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 |
|---|---|---|---|---|---|---|---|
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5 | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi | [
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"no_rep... | 71 | null | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- feralvam/autotrain-data-rustance-stance-xlmr
co2_eq_emissions:
emissions: 2.3986554105301314
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2440275732
- CO2 Emiss... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-half | [
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license: apache-2.0
tags:
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metrics:
- accuracy
model-index:
- name: distilbert-base-uncased_cls_subj
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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CAMeL-Lab/bert-base-arabic-camelbert-msa-ner | [
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"no_repeat... | 229 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-large_cls_subj
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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{}
---
# This is what we learned on HF RL Unit1 adjusted to use crypto market data
# Q-learning
Now using q-learnig with a custom enviroment
fin_rl_qlearning_v1.ipynb
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"no_rep... | 574 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
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library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- 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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tags:
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- custom-implementation
model-index:
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results:
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name: reinforcement-learning
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tags:
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CBreit00/DialoGPT_small_Rick | [] | null | {
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CLAck/en-km | [
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CLAck/vi-en | [
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"no_repeat_ngram_size... | 6 | 2022-12-12T18:20:01Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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CLS/WubiBERT_models | [] | null | {
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"num_beams... | 0 | 2022-12-12T18:20:50Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxiv3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
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type: Taxi-v3
metrics:
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value: 7.50 +/- 2.67
... | [
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"... | 33 | 2022-12-12T18:24:32Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery-2
results:
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type: reinforcement-learning
name: reinforcement-learning
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name: FrozenLake-v1-4x4-no_slippery
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"... | 33 | 2022-12-12T18:25:46Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: k123eith
---
### KEITH Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Noteb... | [
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"... | 30 | null | Access to model souravdeb/souravf222 is restricted and you are not in the authorized list. Visit https://huggingface.co/souravdeb/souravf222 to ask for access. | [
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"... | 32 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
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name: reinforcement-learning
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"... | 32 | 2022-12-12T18:38:20Z | ---
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
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value: 7.56 +/- 2.71... | [
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CM-CA/Cartman | [] | null | {
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"num_beams... | 0 | 2022-12-12T18:40:44Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_checkpoint
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. -->
# mod... | [
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"num_beams... | 0 | 2022-12-12T18:42:47Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: albert-large-v2_cls_subj
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... | [
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CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification | [
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"no_rep... | 28 | 2022-12-12T18:50:48Z | ---
language: en
thumbnail: http://www.huggingtweets.com/openai/1670871517954/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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CSResearcher/TestModel | [
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CSZay/bart | [] | null | {
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"num_beams... | 0 | 2022-12-12T18:52:36Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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CalvinHuang/mt5-small-finetuned-amazon-en-es | [
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"no_repeat... | 16 | 2022-12-12T18:52:56Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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Cameron/BERT-mdgender-convai-ternary | [
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"text-classification",
"transformers"
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"no_rep... | 38 | 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: 7.46 +/- 2.74... | [
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dccuchile/albert-base-spanish-finetuned-xnli | [
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"transformers"
] | text-classification | {
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"no... | 28 | 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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dccuchile/albert-large-spanish-finetuned-ner | [
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"no_re... | 3 | 2022-12-12T20:16:06Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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0.... |
dccuchile/albert-tiny-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"no_re... | 5 | 2022-12-12T20:30:00Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
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0.0... |
dccuchile/albert-base-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
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"AlbertForPreTraining"
],
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},
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"min_length": null,
"no_repeat_ngr... | 586 | null | ---
language:
- pa
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large-v2 Punjabi
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
na... | [
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... |
dccuchile/albert-xlarge-spanish | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
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"AlbertForPreTraining"
],
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},
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"min_length": null,
"no_repeat_ngr... | 91 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- art
model-index:
- name: t5-fine-tuned-large-hub
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... |
Chae/botman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 5 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/smithsonian_butterflies_subset
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this com... | [
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0.... |
Chaima/TunBerto | [] | null | {
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"num_beams... | 0 | null | ---
language:
- cy
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Welsh
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: m... | [
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chainyo/speaker-recognition-meetup | [] | null | {
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"num_beams... | 1 | 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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0.0... |
Chakita/Friends | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | 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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Chakita/KROBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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0.00... |
Chakita/KannadaBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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0.044... |
Chalponkey/DialoGPT-small-Barry | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 11 | 2022-12-12T23:22:27Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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0.0355... |
Cheatham/xlm-roberta-base-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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"XLMRobertaForSequenceClassification"
],
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... | 20 | null | ---
tags:
- conversational
---
# Scaramouche DialoGPT Model | [
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CheonggyeMountain-Sherpa/kogpt-trinity-punct-wrapper | [
"ko",
"gpt2",
"license:cc-by-nc-sa-4.0"
] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b3_pruned.in1k
A EfficientNet image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | [
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Chertilasus/main | [] | null | {
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"num_beams... | 0 | 2022-12-12T23:56:57Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b4.ra2_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired ... | [
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Chester/traffic-rec | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for efficientnet_b5.sw_in12k
A EfficientNet image classification model. Trained on ImageNet-12k by Ross Wightman in `timm` using recipe template described below.
Recipe details:
* Based on Swin Tr... | [
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Chiuchiyin/Donald | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_es_pruned.in1k
A EfficientNet-EdgeTPU image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
... | [
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ChoboAvenger/DialoGPT-small-DocBot | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_lite0.ra_in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Ins... | [
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Chun/DialoGPT-large-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_m.ft_in1k
A MixNet image classification model. Fine-tuned on ImageNet-1k from original Tensorflow "SAME" padding weights for use in PyTorch.
## Model Details
- **Model Type:** Image clas... | [
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0.0019470942206680775... |
Chun/DialoGPT-small-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_xl.ra_in1k
A MixNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by and evolved... | [
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0.01941034011542797,
-0.0037933015264570713,
-0.0153884403407573... |
Chun/w-en2zh-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
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},
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"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mnasnet_small.lamb_in1k
A MNasNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that is similar t... | [
-0.01156336348503828,
-0.019404921680688858,
-0.007659244351089001,
0.03601739555597305,
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0.06440676003694534,
0.028592148795723915,
-0.008532295003533363,
-0.011445158161222935,
... |
Chun/w-zh2en-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_100.ra_in1k
A MobileNet-v2 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by... | [
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0.06029442697763443,
0.0268813818693161,
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-0.005198326893150806,
... |
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
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},
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"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_120d.ra_in1k
A MobileNet-v2 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired b... | [
-0.0008531567873433232,
-0.018089430406689644,
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0.02443045563995838,
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0.00011703440395649523,
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0.05981594696640968,
0.026706373319029808,
-0.008933673612773418,
-0.005212842952460051,... |
Chungu424/qazwsx | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for semnasnet_075.rmsp_in1k
A MNasNet image classification model with Squeeze-and-Excitation channel attention. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details... | [
-0.00794476643204689,
-0.020980043336749077,
0.0063540143892169,
0.028859032317996025,
0.03751654922962189,
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0.002368698827922344,
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0.07533472776412964,
0.031064564362168312,
0.0015805982984602451,
-0.012182839214801788,
0.0... |
Chungu424/repodata | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for spnasnet_100.rmsp_in1k
A SPNasNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A simple RmsProp based recipe without Ran... | [
-0.020438985899090767,
-0.02028917334973812,
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0.03372020274400711,
0.032837554812431335,
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0.00511515699326992,
0.003383517963811755,
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0.06482842564582825,
0.02272440679371357,
0.007023196667432785,
-0.015026183798909187,
0.03... |
Cinnamon/electra-small-japanese-generator | [
"pytorch",
"electra",
"fill-mask",
"ja",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"ElectraForMaskedLM"
],
"model_type": "electra",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 19 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b1.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | [
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0.04541514441370964,
0.009130396880209446,
0.004055267199873924,
-0.005600504111498594,
0.0... |
CleveGreen/JobClassifier | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 31 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b4.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | [
-0.002244300674647093,
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0.0396551676094532,
0.006813992280513048,
0.0018448312766849995,
0.011158911511301994,
0... |
Cloudy/DialoGPT-CJ-large | [
"pytorch",
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 1 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b5.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | [
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0.05058467760682106,
0.013126738369464874,
0.016119811683893204,
0.002539559965953231,
... |
ClydeWasTaken/DialoGPT-small-joshua | [
"conversational"
] | conversational | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b6.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | [
-0.006036462262272835,
-0.03271320089697838,
-0.0005111336358822882,
0.03647264838218689,
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0.047954294830560684,
0.005841993261128664,
0.006122034043073654,
0.006594720762223005,
0... |
CoShin/XLM-roberta-large_ko_en_nil_sts | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b6.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | [
-0.01571827568113804,
-0.03238039091229439,
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0.04210115224123001,
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0.04411796107888222,
0.008753301575779915,
0.0027299022767692804,
-0.007335924543440342,
... |
CoachCarter/distilbert-base-uncased-finetuned-squad | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b6.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | [
-0.0029247174970805645,
-0.02715885266661644,
-0.014637403190135956,
0.04356255754828453,
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0.002001948421820998,
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0.03875739872455597,
0.006026183255016804,
0.0028796386905014515,
0.011382938362658024,
... |
CodeDanCode/CartmenBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | 2022-12-13T00:06:04Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b7.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | [
-0.0025250311009585857,
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0.001953445840626955,
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0.040382374078035355,
0.007771011907607317,
0.0030394732020795345,
0.011474101804196835,
... |
CodeMonkey98/distilroberta-base-finetuned-wikitext2 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b7.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | [
-0.011109467595815659,
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0.05090945214033127,
0.012181676924228668,
0.016156109049916267,
0.003300441661849618,
... |
CodeNinja1126/bert-q-encoder | [
"pytorch"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b8.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | [
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0.04520126432180405,
0.010090814903378487,
0.0041006142273545265,
-0.006388314068317413,
... |
CodeNinja1126/koelectra-model | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b8.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | [
-0.012538684532046318,
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0.04149937629699707,
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0.050427019596099854,
0.010606854222714901,
0.016556929796934128,
0.00372761022299528... |
CodeNinja1126/test-model | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 24 | 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: train
... | [
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0.006586355157196522,
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0.05015382915735245,
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0.009252239018678665,
0.... |
CodeNinja1126/xlm-roberta-large-kor-mrc | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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"max_length": null,
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... | 8 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_cc_b0_4e.in1k
A EfficientNet-CondConv image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | [
-0.008208957500755787,
-0.033538565039634705,
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0.035722117871046066,
0.026884138584136963,
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0.04729276895523071,
0.006136775016784668,
0.009991491213440895,
0.011842005886137486,
... |
CoderBoy432/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_cc_b0_8e.in1k
A EfficientNet-CondConv image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | [
-0.008265671320259571,
-0.03417028859257698,
-0.008147047832608223,
0.03595436364412308,
0.02727166935801506,
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0.00219056848436594,
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0.047623664140701294,
0.00590832345187664,
0.00983530841767788,
0.012350788339972496,
0.04... |
CoderEFE/DialoGPT-marxbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"has_space"
] | conversational | {
"architectures": [
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_cc_b1_8e.in1k
A EfficientNet-CondConv image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- *... | [
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0.04268... |
CoderEFE/DialoGPT-medium-marx | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_el.in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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CoffeeAddict93/gpt1-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 8 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_es.in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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CoffeeAddict93/gpt2-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_l2.ns_jft_in1k_475
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper aut... | [
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CoffeeAddict93/gpt2-medium-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 14 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite0.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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0.0414005... |
CoffeeAddict93/gpt2-medium-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite1.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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CoffeeAddict93/gpt2-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite2.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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CogComp/bart-faithful-summary-detector | [
"pytorch",
"jax",
"bart",
"text-classification",
"en",
"dataset:xsum",
"transformers",
"xsum",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BartForSequenceClassification"
],
"model_type": "bart",
"task_specific_params": {
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},
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"length_penalty": 1,
"max_length": 128,
"min_length": 12,
"no_repeat_ng... | 234 | 2022-12-13T00:13:52Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite3.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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0.04... |
CogComp/roberta-temporal-predictor | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.00436",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 14 | 2022-12-13T00:14:03Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite4.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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CohleM/bert-nepali-tokenizer | [] | null | {
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"num_beams... | 0 | 2022-12-13T00:14:15Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b0.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | [
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CohleM/mbert-nepali-tokenizer | [] | null | {
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"num_beams... | 0 | null | ---
language: en
tags:
- Recommendation
license: apache-2.0
datasets:
- surprise
- numpy
- keras
- pandas
thumbnail: https://github.com/Marcosdib/S2Query/Classification_Architecture_model.png
---
![MCTIimg](https://antigo.mctic.gov.br/mctic/export/sites/institucional/institucional/entidadesVinculadas/conselhos/pag-old... | [
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0.033... |
Coldestadam/Breakout_Mentors_SpongeBob_Model | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b1.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | [
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ComCom/gpt2-large | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"GPT2Model"
],
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"no_repeat_ngram_size": nul... | 1 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b2.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | [
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ComCom/gpt2 | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"GPT2Model"
],
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"no_repeat_ngram_size": nul... | 1 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for tf_efficientnetv2_b3.in21k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | [
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Cometasonmi451/Mine | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_l.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type... | [
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cometrain/neurotitle-rugpt3-small | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"en",
"dataset:All-NeurIPS-Papers-Scraper",
"transformers",
"Cometrain AutoCode",
"Cometrain AlphaML",
"license:mit"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 20 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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0... |
Connor-tech/bert_cn_finetuning | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 27 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for tf_efficientnetv2_l.in21k_ft_in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTo... | [
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0.007375387940555811,... |
Connorvr/BrightBot-small | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 7 | 2022-12-13T00:17:01Z | ---
language:
- ar
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: "Whisper Medium AR - gerryc"
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: FLEURS
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Connorvr/TeachingGen | [
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"no_repeat_ngram_size... | 4 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_m.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type... | [
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Contrastive-Tension/BERT-Base-CT-STSb | [
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tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for tf_efficientnetv2_m.in21k_ft_in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTo... | [
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Contrastive-Tension/BERT-Base-CT | [
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"bert",
"fill-mask",
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] | fill-mask | {
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"no_repeat_ngram_size... | 16 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_s.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type... | [
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Contrastive-Tension/BERT-Large-NLI-CT | [
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"fill-mask",
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"no_repeat_ngram_size... | 15 | 2022-12-13T00:21:58Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_a.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | [
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Cooker/cicero-similis | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_c.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | [
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Corvus/DialoGPT-medium-CaptainPrice-Extended | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 7 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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Coyotl/DialoGPT-test-last-arthurmorgan | [
"conversational"
] | conversational | {
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---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squad
pipeline_tag: text2text-generation
tags:
- answer extraction
widget:
- text: "extract answers: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musi... | [
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Coyotl/DialoGPT-test3-arthurmorgan | [
"conversational"
] | conversational | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
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... | [
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Cthyllax/DialoGPT-medium-PaladinDanse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- text-to-audio
inference: true
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License sp... | [
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