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 |
|---|---|---|---|---|---|---|---|
CoffeeAddict93/gpt2-call-of-the-wild | [
"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... | 6 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04525637999176979,
-0.0011511628981679678,
-0.022022293880581856,
0.03213752806186676,
0.04386429488658905,
0.017843326553702354,
-0.018251784145832062,
-0.030613163486123085,
-0.03706880286335945,
0.06930001080036163,
0.02199866808950901,
0.0031504391226917505,
0.014557022601366043,
0.... |
CoffeeAddict93/gpt2-medium-call-of-the-wild | [
"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... | 14 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- comic book art
- visual art
- self art style
- duskfallcrew
widget:
- text: dskyart1
language:
- en
library_name: diffusers
---
### Duskfall Crew Visual Art Style 1.5 Dreambooth model trained by Duskfallcrew with
### [Hugging Face Dreambooth Training Space](ht... | [
-0.03436240926384926,
-0.03436172753572464,
-0.013251245953142643,
0.027017278596758842,
0.044357385486364365,
0.017282363027334213,
-0.025128819048404694,
-0.008362727239727974,
-0.004027212038636208,
0.051262207329273224,
0.04579508677124977,
0.011421913281083107,
-0.02061598002910614,
0... |
CoffeeAddict93/gpt2-medium-modest-proposal | [
"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... | 7 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.04097361117601395,
0.015440558083355427,
0.013950888998806477,
0.017552277073264122,
0.049167439341545105,
-0.012915448285639286,
-0.020268118008971214,
-0.023659303784370422,
-0.016652241349220276,
0.06819655746221542,
0.03654878959059715,
-0.00730971759185195,
0.012068509124219418,
-0... |
CoffeeAddict93/gpt2-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
library_name: 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... | [
-0.04981464892625809,
-0.015918390825390816,
-0.008994515985250473,
0.03659024089574814,
0.04144097864627838,
0.003081434639170766,
-0.021150846034288406,
-0.011027089320123196,
-0.03748838230967522,
0.05653809756040573,
0.025657637044787407,
-0.0030869480688124895,
0.03179655969142914,
0.... |
Connor/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... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: resnet-50-4-32
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args: default
metrics:
... | [
0.0019051623530685902,
-0.005038810893893242,
-0.01681785099208355,
0.03409302607178688,
0.03437088429927826,
0.0002689808316063136,
-0.0077938842587172985,
-0.003988693002611399,
-0.01058267243206501,
0.04381754994392395,
0.01006239466369152,
-0.0192122645676136,
0.008218109607696533,
0.0... |
Connorvr/TeachingGen | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | 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... | [
-0.049655523151159286,
-0.016461066901683807,
-0.009008407592773438,
0.03636062517762184,
0.04105445370078087,
0.003342787502333522,
-0.021231137216091156,
-0.010271255858242512,
-0.03812381252646446,
0.056991830468177795,
0.024468472227454185,
-0.00306555163115263,
0.03169272094964981,
0.... |
Contrastive-Tension/BERT-Base-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 5 | 2023-02-11T12:39:59Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tweet_instruct_detect
results: []
---
# tweet_instruct_detect
This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an dataset combining... | [
-0.0022408131044358015,
-0.011080894619226456,
-0.0074900793842971325,
0.05317956954240799,
0.0425659641623497,
0.02955455332994461,
-0.014598052948713303,
-0.009128017351031303,
-0.007949321530759335,
0.029512645676732063,
0.04133683443069458,
-0.009967709891498089,
-0.007730117999017239,
... |
Contrastive-Tension/BERT-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: resnet-50-0.007
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args: default
metrics:
... | [
0.0033441369887441397,
-0.007200527470558882,
-0.015231759287416935,
0.03514106944203377,
0.034914612770080566,
-0.0011709510581567883,
-0.006930478382855654,
-0.0035090544261038303,
-0.010432249866425991,
0.04524480924010277,
0.011819882318377495,
-0.020368602126836777,
0.005795282777398825... |
Contrastive-Tension/BERT-Large-NLI-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.04178755730390549,
-0.0007639661198481917,
-0.008209055289626122,
0.04990222305059433,
0.029000679031014442,
0.021791597828269005,
-0.024778973311185837,
-0.0372617170214653,
-0.005871286615729332,
0.04880605265498161,
0.019679544493556023,
-0.009166864678263664,
0.020129123702645302,
0... |
Cool/Demo | [] | 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 | 2023-02-11T13:10:16Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.045767806470394135,
-0.0007998025976121426,
-0.02209729515016079,
0.03205778822302818,
0.04356112331151962,
0.017843538895249367,
-0.018180545419454575,
-0.030326465144753456,
-0.037172675132751465,
0.06944349408149719,
0.022234130650758743,
0.0034647593274712563,
0.015143303200602531,
... |
Coolhand/Abuela | [
"en",
"image_restoration",
"superresolution",
"license:mit"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- tiagoblima/punctuation-tedtalk2012-t5
model-index:
- name: punctuation-tedtalk2012-t5-base
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... | [
-0.01923430897295475,
-0.028148604556918144,
-0.020442383363842964,
0.04970112442970276,
0.04174540191888809,
0.031847480684518814,
0.00046027309144847095,
0.011939100921154022,
-0.024618010967969894,
0.05518203601241112,
0.006311922799795866,
-0.036882005631923676,
0.00668239826336503,
0.... |
Coolhand/Sentiment | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
language:
- multilingual
- en
- ar
- bg
- de
- el
- es
- fr
- hi
- ru
- sw
- th
- tr
- ur
- vi
- zh
license: mit
tags:
- zero-shot-classification
- text-classification
- nli
- pytorch
metrics:
- accuracy
datasets:
- multi_nli
- xnli
pipeline_tag: zero-shot-classification
widget:
- text: "Angela Merk... | [
-0.010784849524497986,
-0.019029909744858742,
-0.0032992528285831213,
0.05906815081834793,
0.04045857489109039,
0.013442073948681355,
-0.015297855250537395,
-0.02305448427796364,
-0.030368175357580185,
0.062318965792655945,
0.019885454326868057,
-0.033617984503507614,
0.01709320954978466,
... |
CopymySkill/DialoGPT-medium-atakan | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- en
pipeline_tag: text2text-generation
tags:
- t5
---
```python
from transformers import T5ForConditionalGeneration
from transformers import T5TokenizerFast as T5Tokenizer
model = "svjack/summary-dialogue-eng"
device = "cpu"
tokenizer = T5Tokenizer.from_pretrained(model)
model = T5ForConditionalGenerati... | [
-0.008781654760241508,
-0.006151149515062571,
-0.008512473665177822,
0.04559863731265068,
0.02319159172475338,
0.01619090512394905,
-0.02536943554878235,
-0.01646224968135357,
-0.055304400622844696,
0.05125695839524269,
0.0008555981912650168,
0.002750846091657877,
-0.007618363481014967,
0.... |
CouchCat/ma_sa_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"sentiment-analysis",
"license:mit"
] | 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,
... | 38 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.0292340237647295,
0.01823023334145546,
0.003660630900412798,
0.009176398627460003,
0.04400138556957245,
-0.01899772323668003,
-0.021622175350785255,
-0.015784479677677155,
-0.029898837208747864,
0.0846095085144043,
0.01731882616877556,
-0.008446605876088142,
0.017369555309414864,
0.0164... |
Craak/GJ0001 | [] | 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:
- autotrain
- vision
- image-classification
datasets:
- davanstrien/autotrain-data-ia_covers
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Te... | [
-0.013184533454477787,
-0.0196668840944767,
0.01950891688466072,
0.04897734522819519,
0.046555619686841965,
-0.010553527623414993,
-0.012160154990851879,
0.006500348914414644,
-0.03903413563966751,
0.06472215056419373,
-0.0014688295777887106,
0.004718246404081583,
0.0033797139767557383,
0.... |
Craig/mGqFiPhu | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | {
"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 | 2023-02-11T13:49:18Z | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- davanstrien/autotrain-data-ia_covers
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Te... | [
-0.013558347709476948,
-0.017639536410570145,
0.019381480291485786,
0.047892119735479355,
0.04534408450126648,
-0.010374423116445541,
-0.01175119262188673,
0.007194864563643932,
-0.04006243869662285,
0.06524405628442764,
-0.0016748025082051754,
0.004623904824256897,
0.0036898537073284388,
... |
CrisLeaf/generador-de-historias-de-tolkien | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
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: 7.36 +/- 2.72... | [
-0.02047516405582428,
-0.016074083745479584,
-0.007624033838510513,
0.025565670803189278,
0.04772519692778587,
-0.0019721018616110086,
-0.018495768308639526,
0.0063338931649923325,
-0.03749877214431763,
0.051534052938222885,
0.01595718413591385,
-0.006680438760668039,
0.012674658559262753,
... |
CrypticT1tan/DialoGPT-medium-harrypotter | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
---
my trained lora
use masterpiece,best quality,art by lenaeightysix,1girl,ahoge,very long hair,silver hair, long sleeves,hair between eyes, bangs,medium breasts, buttons,belt,thighhighs,military uniform,pantyhose,looking at viewer
more steps lora see my dataset. suggest 10 | [
-0.019847724586725235,
-0.009502660483121872,
-0.003004232654348016,
0.03864046931266785,
0.050851959735155106,
-0.003521739738062024,
-0.006242932286113501,
-0.012133393436670303,
-0.012549083679914474,
0.04302176460623741,
0.026885388419032097,
-0.006845787633210421,
0.01789526268839836,
... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_1 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Pong-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pong-v4
type: Pong-v4
metrics:
- type: mean_... | [
-0.010736916214227676,
-0.0006483315955847502,
0.008507860824465752,
0.042046718299388885,
0.026543041691184044,
-0.02555936947464943,
-0.02206047624349594,
-0.02292748913168907,
-0.02654780074954033,
0.05309388414025307,
-0.006305200979113579,
-0.00020878987561445683,
0.003546834457665682,
... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_2 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: RL-Course-Unit_2-q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
val... | [
-0.014192428439855576,
-0.014117449522018433,
-0.006678960286080837,
0.028311055153608322,
0.050685204565525055,
-0.000664439401589334,
-0.022310128435492516,
0.0061369421891868114,
-0.04394255951046944,
0.05294067785143852,
0.010657820850610733,
-0.007288837339729071,
0.014184204861521721,
... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_ancc | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
language:
- multilingual
- en
- ar
- bg
- de
- el
- es
- fr
- hi
- ru
- sw
- th
- tr
- ur
- vi
- zh
license: mit
tags:
- zero-shot-classification
- text-classification
- nli
- pytorch
metrics:
- accuracy
datasets:
- multi_nli
- xnli
pipeline_tag: zero-shot-classification
widget:
- text: "Angela Merk... | [
-0.008367316797375679,
-0.016742784529924393,
-0.004834878724068403,
0.05817888677120209,
0.04045592248439789,
0.016216224059462547,
-0.01693403348326683,
-0.020786074921488762,
-0.02759500965476036,
0.06359706819057465,
0.02263614535331726,
-0.030941056087613106,
0.012561270035803318,
0.0... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2-finetuned-de-to-is_nr2 | [] | 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:
- classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sentence-acceptability
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split: val... | [
-0.0148100471124053,
-0.00862797349691391,
-0.014547030441462994,
0.06659162789583206,
0.07702255994081497,
0.020848512649536133,
-0.027681497856974602,
-0.01806660369038582,
-0.06374502927064896,
0.06722800433635712,
0.0038552898913621902,
-0.00032506807474419475,
0.022817211225628853,
0.... |
CurtisBowser/DialoGPT-medium-sora-three | [] | 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 | 2023-02-11T15:12:04Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.05233418568968773,
0.009055063128471375,
-0.009775960817933083,
0.06151847541332245,
0.028862494975328445,
0.02831115387380123,
0.00020132797362748533,
-0.03279031068086624,
-0.008672492578625679,
0.05185728892683983,
0.01616356335580349,
-0.012283856980502605,
0.005212766118347645,
0.0... |
CurtisBowser/DialoGPT-medium-sora-two | [
"pytorch",
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
-0.03533979505300522,
0.0047477418556809425,
0.00985952652990818,
0.02098524011671543,
0.03199946880340576,
0.009502013213932514,
-0.024171115830540657,
0.0021191160194575787,
-0.04644191265106201,
0.055050186812877655,
0.02754175290465355,
-0.024259835481643677,
0.014169139787554741,
0.03... |
CurtisBowser/DialoGPT-medium-sora | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
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
... | [
-0.037863586097955704,
-0.0028246280271559954,
-0.005351938307285309,
0.02510496787726879,
0.045181792229413986,
-0.021557461470365524,
-0.005305766128003597,
-0.02801499143242836,
-0.03320275619626045,
0.06624912470579147,
0.032599881291389465,
-0.023047393187880516,
0.022375790402293205,
... |
CurtisBowser/DialoGPT-small-sora | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Heroes-III-towns-model Dreambooth model trained by Haruzo with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A11... | [
-0.028117099776864052,
-0.01766996644437313,
-0.0336935818195343,
0.04790104925632477,
0.018978416919708252,
0.006645287852734327,
-0.005640785209834576,
-0.003785214852541685,
-0.01806015893816948,
0.03631077706813812,
0.03810614347457886,
-0.00267535331659019,
-0.016209978610277176,
0.02... |
CyberMuffin/DialoGPT-small-ChandlerBot | [
"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:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
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... | [
-0.03926266357302666,
-0.017074542120099068,
0.0028032215777784586,
0.04441455379128456,
0.030275076627731323,
0.0006829877384006977,
0.015483049675822258,
-0.0009647140395827591,
-0.025351349264383316,
0.02822471782565117,
0.045993246138095856,
-0.02883998118340969,
0.023788591846823692,
... |
Cyrell/Cyrell | [] | 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 | 2023-02-11T15:40:27Z | ---
datasets:
- laion/laion2B-en
---
# Model Card for Model ID
An OPT 125m trained on alt-text from LAION 2B.
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_templ... | [
-0.025492634624242783,
-0.01773006282746792,
-0.0009637690964154899,
0.051315728574991226,
0.026564499363303185,
0.013488906435668468,
-0.026534318923950195,
-0.03521226719021797,
-0.03201981633901596,
0.03536088764667511,
0.029200660064816475,
-0.001421119086444378,
0.013459707610309124,
... |
Czapla/Rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasif-muchocine-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 t... | [
-0.013639027252793312,
-0.002184793818742037,
0.0030486141331493855,
0.03369191288948059,
0.04986468330025673,
0.0223526768386364,
-0.0236385278403759,
-0.02429918386042118,
-0.031133152544498444,
0.059846874326467514,
0.02142195589840412,
-0.037890367209911346,
0.005342119373381138,
0.049... |
D3vil/DialoGPT-smaall-harrypotter | [] | 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 | 2023-02-11T16:02:41Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Cartpole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.0321989543735981,
0.01844366081058979,
0.0033426813315600157,
0.008161252364516258,
0.04424279183149338,
-0.020240165293216705,
-0.023479627445340157,
-0.016958575695753098,
-0.032236337661743164,
0.08558143675327301,
0.018067579716444016,
-0.010222003795206547,
0.017235340550541878,
0.... |
D3xter1922/electra-base-discriminator-finetuned-mnli | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
library_name: keras
---
Keras Stable Diffusion Instruct Pix 2 Pix Weights
https://github.com/mfidabel/instruct-pix-2-pix-tensorflow | [
-0.04862178862094879,
-0.02409953437745571,
-0.006512791384011507,
0.005068216007202864,
0.026090651750564575,
-0.0058126929216086864,
0.005852105095982552,
0.023228494450449944,
-0.014861887320876122,
0.05147293955087662,
-0.0020019994117319584,
0.012111169286072254,
0.0018348476151004434,
... |
D4RL1NG/yes | [] | 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
... | [
-0.03750205412507057,
-0.0027533373795449734,
-0.005195677746087313,
0.025623660534620285,
0.045641642063856125,
-0.021407214924693108,
-0.005485821980983019,
-0.02739410288631916,
-0.032901644706726074,
0.06655559688806534,
0.03211374953389168,
-0.023650318384170532,
0.023122677579522133,
... |
DCU-NLP/bert-base-irish-cased-v1 | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"generated_from_keras_callback",
"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... | 1,244 | null | Pre-converted model for ddPn08/Lsmith
=============
[ddPn08/Lsmith](https://github.com/ddPn08/Lsmith)
## How to use
1. Download the Pre-converted model and place it in the models folder.
2. Download the Diffusers type model in the org folder of this repository.
3. You must edit the model_index.json of the pre-converted... | [
-0.04844546318054199,
-0.005811617709696293,
-0.010512457229197025,
0.021600039675831795,
0.038763828575611115,
0.01966734789311886,
-0.019345492124557495,
0.0032135839574038982,
-0.03688262775540352,
0.05064718797802925,
0.030225953087210655,
-0.009004336781799793,
0.017069846391677856,
0... |
DJSammy/bert-base-swedish-uncased_BotXO-ai | [
"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... | 1 | 2023-02-11T16:46:40Z | ---
license: creativeml-openrail-m
tags:
- anime
---
# Hogwart uniforms LoRA
[<img src="https://huggingface.co/Aotsuyu/HogwartLora/resolve/main/images/0.png" width="800" height="512">](https://huggingface.co/Aotsuyu/HogwartLora/resolve/main/images/0.png)
A LoRA for Hogwart uniforms, since Hogwarts Legacy renewed peopl... | [
-0.005373307969421148,
-0.01682668924331665,
-0.017964385449886322,
0.05102791264653206,
0.038701772689819336,
-0.004614681471139193,
-0.00990931037813425,
0.0050617391243577,
-0.03163542598485947,
0.06189467012882233,
0.013027792796492577,
-0.00583399785682559,
0.00940724741667509,
0.0173... |
DJStomp/TestingSalvoNET | [
"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... | 1 | 2023-02-11T16:50:11Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.032625891268253326,
-0.0015794128412380815,
-0.019929122179746628,
0.05134958028793335,
0.0387430265545845,
0.027087392285466194,
-0.0011208852520212531,
-0.03626849502325058,
-0.02614871971309185,
0.0484628900885582,
0.024112220853567123,
-0.00470053032040596,
0.01971038244664669,
0.02... |
DKpro000/DialoGPT-small-harrypotter | [] | 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 | 2023-02-11T16:54:47Z | ---
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
... | [
-0.039920903742313385,
-0.01615358144044876,
-0.015603381209075451,
0.03724711015820503,
0.04853169247508049,
-0.0053463769145309925,
-0.013781062327325344,
-0.024804499000310898,
-0.030640745535492897,
0.05388038232922554,
0.022762194275856018,
-0.032314982265233994,
0.01864204742014408,
... |
DLNLP/t5-small-finetuned-xsum | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04573137313127518,
-0.0005316721508279443,
-0.021734002977609634,
0.032406751066446304,
0.0435120090842247,
0.017740702256560326,
-0.01791117899119854,
-0.03080139122903347,
-0.03706270083785057,
0.06899601966142654,
0.02233797311782837,
0.0037432739045470953,
0.015141945332288742,
0.02... |
DTAI-KULeuven/robbertje-1-gb-bort | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 6 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: ALBARANV2
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. -->
# ALBARANV2
This mode... | [
-0.03107159212231636,
-0.017001159489154816,
-0.03500571846961975,
0.06879761070013046,
0.03756939247250557,
0.007313991896808147,
0.004240031354129314,
-0.01715865172445774,
-0.03503284230828285,
0.049577344208955765,
0.04753633961081505,
-0.02813701704144478,
-0.002538162050768733,
0.033... |
DTAI-KULeuven/robbertje-1-gb-non-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 53 | null | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-subjqa-movies_1110pm
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. -->
... | [
-0.01591404527425766,
-0.025204945355653763,
-0.0068000988103449345,
0.031125256791710854,
0.043851982802152634,
0.035624150186777115,
-0.03116605244576931,
0.00894002616405487,
-0.03132140636444092,
0.04817424714565277,
0.05085469037294388,
-0.01923857070505619,
0.015181904658675194,
0.05... |
alexandrainst/da-hatespeech-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 866 | 2023-02-11T17:23:33Z | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | [
-0.02693440206348896,
-0.027655990794301033,
-0.016232503578066826,
0.015327099710702896,
0.020134590566158295,
0.001456205965951085,
-0.02041810378432274,
-0.015235931612551212,
-0.037043243646621704,
0.04639555141329765,
0.01931697130203247,
-0.007575725205242634,
0.021296285092830658,
0... |
alexandrainst/da-hatespeech-detection-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 1,719 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
-0.023174645379185677,
0.013564621098339558,
-0.02843804471194744,
0.036175720393657684,
0.054296061396598816,
0.02959541231393814,
-0.017427969723939896,
-0.029152914881706238,
-0.03956684097647667,
0.05902515724301338,
0.02812068723142147,
-0.04619366303086281,
0.028045672923326492,
0.04... |
alexandrainst/da-ner-base | [
"pytorch",
"tf",
"bert",
"token-classification",
"da",
"dataset:dane",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 78 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: vgm_model_0.2
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: sroie
type: sroie
config: discharge
... | [
-0.008761674165725708,
0.0027250091079622507,
-0.0004286603070795536,
0.01766168884932995,
0.052357014268636703,
0.009256107732653618,
-0.014713427983224392,
-0.008551272563636303,
-0.029979389160871506,
0.05934908613562584,
0.04397447407245636,
-0.034101761877536774,
0.01418742910027504,
... |
alexandrainst/da-sentiment-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"arxiv:1910.09700",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 1,432 | 2023-02-11T17:44:09Z | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
---
Original:
https://huggingface.co/junjuice0/VOXO | [
-0.015676235780119896,
-0.018510686233639717,
0.009961607865989208,
0.011142442002892494,
0.05251660943031311,
0.008138866163790226,
0.0064760176464915276,
-0.00031235936330631375,
-0.00390649726614356,
0.03473051264882088,
0.021706994622945786,
0.002316152909770608,
0.01590014062821865,
0... |
alexandrainst/da-subjectivivity-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"dataset:DDSC/twitter-sent",
"dataset:DDSC/europarl",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 846 | 2023-02-11T17:46:30Z | ---
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... | [
-0.05043340101838112,
-0.015761790797114372,
-0.008593051694333553,
0.03658740967512131,
0.040829602628946304,
0.0021929459180682898,
-0.021342072635889053,
-0.011452759616076946,
-0.03692246228456497,
0.05725916847586632,
0.024622248485684395,
-0.00353805348277092,
0.03173978254199028,
0.... |
alexandrainst/da-ned-base | [
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | 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,
... | 25 | 2023-02-11T17:58:06Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.05152885615825653,
0.007892664521932602,
-0.008656997233629227,
0.05904124304652214,
0.02666935883462429,
0.03211875259876251,
-0.003576630726456642,
-0.03349250182509422,
-0.0025773036759346724,
0.051770150661468506,
0.019511522725224495,
-0.013009782880544662,
0.007401231210678816,
0.... |
DaWang/demo | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.032414212822914124,
-0.0027337968349456787,
-0.01878153532743454,
0.05086646229028702,
0.03881729766726494,
0.02575388364493847,
-0.0008201105520129204,
-0.03637801855802536,
-0.027655167505145073,
0.047743648290634155,
0.022958191111683846,
-0.004568347707390785,
0.021800870075821877,
... |
Daiki/scibert_scivocab_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 | 2023-02-11T18:16:58Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-in21k-finetuned-lora-food101
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
config: ... | [
-0.011220532469451427,
0.006090366281569004,
0.008501828648149967,
0.0430239699780941,
0.0367966927587986,
-0.01447757612913847,
-0.008144521154463291,
-0.00032758450834080577,
-0.012900030240416527,
0.05864321440458298,
0.028926454484462738,
-0.029465606436133385,
0.013020849786698818,
0.... |
DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | [
"pytorch",
"tensorboard",
"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... | 7 | 2023-02-11T18:23:06Z | ---
language:
- fr
library_name: nemo
datasets:
- multilingual_librispeech
- mozilla-foundation/common_voice_7_0
- VoxPopuli
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- Transducer
- Conformer
- Transformer
- pytorch
- NeMo
- hf-asr-leaderboard
license: cc-by-4.0
mod... | [
-0.02526017837226391,
-0.035809390246868134,
-0.012559338472783566,
0.027698535472154617,
0.04814481735229492,
0.017705798149108887,
-0.018019838258624077,
-0.02359016239643097,
-0.04569029062986374,
0.06532125920057297,
0.021106263622641563,
-0.010352668352425098,
-0.0059654610231518745,
... |
DanBot/TCRsynth | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
language: ja
tags:
- luke
- pytorch
- transformers
- jnli
- natural-language-inference
- NaturalLanguageInference
---
# このモデルはluke-japanese-baseをファインチューニングして、JNLI(文章の関係性判別)に用いれるようにしたものです。
このモデルはluke-japanese-baseを
yahoo japan/JGLUEのJNLI( https://github.com/yahoojapan/JGLUE... | [
-0.01692826859652996,
-0.014713229611515999,
-0.010052585043013096,
0.026143396273255348,
0.024886025115847588,
0.037536416202783585,
-0.00438649719581008,
-0.01700901798903942,
-0.04049353301525116,
0.05797724425792694,
0.037450361996889114,
-0.03093542903661728,
0.0332941934466362,
0.029... |
Danbi/distilroberta-base-finetuned-wikitext2 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.05189972370862961,
0.006752612069249153,
-0.006892911158502102,
0.058445218950510025,
0.026798764243721962,
0.031322330236434937,
-0.0033645611256361008,
-0.034698810428380966,
-0.0037460012827068567,
0.051080238074064255,
0.01902860775589943,
-0.012258638627827168,
0.009556743316352367,
... |
Danih1502/t5-base-finetuned-en-to-de | [] | 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 | 2023-02-11T18:43:09Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: me... | [
-0.029914654791355133,
0.018112078309059143,
0.004555725026875734,
0.008988038636744022,
0.04459257051348686,
-0.01847217045724392,
-0.02170376479625702,
-0.0160978976637125,
-0.030548902228474617,
0.08529062569141388,
0.01829267293214798,
-0.009210131131112576,
0.017191607505083084,
0.016... |
DannyMichael/ECU911 | [] | 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 | 2023-02-11T18:45:51Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wnut_17
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_wnut_model
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut_17
type: wnut_17
config: wn... | [
-0.032346200197935104,
-0.0038189159240573645,
-0.018049949780106544,
0.029964786022901535,
0.03646178916096687,
0.01872486248612404,
-0.017430001869797707,
-0.02475043758749962,
-0.015412448905408382,
0.07151152193546295,
0.047738250344991684,
-0.002310915384441614,
-0.009536351077258587,
... |
Darein/Def | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: dummy_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#... | [
-0.02147296443581581,
-0.014683505520224571,
-0.01913076639175415,
0.058594707399606705,
0.06079060584306717,
0.015804961323738098,
-0.011143842712044716,
0.02054331637918949,
-0.037848565727472305,
0.04319125786423683,
0.023895666003227234,
-0.011298982426524162,
0.014345329254865646,
0.0... |
DarkKibble/DialoGPT-medium-Tankman | [] | 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
language: en
datasets:
- sst2
metrics:
- precision
- recall
- f1
tags:
- text-classification
---
# GPT-2-medium fine-tuned for Sentiment Analysis 👍👎
[OpenAI's GPT-2](https://openai.com/blog/tags/gpt-2/) medium fine-tuned on [SST-2](https://huggingface.co/datasets/st2) dataset for **Sentimen... | [
0.00488520972430706,
-0.02355106920003891,
-0.01973111554980278,
0.045331716537475586,
0.04382346197962761,
0.026876190677285194,
-0.006997544318437576,
-0.005343096796423197,
-0.02549159713089466,
0.055844224989414215,
0.031096791848540306,
-0.024522390216588974,
0.020284220576286316,
0.0... |
DarkWolf/kn-electra-small | [
"pytorch",
"electra",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": ... | 4 | 2023-02-11T18:58:42Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04584037885069847,
-0.001186290057376027,
-0.022242775186896324,
0.03253312408924103,
0.04352421686053276,
0.018257757648825645,
-0.018317772075533867,
-0.030652139335870743,
-0.0370778925716877,
0.06909310072660446,
0.02163543738424778,
0.0033548735082149506,
0.014962590299546719,
0.02... |
DarkestSky/distilbert-base-uncased-finetuned-ner | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: AlbaranV3
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: sroie
type: sroie
config: discharge
... | [
-0.01983107626438141,
-0.006866022013127804,
-0.018671181052923203,
0.04353082552552223,
0.05638834461569786,
-0.00031371263321489096,
-0.023839272558689117,
-0.0191715769469738,
-0.03682189807295799,
0.05545525997877121,
0.05043886974453926,
-0.02992890775203705,
-0.004650705028325319,
0.... |
Darkrider/covidbert_mednli | [
"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:
- conversational
---
#Mental Health Support Chatbot | [
-0.037973783910274506,
0.00945888739079237,
-0.008492838591337204,
0.02573580853641033,
0.018090568482875824,
0.01843699812889099,
-0.007869656197726727,
0.0246188435703516,
-0.021702105179429054,
0.025930700823664665,
0.046483319252729416,
0.0011447124416008592,
0.008696694858372211,
0.06... |
DarshanDeshpande/marathi-distilbert | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 14 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Mareşal Fevzi Çakmak DreamShaper fine-tune
Test the model via TheLastBen's A1111 Colab: [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
... | [
-0.008973841555416584,
-0.023350553587079048,
-0.025407297536730766,
0.04392663761973381,
0.041740935295820236,
0.010583464056253433,
-0.008670911192893982,
0.006826592609286308,
-0.021638503298163414,
0.056971315294504166,
0.03512546420097351,
-0.015345064923167229,
-0.01814456470310688,
... |
Darya/layoutlmv2-finetuned-funsd-test | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: restaurant_HSR_test
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. -->
# ... | [
-0.023800084367394447,
-0.017057539895176888,
-0.005181307438760996,
0.05321742966771126,
0.01893392764031887,
0.001683716895058751,
-0.011629261076450348,
0.015574471093714237,
-0.04059090092778206,
0.06935468316078186,
0.02877791039645672,
-0.023914329707622528,
0.010905152186751366,
0.0... |
Daryaflp/roberta-retrained_ru_covid | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 3 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02602255530655384,
-0.025995606556534767,
-0.019389251247048378,
0.06130566447973251,
0.029537076130509377,
0.03329938277602196,
-0.017739735543727875,
0.009592223912477493,
-0.06493216007947922,
0.08148334175348282,
0.029114754870533943,
0.013342106714844704,
0.007220544386655092,
0.03... |
DataikuNLP/distiluse-base-multilingual-cased-v1 | [
"pytorch",
"distilbert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": [
"DistilBertModel"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 29 | 2023-02-11T19:38:30Z | this is trained on over 600 images of GPUs.
training has ended | [
-0.0195790883153677,
-0.013351503759622574,
-0.015616211108863354,
0.011937838979065418,
0.05826467275619507,
0.007771127857267857,
0.0018264392856508493,
-0.007407410070300102,
-0.033347390592098236,
0.01750681735575199,
0.015809638425707817,
-0.00524483248591423,
0.0011503089917823672,
0... |
DataikuNLP/paraphrase-MiniLM-L6-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"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... | 25 | 2023-02-11T19:41:39Z | ---
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
... | [
-0.03966578468680382,
-0.01687616854906082,
-0.016406795009970665,
0.035799331963062286,
0.04913593456149101,
-0.005114507395774126,
-0.014291792176663876,
-0.024208808317780495,
-0.03024357184767723,
0.05414794012904167,
0.02257724106311798,
-0.03057858720421791,
0.01827901042997837,
0.01... |
DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"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... | 1,517 | 2023-02-11T19:50:43Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04544946551322937,
-0.0009422301081940532,
-0.02180793695151806,
0.032562196254730225,
0.04369286075234413,
0.017663639038801193,
-0.018052874132990837,
-0.03087213821709156,
-0.037217870354652405,
0.0695309117436409,
0.02247830294072628,
0.0030684100929647684,
0.015153532847762108,
0.0... |
DavidAMcIntosh/DialoGPT-small-rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-02-11T19:55:23Z | ---
license: openrail
tags:
- generated_from_trainer
- clojure
- codegen
model-index:
- name: santacoder-finetuned-the-stack-clojure
results: []
datasets:
- bigcode/the-stack-dedup
language:
- code
pipeline_tag: text-generation
---
# SantaCoder 🎅 fine-tuned on Clojure <img src="https://openclipart.org/image/800px/2... | [
-0.0009332095505669713,
-0.026393871754407883,
-0.001709428965114057,
0.04531828314065933,
0.04318690672516823,
0.03563891723752022,
-0.03174985200166702,
-0.008349946700036526,
-0.02169867791235447,
0.05483188480138779,
0.009690478444099426,
-0.010025912895798683,
0.004913426470011473,
0.... |
DavidSpaceG/MSGIFSR | [] | 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
datasets:
- glue
- fka/awesome-chatgpt-prompts
language:
- an
metrics:
- accuracy
- bertscore
- bleu
- character
- code_eval
- cer
library_name: adapter-transformers
pipeline_tag: feature-extraction
tags:
- code
- biology
- finance
---
# Model Card for Model ID
<!-- Provide a quick summary of w... | [
-0.019755715504288673,
-0.016332732513546944,
0.010959014296531677,
0.00996629148721695,
0.040785644203424454,
0.026058649644255638,
-0.010542700067162514,
-0.009686348959803581,
-0.014830459840595722,
0.0566934309899807,
0.038985274732112885,
-0.010545027442276478,
0.02217220328748226,
0.... |
Davlan/bert-base-multilingual-cased-finetuned-hausa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 151 | 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
... | [
-0.037144336849451065,
-0.002755574183538556,
-0.004931975156068802,
0.026025427505373955,
0.045776478946208954,
-0.021107060834765434,
-0.005460256710648537,
-0.028070393949747086,
-0.033304013311862946,
0.06654845923185349,
0.03261189162731171,
-0.023652885109186172,
0.023477939888834953,
... |
Davlan/bert-base-multilingual-cased-finetuned-igbo | [
"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... | 15 | 2023-02-11T20:12:48Z | ---
tags:
- conversational
---
#Mental Health Support Chatbot | [
-0.037973783910274506,
0.00945888739079237,
-0.008492838591337204,
0.02573580853641033,
0.018090568482875824,
0.01843699812889099,
-0.007869656197726727,
0.0246188435703516,
-0.021702105179429054,
0.025930700823664665,
0.046483319252729416,
0.0011447124416008592,
0.008696694858372211,
0.06... |
Davlan/bert-base-multilingual-cased-finetuned-luganda | [
"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... | 16 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: AlbaranV3_Large
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: sroie
type: sroie
config: discharge... | [
-0.021482126787304878,
-0.004826749674975872,
-0.014798167161643505,
0.04341476783156395,
0.059023428708314896,
-0.005805458407849073,
-0.025339234620332718,
-0.02880214713513851,
-0.029372168704867363,
0.05685979872941971,
0.05389201641082764,
-0.0277839507907629,
-0.004209991544485092,
0... |
Davlan/bert-base-multilingual-cased-finetuned-luo | [
"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... | 11 | 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
... | [
-0.037137772887945175,
-0.0031209057196974754,
-0.005095676053315401,
0.026032226160168648,
0.04573127254843712,
-0.021310001611709595,
-0.005326163023710251,
-0.028147529810667038,
-0.03340419381856918,
0.0662849023938179,
0.03266400843858719,
-0.023601874709129333,
0.022729022428393364,
... |
Davlan/bert-base-multilingual-cased-finetuned-naija | [
"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... | 13 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.04109702631831169,
0.015752362087368965,
0.013982709497213364,
0.01731233112514019,
0.04883555322885513,
-0.013433244079351425,
-0.01991679146885872,
-0.023472260683774948,
-0.017092490568757057,
0.06841883808374405,
0.03659069538116455,
-0.007225967012345791,
0.011830887757241726,
-0.0... |
Davlan/bert-base-multilingual-cased-finetuned-swahili | [
"pytorch",
"tf",
"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... | 67 | 2023-02-11T20:28:46Z | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
-0.021706635132431984,
-0.033120911568403244,
0.0069284033961594105,
0.022917678579688072,
0.010587208904325962,
0.024608587846159935,
-0.02954155206680298,
-0.016725419089198112,
-0.028829533606767654,
0.032675109803676605,
0.03176262229681015,
0.010438955388963223,
0.04351669177412987,
0... |
Davlan/bert-base-multilingual-cased-finetuned-yoruba | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21 | 2023-02-11T20:40:50Z | ---
tags:
- conversational
---
#Mental Health Support Chatbot | [
-0.037973783910274506,
0.00945888739079237,
-0.008492838591337204,
0.02573580853641033,
0.018090568482875824,
0.01843699812889099,
-0.007869656197726727,
0.0246188435703516,
-0.021702105179429054,
0.025930700823664665,
0.046483319252729416,
0.0011447124416008592,
0.008696694858372211,
0.06... |
Davlan/byt5-base-eng-yor-mt | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 11 | 2023-02-11T20:43:16Z | ---
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... | [
-0.050246693193912506,
-0.01596870832145214,
-0.0084227304905653,
0.03611037880182266,
0.04051816835999489,
0.002519224537536502,
-0.020823130384087563,
-0.010590567253530025,
-0.03749238699674606,
0.05738074705004692,
0.02485661394894123,
-0.0034850705415010452,
0.03193684667348862,
0.002... |
Davlan/byt5-base-yor-eng-mt | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-gec
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. -... | [
-0.021548446267843246,
-0.007571567315608263,
0.0007823002524673939,
0.0251990407705307,
0.044920407235622406,
0.007400007452815771,
-0.02249770052731037,
-0.009684843942523003,
-0.03982962295413017,
0.054576046764850616,
0.03220453858375549,
-0.024590935558080673,
0.007409530691802502,
0.... |
Davlan/distilbert-base-multilingual-cased-masakhaner | [
"pytorch",
"tf",
"distilbert",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 16 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- gakki
pipeline: text-to-image
---
# VAE
Highly recommended for use with VAE
# legal & risk
⚠️⚠ It is prohibited to use this model for commercial purposes and any scenarios of illegal acts and purposes.
Sample pictures of this concept:
... | [
-0.012252025306224823,
-0.04768449440598488,
0.002076859353110194,
0.011533387005329132,
0.03536491096019745,
0.001215093769133091,
0.02179747447371483,
0.0060879080556333065,
-0.021012503653764725,
0.05696123093366623,
0.019117912277579308,
-0.00795635674148798,
0.049755774438381195,
0.04... |
Davlan/mT5_base_yoruba_adr | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2003.10564",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 5 | null | ---
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-resenas-amazon
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
-0.036347150802612305,
-0.00338007602840662,
-0.0007901019998826087,
0.028695648536086082,
0.03193231299519539,
0.031186001375317574,
-0.015439213253557682,
-0.003362570656463504,
-0.05485004931688309,
0.05588216334581375,
0.028011640533804893,
-0.014449975453317165,
-0.00833959225565195,
... |
Davlan/mt5-small-en-pcm | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | 2023-02-11T21:13:21Z | ---
tags:
- conversational
---
#Mental Health Support Chatbot | [
-0.037973783910274506,
0.00945888739079237,
-0.008492838591337204,
0.02573580853641033,
0.018090568482875824,
0.01843699812889099,
-0.007869656197726727,
0.0246188435703516,
-0.021702105179429054,
0.025930700823664665,
0.046483319252729416,
0.0011447124416008592,
0.008696694858372211,
0.06... |
Davlan/mt5-small-pcm-en | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | 2023-02-11T21:22:36Z | ---
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... | [
-0.049577951431274414,
-0.016062067821621895,
-0.008357192389667034,
0.0362221859395504,
0.04112064838409424,
0.0030832707416266203,
-0.021290214732289314,
-0.010785835795104504,
-0.03781840205192566,
0.05657011643052101,
0.024878287687897682,
-0.002669406123459339,
0.031448230147361755,
0... |
Davlan/mt5_base_eng_yor_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 2 | 2023-02-11T21:28:20Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.040214091539382935,
-0.0025598336942493916,
-0.006880604196339846,
0.04926963150501251,
0.02953987941145897,
0.021442079916596413,
-0.024267883971333504,
-0.037349797785282135,
-0.007468735333532095,
0.05000938102602959,
0.01935548521578312,
-0.008814800530672073,
0.02191963419318199,
0... |
Davlan/mt5_base_yor_eng_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- isometric
- art
- stable diffusion
- stable diffusion 1.5
- duskfallcrew
widget:
- text: duskametrick15
language:
- en
---
[![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696... | [
-0.033477090299129486,
-0.029081759974360466,
-0.014303921721875668,
0.0330348014831543,
0.04401259124279022,
0.012532560154795647,
-0.024044638499617577,
-0.011166141368448734,
-0.01580287143588066,
0.04512396827340126,
0.048338063061237335,
0.022302597761154175,
-0.03851659595966339,
0.0... |
Davlan/naija-twitter-sentiment-afriberta-large | [
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"arxiv:2201.08277",
"transformers",
"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,
... | 61 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.021992767229676247,
-0.005071084480732679,
0.01036424282938242,
0.03949418663978577,
0.032408494502305984,
0.014870421960949898,
-0.028499752283096313,
-0.016273435205221176,
-0.015485082753002644,
0.06130014359951019,
0.006044192239642143,
0.0008225096389651299,
0.010006937198340893,
0... |
Davlan/xlm-roberta-base-finetuned-amharic | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 401 | 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... | [
-0.05007653310894966,
-0.015836182981729507,
-0.00821708794683218,
0.036234237253665924,
0.04092065989971161,
0.002376195276156068,
-0.02114112861454487,
-0.011133736930787563,
-0.037645451724529266,
0.057174570858478546,
0.02498493157327175,
-0.0032688139472156763,
0.03168051689863205,
0.... |
Davlan/xlm-roberta-base-finetuned-chichewa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | 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
... | [
-0.037516999989748,
-0.003002314595505595,
-0.005296462215483189,
0.02559804916381836,
0.04597066715359688,
-0.02114187926054001,
-0.0054944828152656555,
-0.027501240372657776,
-0.03326835110783577,
0.06658414006233215,
0.032130323350429535,
-0.023706864565610886,
0.022769249975681305,
0.0... |
Davlan/xlm-roberta-base-finetuned-kinyarwanda | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 61 | 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
... | [
-0.03767811879515648,
-0.0031385973561555147,
-0.005220111925154924,
0.025071347132325172,
0.045621756464242935,
-0.021338680759072304,
-0.005455275531858206,
-0.027339087799191475,
-0.033235520124435425,
0.06677626073360443,
0.03179533779621124,
-0.023301025852560997,
0.022783292457461357,
... |
Davlan/xlm-roberta-base-finetuned-luganda | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 11 | null | ---
license: apache-2.0
library_name: sklearn
tags:
- tabular-classification
- baseline-trainer
---
## Baseline Model trained on accentcombinedlenous8ktq9 to apply classification on accent
**Metrics of the best model:**
accuracy 0.947980
recall_macro 0.749094
precision_macro 0.622545
f1_macro ... | [
0.003224998479709029,
-0.004014745354652405,
-0.017680572345852852,
0.05935100466012955,
0.015152056701481342,
0.014118802733719349,
-0.016136927530169487,
0.01226663589477539,
-0.05114525929093361,
0.05877217277884483,
0.0035806421656161547,
-0.047223348170518875,
0.024030886590480804,
0.... |
Davlan/xlm-roberta-base-finetuned-luo | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null |
# 🍌 Stable Diffusion WebUI for banana (Stable Diffusion 1.5)
Deploy an API for AUTOMATIC1111's [Stable Diffusion WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) to generate images with **Stable Diffusion 1.5**.
Supports features not available in other Stable Diffusion templates, such as:
* [Prompt ... | [
-0.008554109372198582,
-0.015961650758981705,
-0.002543230075389147,
0.05337391048669815,
0.04906432703137398,
-0.008832168765366077,
0.03561515361070633,
-0.012610195204615593,
-0.017607588320970535,
0.042773522436618805,
0.02081114426255226,
-0.005775223020464182,
0.023409655317664146,
0... |
Davlan/xlm-roberta-base-finetuned-naija | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: finetuning-emotion-model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split
split: val... | [
-0.01290527917444706,
0.0003423180023673922,
-0.0034073006827384233,
0.030817098915576935,
0.0518011599779129,
0.022854110226035118,
-0.023071983829140663,
-0.02548816427588463,
-0.029174303635954857,
0.053053118288517,
0.013086817227303982,
-0.043708328157663345,
0.03780810162425041,
0.04... |
Davlan/xlm-roberta-base-finetuned-yoruba | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 29 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02602255530655384,
-0.025995606556534767,
-0.019389251247048378,
0.06130566447973251,
0.029537076130509377,
0.03329938277602196,
-0.017739735543727875,
0.009592223912477493,
-0.06493216007947922,
0.08148334175348282,
0.029114754870533943,
0.013342106714844704,
0.007220544386655092,
0.03... |
Davlan/xlm-roberta-base-finetuned-zulu | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 3 | 2023-02-11T22:45:27Z | ---
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-resenas-amazon2
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 comme... | [
-0.02686978690326214,
0.00024357973597943783,
0.007031736429780722,
0.036835040897130966,
0.03136449679732323,
0.01825759932398796,
-0.009557235054671764,
0.0015733144246041775,
-0.051058124750852585,
0.05770896375179291,
0.019045792520046234,
-0.01869029738008976,
-0.0019050086848437786,
... |
Davlan/xlm-roberta-base-ner-hrl | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 760 | 2023-02-11T22:52:52Z | ---
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... | [
-0.005154892802238464,
0.005918804556131363,
-0.01586666703224182,
0.015840446576476097,
0.05689038708806038,
-0.028675826266407967,
0.007400864269584417,
-0.03241696581244469,
-0.027192436158657074,
0.06705335527658463,
0.027242105454206467,
-0.027375420555472374,
-0.00041987880831584334,
... |
Davlan/xlm-roberta-base-wikiann-ner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 235 | 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... | [
-0.014175870455801487,
-0.016352703794836998,
-0.0072600385174155235,
0.02982609160244465,
0.05260767787694931,
-0.017755378037691116,
-0.013389123603701591,
-0.00900302454829216,
-0.057336192578077316,
0.05152784660458565,
-0.00021531674428842962,
-0.010566582903265953,
0.02352171763777733,... |
Davlan/xlm-roberta-large-masakhaner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 1,449 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: rl-unit2-taxiv3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/... | [
-0.01698896288871765,
-0.013680612668395042,
-0.009111477993428707,
0.02961076609790325,
0.05014071241021156,
0.0015693698078393936,
-0.021754348650574684,
0.0049045695923268795,
-0.03728996589779854,
0.05277414619922638,
0.01639566197991371,
-0.007150919176638126,
0.01037689670920372,
0.0... |
Davlan/xlm-roberta-large-ner-hrl | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 1,322 | 2023-02-11T23:07:57Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02602255530655384,
-0.025995606556534767,
-0.019389251247048378,
0.06130566447973251,
0.029537076130509377,
0.03329938277602196,
-0.017739735543727875,
0.009592223912477493,
-0.06493216007947922,
0.08148334175348282,
0.029114754870533943,
0.013342106714844704,
0.007220544386655092,
0.03... |
Dayout/test | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
language:
- tr
tags:
- deprem-clf-v1
metrics:
- accuracy
- recall
- f1
library_name: transformers
pipeline_tag: text-classification
model-index:
- name: deprem_v12
results:
- task:
type: text-classification
dataset:
type: deprem_private_dataset_v... | [
0.01774819754064083,
-0.014689645729959011,
-0.008578237146139145,
0.029476620256900787,
0.04867420345544815,
0.014867850579321384,
-0.02434356138110161,
0.0003914427652489394,
-0.06165142357349396,
0.07545733451843262,
0.020113658159971237,
-0.02536987140774727,
0.000697862938977778,
0.03... |
Dazai/Ko | [] | 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 | 2023-02-11T23:20:37Z | ---
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
... | [
-0.037400469183921814,
-0.0027957139536738396,
-0.005469581577926874,
0.02547219768166542,
0.045521777123212814,
-0.021629882976412773,
-0.005536249373108149,
-0.028224267065525055,
-0.033042266964912415,
0.0667763501405716,
0.032721057534217834,
-0.023554621264338493,
0.022234853357076645,
... |
Dbluciferm3737/Idk | [] | 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 | 2023-02-11T23:33:04Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02602255530655384,
-0.025995606556534767,
-0.019389251247048378,
0.06130566447973251,
0.029537076130509377,
0.03329938277602196,
-0.017739735543727875,
0.009592223912477493,
-0.06493216007947922,
0.08148334175348282,
0.029114754870533943,
0.013342106714844704,
0.007220544386655092,
0.03... |
Dbluciferm3737/U | [] | 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 | 2023-02-11T23:34:04Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Deysi/mt5-small-sumarizacion-es
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. -->
# De... | [
-0.031078100204467773,
-0.017109615728259087,
0.010984394699335098,
0.010272761806845665,
0.03331463411450386,
0.004720005672425032,
-0.018949734047055244,
-0.008149848319590092,
-0.03801839426159859,
0.06154114380478859,
0.01743074133992195,
-0.02778390236198902,
0.014160438440740108,
0.0... |
Ddarkros/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 | 2023-02-11T23:34:08Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02602255530655384,
-0.025995606556534767,
-0.019389251247048378,
0.06130566447973251,
0.029537076130509377,
0.03329938277602196,
-0.017739735543727875,
0.009592223912477493,
-0.06493216007947922,
0.08148334175348282,
0.029114754870533943,
0.013342106714844704,
0.007220544386655092,
0.03... |
DecafNosebleed/DialoGPT-small-ScaraBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | null | ---
library_name: stable-baselines3
tags:
- 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... | [
-0.049450986087322235,
-0.016298364847898483,
-0.008837563917040825,
0.03666815534234047,
0.0413142591714859,
0.0032033256720751524,
-0.02137988992035389,
-0.010580170899629593,
-0.03780825436115265,
0.056912656873464584,
0.02441362477838993,
-0.0031103279907256365,
0.0320763923227787,
0.0... |
Declan/ChicagoTribune_model_v7 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
---
## Model Description
finetuned using aitextgen on a dataset including philosophy books, r/showerthoughts, and original texts generated by chatGPT.
Please report any offensive content, etc!
- **Developed by:** Colleen Macklin
- **Model type:** GPT Neo Small (125m)
- **Language(s) (NLP):** e... | [
-0.005136446561664343,
0.006556354463100433,
0.002050289185717702,
0.014215500093996525,
0.06234459951519966,
0.01158591266721487,
0.01095859706401825,
0.00467872666195035,
-0.045469675213098526,
0.049733612686395645,
0.029522212222218513,
-0.003986077848821878,
0.016539128497242928,
0.025... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.