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 |
|---|---|---|---|---|---|---|---|
distilbert-base-multilingual-cased | [
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"tf",
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"hr",
"cs",
"da",
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... | fill-mask | {
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],
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"no_repea... | 8,339,633 | 2023-03-08T05:53:12Z | ---
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: 7.48 +/- 2.74
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distilbert-base-uncased-finetuned-sst-2-english | [
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... | 3,060,704 | 2023-03-08T05:58:45Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-text_summarization_data
results: []
language:
- en
pipeline_tag: summarization
---
# led-base-16384-text_summarization_data
This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.c... | [
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gpt2-xl | [
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"gpt2",
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"en",
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"transformers",
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"no_repeat_ngram_size... | 308,781 | 2023-03-08T06:23:43Z |
---
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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ARTeLab/mbart-summarization-mlsum | [
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"text2text-generation",
"it",
"dataset:ARTeLab/mlsum-it",
"transformers",
"summarization",
"autotrain_compatible",
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] | summarization | {
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"no_re... | 111 | 2023-03-08T11:52:46Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1-Dani
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- ... | [
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ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000 | [
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"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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... | 39 | 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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Pinwheel/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 4 | 2023-03-08T12:44:13Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jaiiiiii/my_awesome_eli5_clm-model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
#... | [
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AdapterHub/roberta-base-pf-ud_pos | [
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"en",
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"arxiv:2104.08247",
"adapter-transformers",
"token-classification",
"adapterhub:pos/ud_ewt"
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"num_... | 8 | null | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: finetune_teacher_clean_mozilla_100_epochs_try2
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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AdapterHub/roberta-base-pf-wic | [
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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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AdapterHub/roberta-base-pf-wnut_17 | [
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"arxiv:2104.08247",
"adapter-transformers",
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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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Adarsh123/distilbert-base-uncased-finetuned-ner | [] | null | {
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"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
... | [
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Adharsh2608/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-4.0
---
**pythia-1.4B-finetuned-oa-instructions**
This model is a fine-tuned version of pythia on the oa dataset. It achieves the following results on the evaluation set:
Loss: 0.1224
**Model description**
More information needed
Intended uses & limitations
More information needed
**Trai... | [
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AdharshJolly/HarryPotterBot-Model | [
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"no_repeat_ngram_size... | 10 | null | ---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-large-uncased-whole-word-masking-squad2-finetuned-squad2-islamic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | [
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Adil617/wav2vec2-base-timit-demo-colab | [
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"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 4 | 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
... | [
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Adinda/Adinda | [
"license:artistic-2.0"
] | null | {
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"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... | [
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AdrianGzz/DialoGPT-small-harrypotter | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | # CentauriMix: First Model of Constellation Series
Anything-based 2D model designed for cute anime girls
<br> *WARNING* : Images for Alpha Centauri A & B are not updated yet, please keep that in mind.
<br>
<br>
## Recommended Settings
- Sampler: DPM++ 2M Karras (speed and detail balanced) or DPM++ SDE Karras (detailed)... | [
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Adrianaforididk/Jinx | [] | null | {
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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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Advertisement/FischlUWU | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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Aeskybunnie/Me | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AethiQs-Max/AethiQs_GemBERT_bertje_50k | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"no_repeat_ngram_size... | 11 | null | ---
license: openrail
---
Converted Canny SD 2.1-base model from https://huggingface.co/thibaud/controlnet-sd21/ to diffusers format.
Saved only ControlNet weights
Usage:
```
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, DEISMultistepScheduler
import cv2
from PIL import Image
import numpy... | [
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... |
AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_10 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Cart_Pole_V1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rew... | [
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0.... |
AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_30-epoch_30 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 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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0.01... |
Aftabhussain/Tomato_Leaf_Classifier | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"ViTForImageClassification"
],
"model_type": "vit",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 50 | 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... | [
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... |
Ahda/M | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- M3ri4-style
---
### M3rii4-Style Dreambooth model trained by Anonim3327 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
### The model is b... | [
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0.02... |
Ahmad/parsT5 | [
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
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},
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"min_length": null,
"no_repeat_n... | 12 | 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... | [
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... |
Ahmadvakili/A | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-multilingual-cased-finetuned-squad-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | [
-0.02639385685324669,
-0.019179312512278557,
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0.0291187334805727,
0.037... |
Ahmed59/Demo-Team-5-SIAD | [
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"... | 14 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-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. -->
# my_awesom... | [
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0.0... |
AhmedHassan19/model | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-finetuned-es-to-pua
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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0.005038287024945021,
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0.007628937717527151,
0.03... |
AhmedSSoliman/MarianCG-CoNaLa | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: validate_bert_large
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... | [
-0.010560858994722366,
0.007914146408438683,
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0.04811862111091614,
0.006040862295776606,
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0.02247459813952446,
... |
Ahmedahmed/Wewe | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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0.... |
Ahren09/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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... | 33 | null | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
language:
- ja
pipeline_tag: text-generation
tags:
- gpt
- japanese
- language model
- reversed gpt-2
inference: false
---
# japanese-reversed-gpt2-medium-unidic
This is a medium-sized Japanese **reversed** GPT-2 model using BERT-like tokenizer.
Unli... | [
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0.... |
Aibox/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 10 | 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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0.0316891223192215,
0.0... |
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm | [] | null | {
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"num_beams... | 0 | null | ---
language:
- fr
library_name: nemo
datasets:
- mozilla-foundation/common_voice_12_0
tags:
- automatic-speech-recognition
model-index:
- name: stt_fr_citrinet_512_gamma_0_25
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Mozilla Common V... | [
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AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ba",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index",
"has_space"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 64 | 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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0... |
AimB/mT5-en-kr-natural | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
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},
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"min_length": null,
"no_repeat... | 78 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: reinforce-cart-pole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type... | [
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AimB/mT5-en-kr-opus | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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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library_name: stable-baselines3
tags:
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- stable-baselines3
model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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library_name: stable-baselines3
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model-index:
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results:
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dataset:
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type: LunarLander-v2
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"num_beams... | 0 | null | Access to model mrm8488/bart-legal-base-es is restricted and you are not in the authorized list. Visit https://huggingface.co/mrm8488/bart-legal-base-es to ask for access. | [
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tags:
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- ppo
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- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
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name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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"no_repeat_ngram_size... | 6 | null | ---
tags:
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- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
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results:
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name: reinforcement-learning
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library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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type: AntBulletEnv-v0
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"no_repeat_ngram_size... | 6 | 2023-03-09T03:20:36Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt-expt-sp-v3-K-600-MA-kmeans-v1
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. -->
# gpt-expt... | [
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"no_repeat_ngram_size... | 6 | 2023-03-09T03:23:12Z | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- wofeishenling/autotrain-data-iemocap_text_4
co2_eq_emissions:
emissions: 0.438477125256298
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 39809103601
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---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of sks dog in a bucket
tags:
- stable-diffusion
- stable-diffusion-ppdiffusers
- text-to-image
- ppdiffusers
- lora
inference: false
---
# LoRA DreamBooth - davidhefan/lora_sks_dogs
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library_name: sample-factory
tags:
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model-index:
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results:
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name: reinforcement-learning
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language:
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license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
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results:
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license: apache-2.0
tags:
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metrics:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: cc
---
This model comes from the paper "Exploring Neural Models for Query-Focused Summarization".
This is the original release https://github.com/salesforce/query-focused-sum
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library_name: stable-baselines3
tags:
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results:
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tags:
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- reinforce
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model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
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license: creativeml-openrail-m
---
https://civitai.com/models/16956/alice-zuberg-or-sword-art-online-alicization | [
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license: creativeml-openrail-m
---
https://civitai.com/models/17188/fate-grand-order-okita-souji | [
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AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa | [
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"no_rep... | 31 | null | ---
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:
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AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_copy | [
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license: openrail
language:
- en
---
It generates tweets in the style of twitter users that consented to my Data Collection scheme (for the purpose of making a language model, of which I stated in the tweet)
I will update this model because I accidentally added <|startoftext|> and <|endoftext|> tokens to the datas... | [
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AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0 | [
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license: apache-2.0
tags:
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datasets:
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metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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"no_repeat_n... | 2 | 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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"no_rep... | 32 | null | ---
license: apache-2.0
tags:
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metrics:
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model-index:
- name: imdb-sentiment-analysis
results:
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type: text-classification
dataset:
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AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1 | [
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license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
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type: text-classification
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AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1 | [
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license: mit
tags:
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datasets:
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metrics:
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model-index:
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type: token-classification
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"... | 28 | null | ---
license: cc-by-nc-sa-4.0
tags:
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datasets:
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metrics:
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model-index:
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results:
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type: token-classification
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type: sroie
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"no_re... | 4 | null | ---
library_name: sample-factory
tags:
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- reinforcement-learning
- sample-factory
model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
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---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
library_name: ultralytics
library_version: 8.0.43
inference: false
model-index:
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results:
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type: object-detection
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AnonymousSub/unsup-consert-base | [
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"no_repeat_ngram_size": nul... | 6 | null | ---
license: apache-2.0
tags:
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metrics:
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model-index:
- name: dgx1_whisper_tiny_finetune_teacher_no_noise_mozilla_100_epochs_batch_32_resume_training
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | [
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license: creativeml-openrail-m
library_name: diffusers
tags:
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- stable-diffusion
- stable-diffusers
- art
- realism
---
Model files are in "Files and Versions" tab!
# NOTICE!!
# It is version 1.0 but version 2.0 doesn't always produce better results than version 1.0!
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license: bigscience-bloom-rail-1.0
datasets:
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language:
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metrics:
- accuracy
pipeline_tag: text-generation
text-generation:
parameters:
max_length: 400
do_sample: true
temperature: 0.75
top_k: 50
top_p: 0.9
tags:
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widget:
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tags:
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- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
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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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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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Arina/Erine | [] | null | {
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---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of sks dog in a bucket
tags:
- stable-diffusion
- stable-diffusion-ppdiffusers
- text-to-image
- ppdiffusers
- lora
inference: false
---
# LoRA DreamBooth - deerta/lora_sks_dogs
本仓库的 LoRA 权重是基于 runwayml/stable-d... | [
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ArjunKadya/HuggingFace | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-T5_base_test_miniwob-T5_base_test_miniwob-2
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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Arnold/wav2vec2-hausa2-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"Wav2Vec2ForCTC"
],
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"no_repeat_ngram_s... | 9 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of nature, face the sea, with spring blossoms
tags:
- stable-diffusion
- stable-diffusion-ppdiffusers
- text-to-image
- ppdiffusers
- lora
inference: false
---
# LoRA DreamBooth - Abner94/lora_nature
本仓库的 LoRA 权... | [
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ArpanZS/search_model | [
"joblib"
] | null | {
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"num_beams... | 0 | null | ---
license: afl-3.0
language:
- en
metrics:
- accuracy
library_name: transformers
---
# Model Description
The fake news detection model is a deep learning model designed to classify news as either "fake" or "real."
The intended use of the fake news detection model is to provide a tool for identifying fake news artic... | [
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ArvinZhuang/BiTAG-t5-large | [
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"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_s... | 4 | null | ---
license: mit
language:
- gl
metrics:
- bleu (Gold1): 82.6
- bleu (Gold2): 49.9
- bleu (Flores): 23.8
- bleu (Test-suite): 77.2
---
license: mit
---
**English text [here](https://huggingface.co/proxectonos/Nos_MT-OpenNMT-gl-es/blob/main/README_English.md)**
**Descrición do Modelo**
Modelo feito con OpenNMT para... | [
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Ateeb/FullEmotionDetector | [
"pytorch",
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] | text-classification | {
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],
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"no... | 31 | null | ---
license: cc-by-sa-4.0
language:
- en
pipeline_tag: text-generation
tags:
- code
---
# MagicPrompt_SD_V1
This is a Prompt Generator likes [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion)!
But I wash the origin prompts data, and trains a powerful model to ge... | [
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Augustvember/WokkaBot3 | [
"conversational"
] | conversational | {
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"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
... | [
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Augustvember/WokkaBot4 | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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Augustvember/WokkaBot5 | [] | null | {
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"num_beams... | 0 | 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
... | [
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-0... |
Augustvember/wokka4 | [
"conversational"
] | conversational | {
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"num_beams... | 0 | 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: peg-unplug-side-v2
type: peg-unplug-side-v2
metrics:
... | [
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0.03... |
Ayah/GPT2-DBpedia | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 6 | null | ---
license: mit
language:
- ru
pipeline_tag: text-generation
tags:
- gpt
- gpt2
- gpt3
- ai dungeon
- ai
- dungeon
- medium
- ru
- rus
- text
- generation
- text generation
---
Medium model from https://github.com/A1exRey/Clover-Edition-ru
Working good only with Russian language. | [
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Aybars/ModelOnWhole | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"BertForQuestionAnswering"
],
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"no_repeat_n... | 4 | 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:... | [
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Ayham/albert_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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"no_re... | 7 | null | ---
tags:
- generated_from_trainer
datasets:
- funsd
model-index:
- name: layoutlm-funsd
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. -->
# layoutlm-funsd
This m... | [
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Ayham/roberta_distilgpt2_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 4 | 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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Ayham/robertagpt2_xsum4 | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 8 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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Ayham/xlmroberta_large_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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},
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"no_re... | 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... | [
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Ayham/xlnet_gpt_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 11 | 2023-03-09T15:12:00Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: chatgpt-prompt-generator-v12
results: []
datasets:
- fka/awesome-chatgpt-prompts
---
# ChatGPT Prompt Generator v12
This model is a fine-tuned version of [BART-large](https://huggingface.co/facebook/bart-large) on a ChatGPT prompts ... | [
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... |
Ayoola/cdial-yoruba-test | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"has_space"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 25 | 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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Ayran/DialoGPT-small-gandalf | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 11 | 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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0.0... |
AyushPJ/ai-club-inductions-21-nlp-XLNet | [
"pytorch",
"xlnet",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLNetForQuestionAnsweringSimple"
],
"model_type": "xlnet",
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},
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"max_length": null,
"min_length": null,
"no_... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: weeds_hfclass18
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: t... | [
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AyushPJ/ai-club-inductions-21-nlp-distilBERT | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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],
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},
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... | 8 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aces-roberta-10
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... | [
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AyushPJ/test-squad-trained-finetuned-squad | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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"min_length": null,
... | 8 | 2023-03-09T15:44:35Z | ---
tags:
- espnet
- audio
- text-to-speech
language: jp
datasets:
- amadeus
license: cc-by-4.0
---
## 原项目链接如下：
[**mio/amadeus**](https://huggingface.co/mio/amadeus)
## ESPnet2 TTS model
### `mio/amadeus`
This model was trained by mio using [amadeus recipe](https://github.com/mio2333/espnet/tree/master/egs2/amadeus/... | [
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Azaghast/DistilBART-SCP-ParaSummarization | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"min_length": 56,
"no_repeat_ngr... | 8 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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Azaghast/DistilBERT-SCP-Class-Classification | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
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},
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... | 42 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aces-roberta-13
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... | [
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0.05... |
Azaghast/GPT2-SCP-ContainmentProcedures | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 5 | 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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0... |
Azaghast/GPT2-SCP-Descriptions | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | [
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0... |
Azizun/Geotrend-10-epochs | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"min_length": null,
"no_repeat... | 6 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery-1-always
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
typ... | [
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Azura/data | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
---
ComBERT is a pre-trained NLP model to analyse sentiment of commodity specific news.
It is built by further training the BERT language model in the commodity news domain, we use a large open source commodity news corpus and re-tune for commodity specific sentiment classification.
For more ... | [
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0.0... |
Azuris/DialoGPT-medium-envy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size... | 12 | 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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0.... |
BME-TMIT/foszt2oszt | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"hu",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_re... | 15 | 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... | [
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