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 |
|---|---|---|---|---|---|---|---|
DTAI-KULeuven/robbertje-1-gb-merged | [
"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 | {
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],
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"no_repeat_ngra... | 1 | 2023-02-24T17:25:19Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-cart
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_r... | [
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alexandrainst/da-emotion-classification-base | [
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"da",
"transformers",
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] | text-classification | {
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"no_rep... | 837 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-medium-111
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. -->
# whisper-medium-1... | [
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alexandrainst/da-sentiment-base | [
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"bert",
"text-classification",
"da",
"arxiv:1910.09700",
"transformers",
"license:cc-by-sa-4.0"
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"no_rep... | 1,432 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | [
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"bert",
"question-answering",
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"no_repeat_n... | 7 | 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... | [
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Daivakai/DialoGPT-small-saitama | [
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"no_repeat_ngram_size... | 9 | null | ---
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: small-6-1
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
- name: Rouge1
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Daltcamalea01/Camaleaodalt | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: small-6-2
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
- name: Rouge1
... | [
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0.0... |
DanBot/TCRsynth | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: small-6-4
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
- name: Rouge1
... | [
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0... |
DanL/scientific-challenges-and-directions | [
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"en",
"dataset:DanL/scientific-challenges-and-directions-dataset",
"arxiv:2108.13751",
"transformers",
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] | text-classification | {
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"no_rep... | 134 | null | ---
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: small-6-5
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
- name: Rouge1
... | [
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Danbi/distilgpt2-finetuned-wikitext2 | [] | null | {
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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Danih1502/t5-small-finetuned-en-to-de | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
language:
- en
library_name: sentence-transformers
pipeline_tag: sentence-similarity
widget:
- text: How are you
---
# Dataset Collection:
* The English-French Translation Dataset is collected from Kaggle.[Dataset](https://www.kaggle.com/datasets/dhruvildave/en-fr-translation-dataset).
About D... | [
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Darein/Def | [] | null | {
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tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: small-4-6
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
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DarkestSky/distilbert-base-uncased-finetuned-ner | [] | null | {
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tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: large-2-2
results:
- task:
name: Summarization
type: summarization
dataset:
name: xsum
type: xsum
config: default
split: validation
args: default
metrics:
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DarshanDeshpande/marathi-distilbert | [
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"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
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"no_repea... | 14 | 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... | [
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DataikuNLP/average_word_embeddings_glove.6B.300d | [
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"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
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"num_beams... | 0 | null | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# AutoDisProxyT-SST2 for Distilling Massive Neural Networks
AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that... | [
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DataikuNLP/distiluse-base-multilingual-cased-v1 | [
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"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
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"no_repeat_ngra... | 29 | null | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# AutoDisProxyT-RTE for Distilling Massive Neural Networks
AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that ... | [
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DataikuNLP/paraphrase-MiniLM-L6-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
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"no_repeat_ngram_size": nul... | 25 | null | ---
tags:
- stable-diffusion
- text-to-image
- safetensors
language:
- en
---
<center><h1><b>HoloKuki</b></h1></center>
<center><img src="https://huggingface.co/Aotsuyu/Kukicha/resolve/main/images/nakiricool.png"width="55%"/></center>
### What to grab
I advise grabbing [this file](https://huggingface.co/Aotsuyu/Kukich... | [
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language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# AutoDisProxyT-STSB for Distilling Massive Neural Networks
AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that... | [
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DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
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"BertModel"
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"no_repeat_ngram_size": nul... | 1,517 | null | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# AutoDisProxyT-QNLI for Distilling Massive Neural Networks
AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that... | [
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DavidAMcIntosh/DialoGPT-small-rick | [] | null | {
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language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# AutoDisProxyT-COLA for Distilling Massive Neural Networks
AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that... | [
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Davlan/bert-base-multilingual-cased-finetuned-amharic | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
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"no_repeat_ngram_size... | 109 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_UkrSynth_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | [
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Davlan/m2m100_418M-eng-yor-mt | [
"pytorch",
"m2m_100",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no... | 9 | 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
... | [
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Davlan/mt5-small-pcm-en | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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---
license: creativeml-openrail-m
base_model: CompVis/stable-diffusion-v1-4
instance_prompt: a photo of sks dog
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - hawkwang/alvan_model
These are LoRA adaption weights for CompVis/stable... | [
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Davlan/mt5_base_yor_eng_mt | [
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"text2text-generation",
"arxiv:2103.08647",
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"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 8 | 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... | [
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Davlan/xlm-roberta-base-finetuned-amharic | [
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"no_repe... | 401 | null | Access to model gpradasa7/spanish_sentiment_analysis_pos_neg is restricted and you are not in the authorized list. Visit https://huggingface.co/gpradasa7/spanish_sentiment_analysis_pos_neg to ask for access. | [
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Dayout/test | [] | null | {
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license: mit
---
[CLIP ViT-B/32 xlm roberta base - LAION-5B](https://huggingface.co/laion/CLIP-ViT-B-32-xlm-roberta-base-laion5B-s13B-b90k) model converted to HuggingFace Transformers via https://gist.github.com/calpt/8e3555bd11f1916b5169c8125117e5ee.
| [
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0.0... |
DeadBeast/korscm-mBERT | [
"pytorch",
"bert",
"text-classification",
"korean",
"dataset:Korean-Sarcasm",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 43 | null | ---
tags:
- question-answering
- bert
- adapterhub:qa/squad1
- adapter-transformers
datasets:
- squad
language:
- en
---
# Adapter `AdapterHub/bert-base-uncased-pf-squad` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [qa/squad1](https://adapterhub.... | [
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Declan/Breitbart_modelv7 | [] | null | {
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license: mit
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
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. -->
# codeparrot-ds
This model is... | [
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Declan/FoxNews_model_v6 | [
"pytorch",
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"transformers",
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"no_repeat_ngram_size... | 3 | 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
... | [
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Declan/NPR_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | null | Access to model Jemnite/HanktheHillmanMix is restricted and you are not in the authorized list. Visit https://huggingface.co/Jemnite/HanktheHillmanMix to ask for access. | [
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DeskDown/MarianMixFT_en-my | [
"pytorch",
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"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
language:
- en
- ja
tags:
- art
---
## Download
<div align="center">
[![](https://img.shields.io/static/v1?label=%E2%9D%84+FP32&message=SafeTensors+%E2%9D%84&labelColor=444&color=8FF&style=for-... | [
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DimaOrekhov/cubert-method-name | [
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"no_re... | 10 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine-tuned-IndoNLI-Basic-with-xlm-roberta-base
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8 | [
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"bert",
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"transformers"
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"no_rep... | 30 | null | ---
license: apache-2.0
---
Test Model for [pmtrendviz](https://github.com/psaegert/pmtrendviz) | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100 | [
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"bert",
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"transformers"
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"no_rep... | 28 | null | ---
license: creativeml-openrail-m
tags:
- coreml
- stable-diffusion
- text-to-image
---
# Core ML Converted Model
This model was converted to Core ML for use on Apple Silicon devices by following Apple's instructions [here](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).<br>
Provide the ... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
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"no_rep... | 28 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
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"bert",
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"transformers"
] | text-classification | {
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
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0.... |
albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
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},
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"min_length": null,
"no_repeat_ngram_... | 38,156 | 2023-02-25T10:43:15Z | #@title Select your model below, then click the play button to start the UI.
#@markdown Afterwards, just sit tight and wait - the link to the UI should show up after it's done starting up.
Model = "Pygmalion 6B" #@param ["Pygmalion 350M", "Pygmalion 1.3B", "Pygmalion 2.7B", "Pygmalion 6B", "Pygmalion 6B Experimental"]... | [
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albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 4,785,283 | 2023-02-25T10:44:34Z | ---
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
... | [
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albert-large-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 687 | 2023-02-25T10:44:46Z | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_underwaterworlds/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# PoW : UNDERWATER WORLDS
![Showcase](https://huggingface.co/Guizmus/SDArt_underwaterworlds/resolve/main/showcase.... | [
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albert-xlarge-v1 | [
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"en",
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"dataset:wikipedia",
"arxiv:1909.11942",
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"no_repeat_ngram_... | 341 | 2023-02-25T10:49:39Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole8
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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0.... |
albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 2,973 | 2023-02-25T10:49:46Z |
---
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... | [
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0.024... |
albert-xxlarge-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
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],
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},
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"min_length": null,
"no_repeat_ngram_... | 42,640 | 2023-02-25T11:01:06Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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0.0... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 11,644 | 2023-02-25T11:03:53Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-base-finetuned-question-v-statement
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | [
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0... |
bert-base-chinese | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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},
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"min_length": null,
"no_repeat_ngram_size... | 3,377,486 | 2023-02-25T11:05:20Z | ---
tags:
- generated_from_trainer
datasets:
- scientific_lay_summarisation
model-index:
- name: pegasus-scientific_lay_v2.0
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... | [
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... |
bert-base-german-dbmdz-uncased | [
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 68,305 | 2023-02-25T11:17:52Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M12_SID_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# M12_SID_1
This model is ... | [
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bert-base-multilingual-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
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"multilingual",
"af",
"sq",
"ar",
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"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 328,585 | 2023-02-25T11:21:49Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M07_SID_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# M07_SID_1
This model is ... | [
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0.04... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
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"task_specific_params": {
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},
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"no_repeat_n... | 480,510 | 2023-02-25T11:25:47Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: F03_SID_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# F03_SID_1
This model is ... | [
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bert-large-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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},
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"no_repeat_ngram_size... | 1,058,496 | 2023-02-25T11:27:45Z |
---
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... | [
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0.018505606800317764,
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0.02132211998105049,
... |
camembert-base | [
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_... | 1,440,898 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M09_SID_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# M09_SID_1
This model is ... | [
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0.0230854544788599,
0.040... |
distilbert-base-cased-distilled-squad | [
"pytorch",
"tf",
"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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... | 257,745 | 2023-02-25T11:31:06Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.009827242232859135,
0.02... |
distilbert-base-cased | [
"pytorch",
"tf",
"onnx",
"distilbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"has_space"
] | null | {
"architectures": null,
"model_type": "distilbert",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"n... | 574,859 | 2023-02-25T11:32:40Z | ---
tags:
- conversational
---
# Sou AI DialoGPT Model | [
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0.0375... |
distilbert-base-german-cased | [
"pytorch",
"safetensors",
"distilbert",
"fill-mask",
"de",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
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"no_repea... | 43,667 | null | Access to model Kangarroar/Test is restricted and you are not in the authorized list. Visit https://huggingface.co/Kangarroar/Test to ask for access. | [
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distilbert-base-uncased-finetuned-sst-2-english | [
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"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
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"dataset:glue",
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... | 3,060,704 | 2023-02-25T11:49:32Z | ---
license: openrail
language:
- en
pipeline_tag: text-to-image
tags:
- art
---
A blend of models aiming for photorealism in outputs of people. For the best results use the config file (GravyMix3Final.yaml). Tested with the Automatic1111 webUI. Not a nsfw model, outputs should generally be sfw unless specifically prom... | [
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distilbert-base-uncased | [
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"no_repea... | 10,887,471 | null | ---
tags:
- bert
- adapter-transformers
- adapterhub:nli/multinli
datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_fiction_slate` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) data... | [
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t5-base | [
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"en",
"fr",
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"... | translation | {
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"no_repeat_ngram_s... | 6,339,864 | 2023-02-25T12:10:13Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M04_SID_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# M04_SID_1
This model is ... | [
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Aakansha/hateSpeechClassification | [] | null | {
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"num_beams... | 0 | 2023-02-25T17:35:21Z | ---
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... | [
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Abhilash/BERTBasePyTorch | [] | null | {
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"num_beams... | 0 | 2023-02-25T18:46:51Z | ---
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:... | [
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AdapterHub/bert-base-uncased-pf-wic | [
"bert",
"en",
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"adapter-transformers",
"text-classification",
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---
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... | [
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AdapterHub/roberta-base-pf-quartz | [
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"num_... | 1 | null | monot5-3b-inpars-v2-fiqa-promptagator is a monoT5-3B model finetuned on FiQA synthetic data generated by [InPars](https://github.com/zetaalphavector/inPars).
Currently, if you use this tool you can cite the original [InPars paper published at SIGIR](https://dl.acm.org/doi/10.1145/3477495.3531863) or [InPars-v2](https:... | [
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Adarsh123/distilbert-base-uncased-finetuned-ner | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-300m-finetuned-wolof
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. ... | [
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Advertisement/FischlUWU | [] | null | {
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"num_beams... | 0 | 2023-02-26T01:45:21Z | ---
language:
- tr
pipeline_tag: token-classification
tags:
- ner
widget:
- text: "Lütfen yardım Piyalepasa mahallesi Rüzgar sokak Meltem apartmanı no: 22 Hatay akrabalarım göçük altında #dummy"
---
## Address NER
- **Language**: Turkish
- **PLM**: dbmdz/bert-base-turkish-128k-cased
- **Macro-F1 Score**: 84%
- **Datas... | [
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Amrrs/wav2vec2-large-xlsr-53-tamil | [
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"ta",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index",
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"no_repeat_ngram_s... | 31 | null | ---
license: apache-2.0
---
Medium TF-IDF-based model for [pmtrendviz](https://github.com/psaegert/pmtrendviz)
### Training
- Training Samples: 3,000,000
- `n_components`: 250
- `n_clusters`: 250 | [
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Ana1315/ana | [] | null | {
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license: openrail
pipeline_tag: text-to-image
tags:
- art
- cartoon
- cat
---
TODO | [
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AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 2 | null | ---
tags:
- bert
- adapter-transformers
- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_apparel_books` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/amaz... | [
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AnonymousSub/SR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 4 | null | ---
tags:
- bert
- adapter-transformers
- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_books_baby` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/amazon/... | [
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AnonymousSub/SR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_10 | [
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"no_repeat_ngram_size... | 8 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
- bert
datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_slate_fiction` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) data... | [
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AnonymousSub/SR_rule_based_twostagequadruplet_hier_epochs_1_shard_1 | [
"pytorch",
"bert",
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"no_repeat_ngram_size": nul... | 2 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
- bert
datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_government_fiction` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/)... | [
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AnonymousSub/SR_specter | [
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"no_repeat_ngram_size": nul... | 5 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
- bert
datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_government_slate` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) d... | [
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AnonymousSub/SciFive_pubmedqa_question_generation | [
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"no_repeat_ngram_s... | 7 | null | ---
tags:
- bert
- adapter-transformers
- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_camera_photo_MR` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/am... | [
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AnonymousSub/T5_pubmedqa_question_generation | [
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"no_repeat_ngram_s... | 6 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_government_telephone` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli... | [
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AnonymousSub/bert-base-uncased_wikiqa | [
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"no_rep... | 30 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_government_travel` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) ... | [
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1 | [
"pytorch",
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tags:
- bert
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- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_MR_baby` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/amazon/) d... | [
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10 | [
"pytorch",
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tags:
- adapter-transformers
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_telephone_fiction` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) ... | [
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AnonymousSub/bert_mean_diff_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 6 | null | ---
tags:
- bert
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- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_MR_books` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/amazon/) ... | [
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AnonymousSub/bert_mean_diff_epochs_1_shard_10 | [
"pytorch",
"bert",
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"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size": nul... | 4 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_telephone_slate` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) da... | [
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AnonymousSub/bert_snips | [
"pytorch",
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tags:
- bert
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- adapterhub:sentiment/amazon
datasets:
- amazon
---
# Adapter `domadapter/joint_dt_MR_camera_photo` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/am... | [
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AnonymousSub/bert_triplet_epochs_1_shard_1 | [
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tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_telephone_government` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli... | [
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AnonymousSub/bert_triplet_epochs_1_shard_10 | [
"pytorch",
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tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_telephone_travel` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) d... | [
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AnonymousSub/cline-emanuals-s10-AR | [
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] | text-classification | {
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"... | 27 | null | ---
tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_travel_fiction` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) dat... | [
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AnonymousSub/cline-emanuals-s10-SR | [] | null | {
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tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_travel_slate` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) datas... | [
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AnonymousSub/cline-emanuals-techqa | [
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tags:
- adapter-transformers
- adapterhub:nli/multinli
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datasets:
- multi_nli
---
# Adapter `domadapter/joint_dt_travel_government` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [nli/multinli](https://adapterhub.ml/explore/nli/multinli/) ... | [
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AnonymousSub/cline-papers-biomed-0.618 | [
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language:
- en
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widg... | [
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AnonymousSub/cline-s10-SR | [] | null | {
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"num_beams... | 0 | 2023-02-26T15:57:40Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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AnonymousSub/cline-techqa | [
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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AnonymousSub/cline_emanuals | [
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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: LucaReggiani/t5-small-nlpfinalproject12_2-xsum
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 com... | [
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AnonymousSub/consert-s10-AR | [
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tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
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"... | 29 | 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
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"no_repeat_ngra... | 4 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
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---
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... | [
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"... | 26 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: gpt-neox-20b-imdb-lr5e-4
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. ... | [
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"... | 36 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1-Test
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- ... | [
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"no_re... | 5 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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AnonymousSub/dummy_2_parent | [
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### tits Dreambooth model trained by gsgfhsfxc with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-... | [
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AnonymousSub/roberta-base_squad2.0 | [
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"no_re... | 6 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10 | [
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tags:
- generated_from_trainer
model-index:
- name: plbart-base_finetuned_ut_generator_70000_method2test
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. -->
# pl... | [
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AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 3 | 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
... | [
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AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_10 | [
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"no_repeat_ngram_size": nul... | 4 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### lgbekna Dreambooth model trained by justArmenian with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own usin... | [
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1 | [
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language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- NathanRoll/SBC_randword_segmented
model-index:
- name: PSST Scrambled
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | [
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_10 | [
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"no_repeat_ngram_size": nul... | 8 | 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... | [
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_squad2.0 | [
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"no_repeat_n... | 3 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.54 +/- 2.73
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