asterix-v5
metrics:
- ty... | [
0.0007283693994395435,
-0.01052787434309721,
-0.009214798919856548,
0.03485102951526642,
0.04078765958547592,
-0.0030929355416446924,
-0.028798077255487442,
-0.0263320654630661,
-0.02667803317308426,
0.06790412962436676,
0.012170103378593922,
-0.011031782254576683,
-0.009632761590182781,
0... |
Alireza1044/albert-base-v2-qqp | [
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 37 | null | ---
tags:
- BankHeist-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BankHeist-v5
type: BankHeist-v5
metrics:
... | [
-0.03141993656754494,
-0.020469075068831444,
-0.003321876050904393,
0.024414876475930214,
0.03517283871769905,
0.01185581088066101,
-0.014836273156106472,
-0.006068917457014322,
-0.009523307904601097,
0.06865698099136353,
0.037946563214063644,
-0.005012947134673595,
-0.006219904404133558,
... |
Alireza1044/albert-base-v2-rte | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 30 | null | ---
tags:
- Amidar-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Amidar-v5
type: Amidar-v5
metrics:
- type:... | [
-0.00866435095667839,
-0.009837768040597439,
-0.00943694356828928,
0.03995414078235626,
0.04096495360136032,
0.00044332543620839715,
-0.019027085974812508,
-0.036279596388339996,
-0.023975100368261337,
0.07146898657083511,
0.02847360633313656,
-0.013910607434809208,
-0.006363275460898876,
... |
Altidore/DuggFace | [] | 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:
- Atlantis-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Atlantis-v5
type: Atlantis-v5
metrics:
-... | [
-0.03461959585547447,
-0.0156291164457798,
-0.016219303011894226,
0.02974747121334076,
0.03126734867691994,
-0.002459235955029726,
-0.034733083099126816,
-0.02452598139643669,
-0.007651272229850292,
0.05890771374106407,
0.031458523124456406,
-0.011619416065514088,
-0.002039439743384719,
0.... |
Alvenir/wav2vec2-base-da | [
"pytorch",
"wav2vec2",
"pretraining",
"da",
"transformers",
"speech",
"license:apache-2.0"
] | null | {
"architectures": [
"Wav2Vec2ForPreTraining"
],
"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... | 62 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.04539061337709427,
-0.0034692282788455486,
0.010692063719034195,
0.04016633704304695,
0.026809990406036377,
-0.009421436116099358,
-0.01235507894307375,
-0.027249453589320183,
-0.040137410163879395,
0.05420989543199539,
0.03637673333287239,
0.0018917964771389961,
0.01661740429699421,
0.... |
Anamika/autonlp-fa-473312409 | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Anamika/autonlp-data-fa",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 35 | null | ---
tags:
- Tutankham-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tutankham-v5
type: Tutankham-v5
metrics:
... | [
-0.00827585719525814,
-0.01034877635538578,
-0.012350689619779587,
0.02989640086889267,
0.04556741565465927,
0.0008944099536165595,
-0.01753891631960869,
-0.021593540906906128,
-0.01907522790133953,
0.06479722261428833,
0.02302728034555912,
-0.018948467448353767,
0.0010623279958963394,
0.0... |
Andranik/TestQA2 | [
"pytorch",
"electra",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"ElectraForQuestionAnswering"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
tags:
- Zaxxon-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Zaxxon-v5
type: Zaxxon-v5
metrics:
- type:... | [
-0.023702777922153473,
-0.010426517575979233,
-0.006472485139966011,
0.03448912128806114,
0.03508112579584122,
0.001477686921134591,
-0.017160356044769287,
-0.020910311490297318,
-0.014569871127605438,
0.06329807639122009,
0.029909422621130943,
-0.014604443684220314,
-0.00630204239860177,
... |
Andres2015/HiggingFaceTest | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | [
-0.0518614761531353,
0.0019090863643214107,
-0.004985000006854534,
0.051091309636831284,
0.024887988343834877,
0.03075973317027092,
-0.00979487132281065,
-0.021417563781142235,
-0.0020639460999518633,
0.050279416143894196,
0.023560214787721634,
-0.014656719751656055,
0.0065729934722185135,
... |
AndrewChar/model-QA-5-epoch-RU | [
"tf",
"distilbert",
"question-answering",
"ru",
"dataset:sberquad",
"transformers",
"generated_from_keras_callback",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 109 | 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).
... | [
-0.05188975855708122,
0.0017404987011104822,
-0.006182854063808918,
0.0512399896979332,
0.024815164506435394,
0.03087027370929718,
-0.010581372305750847,
-0.023554762825369835,
-0.0010716553078964353,
0.0494205579161644,
0.023747824132442474,
-0.014844832010567188,
0.007287254091352224,
0.... |
AnjanBiswas/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 37 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - https://huggingface.co/mikephillips/pokemon-lora15
These are LoRA adaption weights for runwayml... | [
-0.03356892988085747,
-0.013287273235619068,
-0.023318622261285782,
0.024767039343714714,
0.04632338136434555,
-0.015234008431434631,
0.010151305235922337,
-0.01646476797759533,
-0.008966837078332901,
0.06739148497581482,
0.024887943640351295,
-0.03267984837293625,
0.01021741982549429,
0.0... |
AnonymousSub/AR_rule_based_twostagetriplet_hier_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 6 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-eaten
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. -->
# d... | [
-0.040391501039266586,
-0.015395782887935638,
-0.0036019240505993366,
0.05428104102611542,
0.023646613582968712,
0.014799198135733604,
0.023477282375097275,
-0.010759045369923115,
-0.023819496855139732,
0.02230054885149002,
0.04401341825723648,
-0.01791461929678917,
0.021189548075199127,
0... |
AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
tags:
- image-to-text
- image-captioning
license: apache-2.0
language:
- zh
widget:
- src: https://datasets-server.huggingface.co/assets/Maciel/e-commerce-sample-images/--/Maciel--e-commerce-sample-images/train/2/image/image.jpg
example_title: 小耳钉
- src: https://datasets-server.huggingface.co/assets/Maciel/e-co... | [
-0.005314310546964407,
-0.02759275957942009,
0.005291999317705631,
0.05684312433004379,
0.06326547265052795,
0.002430984051898122,
-0.01859518326818943,
-0.008520485833287239,
-0.01651826687157154,
0.05494694039225578,
0.024303289130330086,
0.0033905322197824717,
0.010350481607019901,
0.05... |
AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: christoph-large-v2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_11_0
type: common_voice_11_0
... | [
-0.02938344143331051,
0.009779820218682289,
-0.01596675254404545,
0.03984177112579346,
0.04873904585838318,
0.01552643720060587,
-0.014987871050834656,
-0.01771126314997673,
-0.010715753771364689,
0.058006640523672104,
0.04016594588756561,
-0.02054602839052677,
0.001920142793096602,
0.0431... |
AnonymousSub/bert_triplet_epochs_1_shard_10 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 1 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: dummy-model
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. -->
# dummy-model
This model is a ... | [
-0.05862456187605858,
-0.006512057036161423,
0.0000906523855519481,
0.03319106996059418,
0.027547616511583328,
0.023166058585047722,
-0.009560031816363335,
0.005727544892579317,
-0.03388194739818573,
0.04522799700498581,
0.016665946692228317,
-0.024261504411697388,
0.01429042499512434,
0.0... |
AnonymousSub/consert-s10-AR | [
"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... | 31 | null | ---
language: fo
datasets:
- carlosdanielhernandezmena/ravnursson_asr
tags:
- audio
- automatic-speech-recognition
- faroese
- whisper-large-v2
- ravnur-project
- faroe-islands
license: cc-by-4.0
widget: null
model-index:
- name: whisper-largev2-faroese-8k-steps-100h
results:
- task:
... | [
-0.02187809720635414,
-0.025111792609095573,
0.007660308852791786,
0.04523065313696861,
0.06771791726350784,
0.013886958360671997,
0.006838085595518351,
-0.019016433507204056,
-0.026434900239109993,
0.0736728087067604,
0.04091443121433258,
-0.008872567676007748,
0.0013544305693358183,
0.03... |
AnonymousSub/consert-s10-SR | [
"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... | 28 | null | ---
tags:
- autotrain
- summarization
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- stevied67/autotrain-data-pegasus-reddit-summarizer
co2_eq_emissions:
emissions: 85.71551225539321
---
# Model Trained Using AutoTrain
This model was trained using chatgpt generated summaries of subreddit submissio... | [
-0.009065080434083939,
-0.013532119803130627,
0.005093866493552923,
0.02455049380660057,
0.04011578857898712,
0.00692423339933157,
-0.029516195878386497,
-0.011827470734715462,
-0.03372121974825859,
0.07205761969089508,
0.02218800224363804,
0.02410285361111164,
0.01787612773478031,
0.03158... |
AnonymousSub/declutr-emanuals-s10-AR | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: YSKartal/distilbert-base-cased-finetuned-ref_disam
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this... | [
-0.0275067500770092,
-0.0033700866624712944,
-0.012276352383196354,
0.0193715188652277,
0.04291272535920143,
0.026724865660071373,
-0.0019590798765420914,
-0.022813690826296806,
-0.049504801630973816,
0.06236021965742111,
0.03634278103709221,
-0.04288583993911743,
0.023837860673666,
0.0196... |
AnonymousSub/declutr-model_squad2.0 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 2 | 2023-03-20T12:54:14Z | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM-6B-INT4-QE-Slim: 低显存版ChatGLM-6B-INT4-QE
## 介绍
ChatGLM-6B-INT4-QE-Slim是在[ChatGLM-6B-INT4-QE](https://huggingface.co/THUDM/chatglm-6b-int4-qe)的基础上通过裁剪词表构建的。因为ChatGLM-6B使用了icetk,在其词表中,前20000个token是预留给图片的,在文本模型中没有用到这些图片token,但是在infer和微调的时候,这些token对应的embed... | [
-0.026052655652165413,
-0.01323792990297079,
-0.00038824439980089664,
0.028683658689260483,
0.045401595532894135,
0.015348648652434349,
-0.02430565282702446,
-0.00556489173322916,
-0.03597771003842354,
0.04481919854879379,
0.022832153365015984,
-0.02634585276246071,
0.01658264920115471,
0.... |
AnonymousSub/dummy_2_parent | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 3 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-small-finetuned-tfg
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. -->... | [
-0.013534738682210445,
-0.013246545568108559,
0.01023367140442133,
0.017067667096853256,
0.03663631156086922,
0.008777602575719357,
-0.02733776345849037,
-0.005642159376293421,
-0.03160204365849495,
0.051421962678432465,
0.02989278733730316,
-0.01217057928442955,
0.011126114055514336,
0.04... |
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_squad2.0 | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 3 | null | ---
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
... | [
-0.04038830101490021,
-0.01677592843770981,
-0.01585506647825241,
0.03696013614535332,
0.048921942710876465,
-0.0046739401295781136,
-0.012863416224718094,
-0.02389037050306797,
-0.031233662739396095,
0.054718609899282455,
0.022750485688447952,
-0.03252830728888512,
0.018809327855706215,
0... |
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 31 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/21305/tenten-character-lohafullckpt | [
-0.008540859445929527,
-0.010092615149915218,
-0.013275420293211937,
0.026324518024921417,
0.044347673654556274,
-0.00014352361904457211,
-0.005597907584160566,
-0.0013995463959872723,
-0.03135412186384201,
0.04086880758404732,
0.0013947299448773265,
-0.01595698669552803,
0.04924494400620460... |
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_copy | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 1 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/15553/shokuhou-misaki-or-toaru-majutsu-no-index | [
-0.010821289382874966,
-0.01960171014070511,
0.002234153915196657,
-0.001929373131133616,
0.033810533583164215,
-0.0034803838934749365,
-0.0025959424674510956,
0.009249645285308361,
-0.03783152624964714,
0.06376214325428009,
0.05346640199422836,
0.022361766546964645,
0.03648325800895691,
0... |
AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 4 | null | ---
license: creativeml-openrail-m
---
https://civitai.com/models/18612/teaanzu-dsod-ver-or-yu-gi-oh | [
-0.04041909798979759,
-0.03239738568663597,
0.0006654079770669341,
0.020618455484509468,
0.036182209849357605,
0.01299495529383421,
0.01720183715224266,
-0.0007863984792493284,
-0.0084602702409029,
0.023415470495820045,
0.05399777367711067,
0.0061830785125494,
0.03979811072349548,
0.026288... |
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_squad2.0 | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 2 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
-0.03922796994447708,
-0.000497104658279568,
-0.005882270634174347,
0.04507678374648094,
0.024514753371477127,
0.02114447019994259,
-0.025520332157611847,
-0.03135189414024353,
-0.003496486460790038,
0.04932689294219017,
0.02166132815182209,
-0.014814409427344799,
0.020183037966489792,
0.0... |
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_wikiqa_copy | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 1 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.04103308171033859,
-0.0008448465378023684,
0.012318051420152187,
0.036798570305109024,
0.02417632006108761,
-0.011509571224451065,
-0.0148979676887393,
-0.026050152257084846,
-0.03882154822349548,
0.05334840342402458,
0.037482962012290955,
-0.002930067479610443,
0.022136839106678963,
0.... |
AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 10 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-wikiann
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. ... | [
-0.03979041427373886,
-0.012253382243216038,
0.0014438116922974586,
0.018811404705047607,
0.018718821927905083,
0.028459783643484116,
-0.022275710478425026,
-0.008935895748436451,
-0.03844684362411499,
0.0518902949988842,
0.03838330879807472,
-0.03675227612257004,
0.01624874398112297,
0.03... |
AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1_wikiqa | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 27 | null | # alpaca-lora-7b
This LoRA trained for 3 epochs.
Exported to hf format using https://github.com/tloen/alpaca-lora(float32, no 8bit)
Exported to ONNX using optimum library(https://github.com/huggingface/optimum/pull/922) without any optimizations
--
license: other
---
# LLaMA Model Card
## Model details
**Organizat... | [
-0.02085190638899803,
-0.006943836342543364,
-0.010305294767022133,
0.039223238825798035,
0.04595024883747101,
0.027253462001681328,
-0.0040421257726848125,
-0.009775777347385883,
-0.013441056944429874,
0.050704438239336014,
0.051070861518383026,
-0.030718117952346802,
0.0004733596870210022,... |
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-03-25T13:45:05Z | ---
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... | [
-0.01692167855799198,
-0.01767047680914402,
-0.006840707268565893,
0.0300357174128294,
0.05173671618103981,
-0.017412478104233742,
-0.012101242318749428,
-0.008728592656552792,
-0.059359535574913025,
0.054523300379514694,
-0.002988936146721244,
-0.009797614999115467,
0.025066467002034187,
... |
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 23 | 2023-03-25T13:47:13Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Scott-Malin-Art-Style Dreambooth model trained by Anonim3327 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Basic model:Anything D... | [
-0.03769616410136223,
-0.017059918493032455,
-0.02684371918439865,
0.04647795483469963,
0.037459682673215866,
0.017216818407177925,
0.001060768379829824,
0.002858138410374522,
-0.007383580785244703,
0.04692552983760834,
0.03969719260931015,
-0.003424715716391802,
-0.018567094579339027,
0.0... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2 | null | ---
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
... | [
-0.017696935683488846,
-0.015175490640103817,
-0.008893310092389584,
0.025405939668416977,
0.04870540648698807,
0.0009001721628010273,
-0.021012866869568825,
0.007253674324601889,
-0.03753874823451042,
0.05508514493703842,
0.01839875802397728,
-0.008162076584994793,
0.012900535948574543,
0... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2 | 2023-03-25T13:51:17Z | ---
tags:
- generated_from_trainer
model-index:
- name: poetry_gpt2
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. -->
# poetry_gpt2
This model is a fine-tuned ver... | [
-0.0192972794175148,
-0.026033475995063782,
-0.0014616900589317083,
0.045598212629556656,
0.03980453684926033,
-0.008007149212062359,
-0.0065162284299731255,
-0.013969029299914837,
-0.033906202763319016,
0.05895422399044037,
0.007672248873859644,
-0.019827071577310562,
0.004178945440798998,
... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_squad2.0 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | 2023-03-25T13:51:27Z | ---
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: 7.56 +/- 2.71... | [
-0.01836528815329075,
-0.015217934735119343,
-0.007940125651657581,
0.025332476943731308,
0.04866133630275726,
-0.0004077640187460929,
-0.020816264674067497,
0.006623790133744478,
-0.03747653588652611,
0.05294099822640419,
0.016437465324997902,
-0.008193448185920715,
0.012410863302648067,
... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 28 | null | https://wandb.ai/open-assistant/supervised-finetuning/runs/x2pczqa9 | [
-0.03953632712364197,
-0.02776336669921875,
-0.00030061224242672324,
0.03222472593188286,
0.03502996265888214,
0.010512374341487885,
-0.005674639716744423,
0.018545472994446754,
-0.05024828761816025,
0.012806639075279236,
0.017843009904026985,
0.009787439368665218,
0.009777477011084557,
0.... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa_copy | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
-0.0032972139306366444,
-0.018366821110248566,
0.014159996062517166,
0.022826235741376877,
0.031540822237730026,
0.011153388768434525,
0.002834268379956484,
-0.0005582915619015694,
-0.014095938764512539,
0.0533534474670887,
0.010868106037378311,
0.002592526376247406,
0.027246015146374702,
... |
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clickbait_classification_xlm_roberta
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
-0.03824661299586296,
0.005594539921730757,
0.0011827958514913917,
0.046642813831567764,
0.045651309192180634,
0.026653897017240524,
-0.017073174938559532,
-0.02099033258855343,
-0.03139471635222435,
0.0520053505897522,
0.04552752897143364,
-0.024731572717428207,
0.01112310029566288,
0.038... |
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofrea... | [
-0.02666996419429779,
-0.007589266169816256,
0.0008705290383659303,
0.035163041204214096,
0.018085574731230736,
0.018100712448358536,
-0.01809157058596611,
0.013201356865465641,
-0.03149161487817764,
0.07950464636087418,
0.019462905824184418,
-0.04039083048701286,
0.03745996579527855,
0.01... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.