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 |
|---|---|---|---|---|---|---|---|
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave | [] | null | {
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"num_beams... | 11 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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D3vil/DialoGPT-smaall-harrypottery | [] | null | {
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language:
- "th"
tags:
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- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "หลายหัวดีกว่าหัวเดียว"
---
# roberta-base-thai-char-ud-goeswith
## Model Description
This is a RoBERTa model pre... | [
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D3xter1922/distilbert-base-uncased-finetuned-cola | [] | null | {
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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D3xter1922/electra-base-discriminator-finetuned-cola | [
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"text-classification",
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"... | 68 | null | ---
language:
- "th"
tags:
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- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "หลายหัวดีกว่าหัวเดียว"
---
# roberta-base-thai-syllable-ud-goeswith
## Model Description
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DSI/personal_sentiment | [
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"bert",
"text-classification",
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"no_rep... | 25 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: LISA_Whisper_medium_latest
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. -->
# LISA_Whi... | [
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alexandrainst/da-ned-base | [
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"tf",
"xlm-roberta",
"text-classification",
"da",
"transformers",
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... | 25 | null | ---
license: apache-2.0
library_name: paddlenlp
language:
- zh
---
[](https://github.com/PaddlePaddle/PaddleNLP)
# PaddlePaddle/uie-base
Information extraction suffers from its varying targets, he... | [
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Dablio/Dablio | [] | null | {
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"num_beams... | 0 | 2022-12-13T06:21:52Z | ---
license: apache-2.0
library_name: paddlenlp
language:
- en
- zh
---
[](https://github.com/PaddlePaddle/PaddleNLP)
# PaddlePaddle/uie-m-base
Information extraction suffers from its varying targ... | [
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Daiki/scibert_scivocab_uncased-finetuned-cola | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: swin-finetuned-food101-e3
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
config: default
split: tra... | [
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Daltcamalea01/Camaleaodalt | [] | null | {
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"num_beams... | 0 | 2022-12-13T06:31:35Z | ---
language:
- cs
license: apache-2.0
tags:
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- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large-v2 Czech CV11
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
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DamolaMack/Classyfied | [] | null | {
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title: Paint by example
emoji: 🔥
colorFrom: green
colorTo: pink
sdk: gradio
sdk_version: 3.6
app_file: app.py
pinned: false
duplicated_from: akhaliq/paint-by-example
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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DanBot/TCRsynth | [] | null | {
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library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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DanL/scientific-challenges-and-directions | [
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"no_rep... | 134 | null | ---
license: apache-2.0
tags:
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model-index:
- name: t5-large_radiology-ai-imagingcancer-0.9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Danbi/distilgpt2-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | Access to model JP3G/dream-page-v1 is restricted and you are not in the authorized list. Visit https://huggingface.co/JP3G/dream-page-v1 to ask for access. | [
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Danbi/distilroberta-base-finetuned-wikitext2 | [] | null | {
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license: apache-2.0
library_name: paddlenlp
language:
- en
- zh
---
[](https://github.com/PaddlePaddle/PaddleNLP)
# PaddlePaddle/uie-x-base
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"num_beams... | 0 | 2022-12-13T07:06:09Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_atto.d2_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
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DarkWolf/kn-electra-small | [
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_base.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stat... | [
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DarkestSky/distilbert-base-uncased-finetuned-ner | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for convnext_base.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model S... | [
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Darkrider/covidbert_medmarco | [
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_base.fb_in22k_ft_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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"num_beams... | 3 | null | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_base.fb_in22k_ft_in1k_384
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Typ... | [
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DarshanDeshpande/marathi-distilbert | [
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"mr",
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"no_repea... | 14 | null | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_femto_ols.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | [
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Darya/layoutlmv2-finetuned-funsd-test | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_large.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Sta... | [
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DataikuNLP/distiluse-base-multilingual-cased-v1 | [
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"distilbert",
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"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
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"no_repeat_ngra... | 29 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-it
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.it
metrics:
- name:... | [
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DavidSpaceG/MSGIFSR | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_pico.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mod... | [
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Davlan/mt5_base_eng_yor_mt | [
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"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 2 | null | Access to model gsornsen/latticat-sd-21-768 is restricted and you are not in the authorized list. Visit https://huggingface.co/gsornsen/latticat-sd-21-768 to ask for access. | [
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Davlan/mt5_base_yor_eng_mt | [
"pytorch",
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"text2text-generation",
"arxiv:2103.08647",
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"no_repeat... | 8 | 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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Davlan/xlm-roberta-base-finetuned-amharic | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 401 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-pu-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | [
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Davlan/xlm-roberta-large-masakhaner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
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... | 1,449 | 2022-12-13T09:11:31Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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Dawit/DialogGPT-small-ironman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.48 +/- 2.81
... | [
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Declan/NPR_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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Declan/NPR_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
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"no_repeat_ngram_size... | 9 | 2022-12-13T11:25:23Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- davanstrien/autotrain-data-recipes
co2_eq_emissions:
emissions: 12.566572385848964
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2451975971
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0... |
Declan/NPR_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
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Declan/NPR_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- davanstrien/autotrain-data-recipes
co2_eq_emissions:
emissions: 14.541576108369506
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2451975974
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Declan/NewYorkTimes_model_v1 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- davanstrien/autotrain-data-recipes
co2_eq_emissions:
emissions: 22.830746522979688
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2451975975
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Declan/NewYorkTimes_model_v3 | [] | null | {
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"num_beams... | 0 | 2022-12-13T11:26:09Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- davanstrien/autotrain-data-recipes
co2_eq_emissions:
emissions: 3.530876469324522
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2451975979
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Declan/NewYorkTimes_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 5 | null | ---
language: mn
license: apache-2.0
tags:
- whisper-event
- hf-asr-leaderboard
- generated_from_multiple_datasets
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
- bayartsogt/ulaanbal-v0
- bayartsogt/youtube-mongolian-v1
metrics:
- wer
- cer
model-index:
- name: whisper-tiny-mn-9
results:
- task:
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Declan/Politico_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
pipeline_tags: 'other'
tags:
- image-text-matching
languages:
- en
license: bsd-3-clause
---
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for BLIP trained on image-text matching - large architecture (with ViT large backbone) trained on C... | [
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0.000511935621034354,
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-0.012256870977580547,
... |
Declan/Politico_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
pipeline_tags: "other"
tags:
- image-text-matching
languages:
- en
license: bsd-3-clause
---
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for BLIP trained on image-text matching - base architecture (with ViT base backbone) trained on Flickr3... | [
0.00023392464208882302,
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0.001328513491898775,
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0.07589450478553772,
0.03213587403297424,
-0.025932645425200462,
-0.013927865773439407,
0.05... |
Declan/Politico_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037021100521087646,
-0.0022251284681260586,
-0.004839875269681215,
0.025592587888240814,
0.045737747102975845,
-0.0212517362087965,
-0.00614253431558609,
-0.02760680578649044,
-0.0331958532333374,
0.06638646870851517,
0.032291196286678314,
-0.023651057854294777,
0.02290349267423153,
0.0... |
Declan/Politico_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
widget:
- text: trsldamrl Donald Trump
example_title: Retro3d donald Trump
- text: trsldamrl keanu reeves
example_title: Retro3d Keanu Reeves
- text: trsldamrl wizard castle
example_title: Retro3d wizard castl... | [
-0.02283646911382675,
-0.027787955477833748,
-0.023711582645773888,
0.036423396319150925,
0.03612314537167549,
0.02520878054201603,
-0.009936547838151455,
-0.030617935582995415,
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0.03139045462012291,
0.02084794081747532,
0.02521458826959133,
-0.005211686249822378,
0.027... |
Declan/Reuters_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: 10_epochs_camembert_jb
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. -->
# 10_epochs_camembert... | [
-0.040176279842853546,
0.014478303492069244,
-0.005019481759518385,
0.035528358072042465,
0.025515422224998474,
0.010864375159144402,
-0.01844177208840847,
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-0.037784282118082047,
0.04708174243569374,
0.010352443903684616,
-0.03666575625538826,
0.002003932138904929,
0... |
Declan/Reuters_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "Vull sentir una canço del Pets"
- text: "Com puc anar a l'estació de trens?"
- text: "afegeix a la llista de la compra un litre de llet"
datasets:
- crodri/autotrain-data-massive-4-catalan
co2_eq_emissions:
emissions: 13.789236303098791
---
... | [
-0.02086336724460125,
-0.03352556750178337,
0.002111251698806882,
0.04098290205001831,
0.03847469389438629,
0.027263063937425613,
-0.035214900970458984,
-0.013815648853778839,
-0.03677040711045265,
0.07428740710020065,
0.01945701241493225,
0.0027045286260545254,
-0.016229068860411644,
0.03... |
Declan/Reuters_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language: zh
datasets: couplet
tags:
- translation
inference:
parameters:
max_length: 108
num_return_sequences: 1
do_sample: True
widget:
- text: "燕子归来，问昔日雕梁何处"
example_title: "对联1"
- text: "笑取琴书温旧梦"
example_title: "对联2"
- text: "煦煦春风，吹暖五湖四海"
example_title: "对联3"
---
# 对联
## Model descri... | [
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0.06764303147792816,
0.021677935495972633,
0.008771827444434166,
0.0028086225502192974,
0... |
Declan/WallStreetJournal_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2022-12-13T12:12:05Z | ---
tags:
- conversational
---
# Harry Potter DialoGPT model | [
-0.028129419311881065,
0.0056891064159572124,
0.014071560464799404,
0.03165130317211151,
0.00770519720390439,
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0.01445788610726595,
-0.020107097923755646,
0.01742897927761078,
0.02833040989935398,
-0.033650998026132584,
0.010810338892042637,
0.03... |
Declan/WallStreetJournal_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
-0.02725583128631115,
0.018595213070511818,
0.004550037439912558,
0.009311252273619175,
0.04198719188570976,
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0.08427608758211136,
0.016792383044958115,
-0.004369162488728762,
0.013813444413244724,
0.... |
DeepChem/ChemBERTa-77M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 2,416 | 2022-12-13T12:37:50Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: cervantes-gpt
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. -->
# cervantes-gpt
This model is... | [
-0.005180520471185446,
-0.015302496030926704,
0.002844936680048704,
0.04236330837011337,
0.04277949035167694,
0.0075813177973032,
-0.008465289138257504,
0.003939304035156965,
-0.03353367745876312,
0.041841376572847366,
-0.016303252428770065,
-0.027160048484802246,
-0.0043269009329378605,
0... |
DeepChem/SmilesTokenizer_PubChem_1M | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 227 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- rotten_tomatoes
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-rotten-tomatoes
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: rotten_tomatoes
type: rot... | [
0.0023479871451854706,
0.015559272840619087,
-0.02178995870053768,
0.031537219882011414,
0.04999958723783493,
0.018769463524222374,
-0.028333621099591255,
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0.05442436411976814,
0.03044346533715725,
-0.015502598136663437,
0.008199961856007576,
0.0... |
DeepESP/gpt2-spanish | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1,463 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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0.05224274843931198,
0.01672360859811306,
-0.0062021780759096146,
0.011819496750831604,
0.... |
DeepPavlov/xlm-roberta-large-en-ru | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"en",
"ru",
"transformers"
] | feature-extraction | {
"architectures": [
"XLMRobertaModel"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngr... | 190 | null | ---
language:
- vi
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large Vietnamese - Drishti Sharma
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
... | [
-0.030612703412771225,
-0.018499309197068214,
0.005359610076993704,
0.040736809372901917,
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-0.011115750297904015,
-0.0227546077221632,
0.06096017360687256,
0.04443429037928581,
-0.03471563383936882,
0.018621889874339104,
0.... |
DeltaHub/adapter_t5-3b_cola | [
"pytorch",
"transformers"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model with best settings (VAE, scheduler, ETC) for finetuining.
| [
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-0.012189543806016445,
-0.01093605812638998,
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0.05648419260978699,
-0.004042644985020161,
0.010907777585089207,
0.002342374762520194,
-0.004643643740564585,
0.04373181611299515,
0.04250231012701988,
0.010045371018350124,
0.0226680226624012,
0.03... |
DemangeJeremy/4-sentiments-with-flaubert | [
"pytorch",
"flaubert",
"text-classification",
"fr",
"transformers",
"sentiments",
"french",
"flaubert-large"
] | text-classification | {
"architectures": [
"FlaubertForSequenceClassification"
],
"model_type": "flaubert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 226 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt-finetuning-cervantes
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-finetuning-ce... | [
-0.002844754606485367,
-0.010974581353366375,
0.013292976655066013,
0.03380542993545532,
0.041574764996767044,
0.005079728551208973,
-0.012113602831959724,
0.00792386569082737,
-0.03155388683080673,
0.03754875436425209,
-0.011644218116998672,
-0.028676539659500122,
0.005626998376101255,
0.... |
Deniskin/emailer_medium_300 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | 2022-12-13T13:36:32Z | ---
tags:
- generated_from_keras_callback
model-index:
- name: hubert-mini-wiki-seq128
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. -->
# hubert-mini-wiki-seq128
This ... | [
-0.025489261373877525,
-0.0180616844445467,
-0.021886862814426422,
0.032421618700027466,
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0.024267220869660378,
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0.04950133338570595,
0.01255602203309536,
-0.014878361485898495,
0.015122421085834503,
0.... |
Deniskin/essays_small_2000i | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-13T13:38:16Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03778849169611931,
-0.0022624435368925333,
-0.005055954679846764,
0.025371184572577477,
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0.06640508025884628,
0.032812345772981644,
-0.023803263902664185,
0.022864101454615593,
... |
Denny29/DialoGPT-medium-asunayuuki | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2022-12-13T13:45:04Z | ---
language:
- be
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Medium Belarusian
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... | [
-0.0412103496491909,
-0.011797663755714893,
-0.026616159826517105,
0.04834739863872528,
0.04673812910914421,
0.026830678805708885,
0.008116777054965496,
0.0019581520464271307,
-0.02907169610261917,
0.06038839370012283,
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DeskDown/MarianMixFT_en-fil | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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"no_repeat_ngram_size... | 3 | 2022-12-13T13:58:43Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- v2.1
- Embedding
---
TI embedding trained on 768x768 stills from 'The Transformers. The Movie' (1986).
*Install by downloading the embedding, and putting it in the **\embeddings** folder.*
*Use embedding's filename in your prompt to activate the style*
... | [
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DeskDown/MarianMixFT_en-th | [
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"no_repeat_ngram_size... | 3 | null | ---
language:
- as
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: openai/whisper-medium-Assamese
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
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DeskDown/MarianMix_en-ja-10 | [
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"no_repeat_ngram_size... | 1 | 2022-12-13T14:14:42Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: t5-small-finetuned-NL2ModelioMQ-EN
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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Devid/DialoGPT-small-Miku | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | 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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DevsIA/imagenes | [] | null | {
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"num_beams... | 0 | null | ---
language:
- sv
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: Whisper Small SV
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 thi... | [
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Dibyaranjan/nl_image_search | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- vicreg
- vision
datasets:
- imagenet-1k
---
# VICReg ResNet-50
ResNet-50 pretrained with VICReg. VICReg was introduced in [VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning](https://arxiv.org/abs/2104.14294), while ResNet was introduced in [Deep Residual Learning for Imag... | [
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DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro | [
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"tensorboard",
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"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_size... | 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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Digakive/Hsgshs | [] | null | {
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"num_beams... | 0 | 2022-12-13T14:56:54Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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Dimedrolza/DialoGPT-small-cyberpunk | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 9 | 2022-12-13T15:02:02Z | ---
pipeline_tag: sentence-similarity
tags:
- setfit
- endpoints-template
- text-classification
inference: false
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or... | [
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0.0... |
DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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Dkwkk/Da | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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Dmitriiserg/Pxd | [] | null | {
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"num_beams... | 0 | null | ---
model-index:
- name: Sociovestix/lenu_US-DE
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: lenu
type: Sociovestix/lenu
config: US-DE
split: test
revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe
metrics:
- type: f1
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Donghyun/L2_BERT | [] | null | {
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language:
- sl
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Medium Slovenian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
na... | [
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Dongmin/testmodel | [
"pytorch",
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"text2text-generation",
"transformers",
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] | text2text-generation | {
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"no_repeat_ngram_s... | 11 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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Waynehillsdev/Waynehills_summary_tensorflow | [
"tf",
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"text2text-generation",
"transformers",
"generated_from_keras_callback",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_n... | 5 | 2022-12-13T15:49:40Z | ---
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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Waynehillsdev/waynehills_sentimental_kor | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | {
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"ElectraForSequenceClassification"
],
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"... | 33 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: s7s
---
### hhe_768_2_1_2400steps Dreambooth model trained by HusseinHE with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model
You run your new concept via `diff... | [
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Doquey/DialoGPT-small-Luisbot1 | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_grantss
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.769098972
- name: NER Recall
type: recall
value: 0.6617812852
- na... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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"no_rep... | 44 | 2022-12-13T16:24:00Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: disilbert-blm-tweets-binary
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. -->
# disilb... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
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],
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},
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"no_rep... | 28 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"no_rep... | 28 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 37 | 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)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 33 | 2022-12-13T16:35:03Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
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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DoyyingFace/bert-asian-hate-tweets-asonam-clean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 27 | 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: 7.54 +/- 2.73... | [
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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 | {
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"AlbertForMaskedLM"
],
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},
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"min_length": null,
"no_repeat_ngram_... | 38,156 | 2022-12-13T16:48:32Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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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",
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] | fill-mask | {
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"no_repeat_ngram_... | 4,785,283 | 2022-12-13T16:48:34Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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albert-large-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 687 | 2022-12-13T16:48:36Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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albert-large-v2 | [
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"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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"no_repeat_ngram_... | 26,792 | 2022-12-13T16:48:42Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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0.0... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 341 | 2022-12-13T16:48:49Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 7,091 | 2022-12-13T16:48:50Z | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
| [
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0.0... |
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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],
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"no_repeat_ngram_... | 42,640 | null | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
| [
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... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 11,644 | 2022-12-13T16:51:10Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DeathCharacter Dreambooth model trained by LaCambre with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Col... | [
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bert-base-german-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"exbert",
"license:mit",
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] | fill-mask | {
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"no_repeat_ngram_size... | 175,983 | 2022-12-13T16:58:36Z | ---
language:
- ta
- te
- ml
- kn
- multilingual
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
model-index:
- name: Whisper Tiny South Indic - Bharat Ramanathan
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... | [
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bert-base-german-dbmdz-uncased | [
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"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
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] | fill-mask | {
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"no_repeat_ngram_size... | 68,305 | 2022-12-13T17:01:21Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_text_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | [
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bert-base-multilingual-cased | [
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"safetensors",
"bert",
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"af",
"sq",
"ar",
"an",
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"my",
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"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
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],
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},
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"no_repeat_ngram_size... | 4,749,504 | 2022-12-13T17:04:49Z | ---
model-index:
- name: Sociovestix/lenu_DE
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: lenu
type: Sociovestix/lenu
config: DE
split: test
revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe
metrics:
- type: f1
value... | [
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bert-base-uncased | [
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"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"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_ngram_size... | 59,663,489 | 2022-12-13T17:07:01Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: funnel-transformer-xlarge_cls_SentEval-CR
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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0.0481453537940979,
0.020469198003411293,
-0.02199091762304306,
-0.0037068172823637724,
0... |
bert-large-cased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 8,214 | 2022-12-13T17:12:02Z | ---
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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0.06629782915115356,
0.03180377557873726,
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0.022540831938385963,
0... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 480,510 | 2022-12-13T17:25:24Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: albert-large-v2_cls_SentEval-CR
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... | [
-0.016082769259810448,
0.0012123502092435956,
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0.0512581430375576,
0.025218162685632706,
-0.01973395049571991,
0.005068208556622267,
0.0... |
bert-large-uncased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"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_repeat_ngram_size... | 76,685 | 2022-12-13T17:25:56Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: albert-large-v2_cls_CR
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
-0.015097196213901043,
0.007166857831180096,
-0.018303440883755684,
0.045719895511865616,
0.03776014968752861,
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-0.02433723583817482,
0.05316910520195961,
0.02313300408422947,
-0.023326247930526733,
0.0005578320706263185,
... |
distilbert-base-multilingual-cased | [
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
... | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 8,339,633 | 2022-12-13T17:32:47Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-large-cnn-samsum-ChatGPT_v3
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. -->
# bart-larg... | [
-0.0278156865388155,
0.0010852107079699636,
-0.019341861829161644,
0.045095011591911316,
0.036879587918519974,
0.015398243442177773,
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-0.03588417172431946,
0.06198678910732269,
0.04543422535061836,
-0.0027610906399786472,
0.030210060998797417,
0.... |
distilbert-base-uncased-finetuned-sst-2-english | [
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"has_space"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 3,060,704 | 2022-12-13T17:35:55Z | ---
tags:
- generated_from_trainer
model-index:
- name: elec-gmusic-familized-model-13-12__17-35-53
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. -->
# elec-gmusic... | [
-0.04460855573415756,
-0.0008537793764844537,
-0.014642593450844288,
0.03996755927801132,
0.01795719377696514,
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0.04796324297785759,
0.046230196952819824,
-0.024443699046969414,
0.0023269548546522856,
0... |
distilgpt2 | [
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"coreml",
"safetensors",
"gpt2",
"text-generation",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"transformers",
"exbert",
"license:apache-2.0",
"model-... | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1,611,668 | 2022-12-13T17:37:53Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: microsoft-deberta-v3-large_cls_sst2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
-0.02024303562939167,
0.00063263566698879,
-0.015426061116158962,
0.02740703895688057,
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0.06928885728120804,
0.016272058710455894,
-0.033526793122291565,
0.01019611582159996,
0.046... |
AJ/DialoGPT-small-ricksanchez | [
"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 | 2022-12-13T21:59:34Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.7... | [
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0.05493864789605141,
0.019689438864588737,
-0.005948653910309076,
0.011897357180714607,
... |
AKulk/wav2vec2-base-timit-epochs20 | [] | 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 | 2022-12-13T22:34:46Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### evgengrcivface Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 C... | [
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0.029894080013036728,
0.04041192680597305,
0.01865771971642971,
-0.0184775423258543,
0.030... |
AT/distilroberta-base-finetuned-wikitext2 | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 9 | null | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
| [
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0.042792219668626785,
0.025687389075756073,
-0.0006620288477279246,
0.03954674303531647,
... |
AdapterHub/bert-base-uncased-pf-conll2003 | [
"bert",
"en",
"dataset:conll2003",
"arxiv:2104.08247",
"adapter-transformers",
"token-classification",
"adapterhub:ner/conll2003"
] | token-classification | {
"architectures": null,
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 3 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03704918175935745,
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0.06654506176710129,
0.03215135633945465,
-0.02341395616531372,
0.02264449931681156,
0.... |
AdapterHub/roberta-base-pf-quoref | [
"roberta",
"en",
"dataset:quoref",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
"architectures": null,
"model_type": "roberta",
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# d... | [
-0.03886256739497185,
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0.04481882601976395,
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0.02761908806860447,
0.0467015840113163,
-0.028232242912054062,
0.02195812575519085,
0.0236... |
Addixz/Sanyx | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
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... | [
-0.036845043301582336,
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0.04558455944061279,
0.024469349533319473,
-0.05267833173274994,
0.011016756296157837,
0.... |
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