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 |
|---|---|---|---|---|---|---|---|
Denilson/gbert-base-germaner | [] | 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-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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Deniskin/emailer_medium_300 | [
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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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Deniskin/essays_small_2000i | [] | null | {
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tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinfoce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
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Deniskin/gpt3_medium | [
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"no_repeat_ngram_size... | 52 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: pythia-70M
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. -->
# pythia-... | [
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Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
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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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DeskDown/MarianMixFT_en-fil | [
"pytorch",
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"text2text-generation",
"transformers",
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"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for my first Diffusion Model which is for unconditional image generation of beautiful butterflies.
This model is trained on a dataset of butterflies of image size 32*32
## Usage
```python
from di... | [
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"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: pythia-160M
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. -->
# pythia... | [
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ksathur/bert-finetuned-squad
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. -->
# ksath... | [
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"no_repeat_ngram_size... | 7 | 2023-02-22T10:54:28Z | ---
license: openrail
tags:
- stable-diffusion
- lora
---
## Duelyst Codex Landscape LORA
(Model Card will be updated later with proper example images and prompt settings, WIP)
<img src="https://huggingface.co/cadaeic/duelyst-codex-lora/resolve/main/im_20230222110424_000_988913356.png"/>
**Prompt:** painting of a f... | [
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### first_avartar Dreambooth model trained by zhoubinjason with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your ow... | [
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license: openrail
---
```
Model : Microworld v3~4
Base : Seek.art (Mega v1.0), OpenJourney v1.5
Type : Dreambooth SD Training
Epochs : 5000
Encoder : 350
Images : 50~
Captions: Yes
Trigger : microworld
Credits : Barret, Coreco, PublicPrompts, PromptHero
```
![](https... | [
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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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license: other
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: opt-125m
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. -->
# opt-125m
This... | [
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"no_repeat_ngram_size... | 5 | null | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-subjqa-movies_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, then remove this comment. -->
# ro... | [
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Despin89/test | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-Slippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4
type: FrozenLake-v1-4x4
metrics:
... | [
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Devid/DialoGPT-small-Miku | [
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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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Devrim/prism-default | [
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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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DevsIA/imagenes | [] | null | {
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"num_beams... | 0 | 2023-02-22T11:13:43Z | ---
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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-0.0022708915639668703,
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0... |
DewiBrynJones/wav2vec2-large-xlsr-welsh | [
"cy",
"dataset:common_voice",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": null,
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"num_beams... | 0 | null | ---
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
should probably proofread and complete it, then remove ... | [
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Dhruva/Interstellar | [] | null | {
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"num_beams... | 0 | null | ---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
- scikit-learn-intelex
model_format: pickle
model_file: model-optimized.pkl
widget:
structuredData:
x0:
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x1:
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Digakive/Hsgshs | [] | null | {
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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: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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Dilmk2/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 13 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: validatio... | [
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DimaOrekhov/transformer-method-name | [
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"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: final_model_category
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | [
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Dizoid/Lll | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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Doohae/q_encoder | [
"pytorch"
] | null | {
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"num_beams... | 3 | null | ---
tags:
- generated_from_trainer
datasets:
- city_learn
model-index:
- name: output
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output
This model is a f... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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},
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"no_rep... | 33 | null | ---
license: wtfpl
---
Lora Backup. In case that civitai get 502/503 or even worse one day.
---
Lora备份.以防哪天civitai什么的炸了。
====
角色
====
Abigail Swimsuit 阿比盖尔（水着）
Ishtar 伊什塔尔
Colossus Omega Chan 高达酱
Angela Balzac 安洁拉·巴尔扎克
Ayachi Nene 绫地宁宁
Minato Aqua Nurse 凑阿库娅（护士）
Tyrca Corrupted 狄璐卡（恶堕）
Yui 优衣（礼服）
Haneoka Meimi... | [
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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"
],
"model_type": "albert",
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},
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"min_length": null,
"no_repeat_ngram_... | 38,156 | 2023-02-22T13:05:54Z | ---
license: gpl-3.0
language:
- en
pipeline_tag: text2text-generation
tags:
- code
- asr
- inverse text normalization
datasets:
- pavanBuduguppa/asr_inverse_text_normalization
---
---
---
# asr_inverse_text_normalization
Finetuned a facebook/bart-base Pretrained model on the ASR inverse text normalization dataset ... | [
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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 | 2023-02-22T13:08:19Z |
---
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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albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 26,792 | 2023-02-22T13:15:40Z | ---
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-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 | {
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"no_repeat_ngram_... | 42,640 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-finetuned-iemocap8
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 r... | [
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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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"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 3,377,486 | 2023-02-22T13:26:16Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: polgrad-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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... |
bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 1,814 | 2023-02-22T13:28:35Z |
---
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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... |
bert-base-german-dbmdz-uncased | [
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"no_repeat_ngram_size... | 68,305 | 2023-02-22T13:29:22Z | ---
license: mit
---
Model Description
[Mixture of Diffusers](https://arxiv.org/abs/2302.02412) | [
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bert-base-multilingual-uncased | [
"pytorch",
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"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
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"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"no_repeat_ngram_size... | 328,585 | 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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0... |
distilbert-base-uncased-finetuned-sst-2-english | [
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
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... | 3,060,704 | 2023-02-22T13:59:21Z | ---
library_name: stable-baselines3
tags:
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results:
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license: apache-2.0
tags:
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datasets:
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metrics:
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type: image-classification
dataset:
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library_name: sample-factory
tags:
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results:
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tags:
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AdapterHub/bert-base-uncased-pf-emo | [
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library_name: sample-factory
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AdapterHub/bert-base-uncased-pf-scitail | [
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tags:
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language:
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widget:
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datasets:
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co2_eq_emissions:
emissions: 1.6240218297608988
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 3669997969
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tags:
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library_name: cleanrl
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tags:
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library_name: cleanrl
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AdapterHub/roberta-base-pf-quail | [
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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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AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_10 | [
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tags:
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library_name: cleanrl
model-index:
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tags:
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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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tags:
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Akash7897/distilbert-base-uncased-finetuned-cola | [
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... | 31 | null | ---
tags:
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library_name: cleanrl
model-index:
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results:
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tags:
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Akashpb13/Central_kurdish_xlsr | [
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tags:
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AkshatSurolia/BEiT-FaceMask-Finetuned | [
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"beit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
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],
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"no_repeat... | 239 | null | ---
tags:
- Zaxxon-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Zaxxon-v5
type: Zaxxon-v5
metrics:
- type:... | [
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AkshaySg/GrammarCorrection | [] | null | {
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tags:
- Tennis-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tennis-v5
type: Tennis-v5
metrics:
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AlanDev/dall-e-better | [] | null | {
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tags:
- Asterix-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Asterix-v5
type: Asterix-v5
metrics:
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Aleksandar/bert-srb-ner | [
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"bert",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 4 | null | ---
tags:
- Asteroids-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Asteroids-v5
type: Asteroids-v5
metrics:
... | [
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Aleksandar/electra-srb-oscar | [
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"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
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tags:
- Alien-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Alien-v5
type: Alien-v5
metrics:
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Aleksandar1932/distilgpt2-rock | [
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] | text-generation | {
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- Alien-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Alien-v5
type: Alien-v5
metrics:
- type: me... | [
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AlekseyKulnevich/Pegasus-HeaderGeneration | [
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"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"n... | 8 | null | ---
tags:
- UpNDown-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: UpNDown-v5
type: UpNDown-v5
metrics:
- ty... | [
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AlekseyKulnevich/Pegasus-QuestionGeneration | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"n... | 17 | null | ---
tags:
- BattleZone-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BattleZone-v5
type: BattleZone-v5
metrics:... | [
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AlekseyKulnevich/Pegasus-Summarization | [
"pytorch",
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"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"n... | 7 | null | ---
tags:
- UpNDown-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: UpNDown-v5
type: UpNDown-v5
metrics:
- ty... | [
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Alessandro/model_name | [] | null | {
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"num_beams... | 0 | 2023-02-22T23:30:50Z | ---
tags:
- BattleZone-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BattleZone-v5
type: BattleZone-v5
metrics:... | [
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AlexN/xls-r-300m-pt | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"robust-speech-event",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
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] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 15 | null | ---
tags:
- Bowling-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Bowling-v5
type: Bowling-v5
metrics:
- ty... | [
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AlexaMerens/Owl | [
"license:cc"
] | null | {
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"num_beams... | 0 | 2023-02-22T23:33:30Z | ---
tags:
- Berzerk-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
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AlexaRyck/KEITH | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Berzerk-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Berzerk-v5
type: Berzerk-v5
metrics:
- ty... | [
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AliPotter24/a | [] | null | {
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tags:
- Atlantis-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Atlantis-v5
type: Atlantis-v5
metrics:
-... | [
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Andres2015/HiggingFaceTest | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
datasets:
- race
language:
- en
library_name: transformers
pipeline_tag: text2text-generation
inference: false
---
# t5-large fine-tuned to RACE for Generating Distractors
- Input: `question <sep> answer <sep> context`
- Output: list of 3 distractors
## Model Details
t5-large model is fine-tun... | [
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Andrija/SRoBERTa-XL-NER | [
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"token-classification",
"hr",
"sr",
"multilingual",
"dataset:hr500k",
"transformers",
"license:apache-2.0",
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] | token-classification | {
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"no_... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: electra-base-emotion-Tweet_About_Disaster_Or_Not
results: []
language:
- en
---
# electra-base-emotion-Tweet_About_Disaster_Or_Not
This model is a fine-tuned version of [bhadresh-savani/electra-... | [
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Andrija/SRoBERTa-XL | [
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"hr",
"sr",
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"dataset:srwac",
"dataset:leipzig",
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"dataset:hrwac",
"transformers",
"masked-lm",
"license:apache-2.0",
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] | fill-mask | {
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],
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"no_repeat_ngra... | 54 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# tags-allnli-GroNLP-bert-base-dutch-cased
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can b... | [
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Anirbanbhk/Hate-speech-Pretrained-movies | [
"tf",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 20 | 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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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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license: apache-2.0
---
# Introduction
Libraries in this repository are intended for use in
https://github.com/k2-fsa/sherpa-onnx
They are downloaded from
https://mvnrepository.com/artifact/com.microsoft.onnxruntime/onnxruntime-android/1.14.0
```
wget https://repo1.maven.org/maven2/com/microsoft/onnxruntime/onn... | [
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"no_repeat_ngram_size... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: SD-sentiment-model-BERT-v1
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. -->
# SD-sent... | [
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: kobert-finetuned-review
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. -->
# kobert... | [
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"no_repeat_ngram_size... | 1 | null | ---
license: mit
tags:
- NLP
datasets:
- Yaxin/SemEval2014Task4Raw
metrics:
- f1
- precision
- recall
pipeline_tag: text2text-generation
---
# ate_tk-instruct-base-def-pos-neg-neut-restaurants
This model is finetuned for the Aspect Term Extraction (ATE) subtask. The finetuning was carried out by adding prompts of the ... | [
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"no_repeat_ngram_s... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- 10th_science_tamil_to_english
model-index:
- name: 10th_science_ta_to_eng
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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AnonymousSub/bert_mean_diff_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 6 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-ag-news-finetuned-dwnews-categories
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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"... | 27 | null | ---
pipeline_tag: image-classification
library_name: fastai
--- | [
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"no_re... | 4 | null | ---
library_name: rl-algo-impls
tags:
- procgen-starpilot-easy
- ppo
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo
results:
- metrics:
- type: mean_reward
value: 33.2 +/- 22.75
name: mean_reward
task:
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name: reinforcement-... | [
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AnonymousSub/cline_emanuals | [
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"no_repeat_n... | 3 | null | ---
library_name: rl-algo-impls
tags:
- procgen-bigfish-easy
- ppo
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo
results:
- metrics:
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value: 23.64 +/- 16.3
name: mean_reward
task:
type: reinforcement-learning
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"no_re... | 8 | null | ---
library_name: rl-algo-impls
tags:
- procgen-bossfight-easy
- ppo
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo
results:
- metrics:
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value: 9.91 +/- 5.37
name: mean_reward
task:
type: reinforcement-learning
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"no_rep... | 29 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- go_emotions
metrics:
- f1
model-index:
- name: roberta-large-go-emotions-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
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tags:
- conversational
---
# Penny DialoGPT Model | [
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tags:
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---
# Penny DialoGPT Model | [
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license: apache-2.0
tags:
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metrics:
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model-index:
- name: police-lethal-force-classifier
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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"no_re... | 2 | null | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- zaib32/autotrain-data-bart_jobs_description
co2_eq_emissions:
emissions: 5.188589459184297
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 3667398231
- CO2 Emissions (in grams): 5.18... | [
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"... | 26 | 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/declutr-s10-SR | [
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"... | 36 | 2023-02-23T08:17:57Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.022961359471082687,
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0.010413921438157558,
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0.06229865178465843,
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0.010998181067407131,
0... |
AnonymousSub/dummy_2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 39 | 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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0.00659931730479002,
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AnonymousSub/hier_triplet_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size": nul... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: sentiment_test23feb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
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AnonymousSub/hier_triplet_epochs_1_shard_10 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
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"no_repeat_ngram_size": nul... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- NLP-MINI-PROJECT/rabbi_kook
metrics:
- rouge
model-index:
- name: kook-model-output-dir
results:
- task:
name: Summarization
type: summarization
dataset:
name: NLP-MINI-PROJECT/rabbi_kook
type: NLP-MINI-PROJECT/rabbi_kook... | [
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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"no_rep... | 33 | 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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0.0164... |
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_wikiqa | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 30 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/arvidkahl-marckohlbrugge-yadavajay/1677143666796/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px;... | [
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0.02548... |
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 6 | 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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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"RobertaModel"
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"no_repeat_ngram_size... | 4 | 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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AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_squad2.0 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
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"no_re... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: bert-finetuned-ner-per-v8
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. -->
# bert-fin... | [
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
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},
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- autotrain
- translation
language:
- unk
- unk
datasets:
- Tritkoman/autotrain-data-oldenglish2
co2_eq_emissions:
emissions: 5.451467518019884
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 3680498282
- CO2 Emissions (in grams): 5.4515
## Validation Metrics
- Loss: 3.265
- ... | [
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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],
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"no_repeat_ngram_size... | 2 | 2023-02-23T10:08:53Z | ---
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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AntonClaesson/finetuning_test | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: loso_m07_main_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. -->
# loso_m07_main_1
Th... | [
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Antony/mint_model | [] | null | {
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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: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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0.0... |
Appolo/TestModel | [] | null | {
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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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