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 |
|---|---|---|---|---|---|---|---|
DoyyingFace/bert-asian-hate-tweets-asonam-unclean | [
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"transformers"
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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albert-base-v1 | [
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"no_repeat_ngram_... | 38,156 | 2023-03-10T21:50:51Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: bucket-not-bucket
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9777777791023254
---
# bucket-not-bucke... | [
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albert-large-v1 | [
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"no_repeat_ngram_... | 687 | 2023-03-10T21:55:35Z | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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albert-large-v2 | [
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"no_repeat_ngram_... | 26,792 | 2023-03-10T22:01:12Z | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_legal_bert_small
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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albert-xlarge-v1 | [
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"no_repeat_ngram_... | 341 | 2023-03-10T22:01:30Z | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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bert-base-cased-finetuned-mrpc | [
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"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
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"no_repeat_ngram_size... | 11,644 | 2023-03-10T22:09:14Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
widget:
- text: "A high tech solarpunk utopia in the Amazon rainforest"
example_title: Amazon rainforest
- text: "A pikachu fine dining with a view to the Eiffel Tower"
example_title: Pikachu in Paris
- text: "A... | [
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bert-base-german-dbmdz-cased | [
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"de",
"transformers",
"license:mit",
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"no_repeat_ngram_size... | 1,814 | 2023-03-10T22:16:01Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: keyword_category_classifier_v4
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 ... | [
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bert-base-german-dbmdz-uncased | [
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"no_repeat_ngram_size... | 68,305 | 2023-03-10T22:19:37Z | ---
license: apache-2.0
datasets:
- hackathon-pln-es/neutral-es
language:
- es
metrics:
- bleu
tags:
- Text Neutralization
- Inclusive Language
--- | [
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bert-base-multilingual-cased | [
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"et",
... | fill-mask | {
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"no_repeat_ngram_size... | 4,749,504 | 2023-03-10T22:22:17Z | ---
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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"no_repeat_ngram_size... | 328,585 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-copterv1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
me... | [
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bert-large-cased-whole-word-masking-finetuned-squad | [
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"no_repeat_n... | 8,214 | 2023-03-10T22:35:21Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: UchihaMadara/thesis-pretrained
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. -->
# Uch... | [
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"no_repeat_ngram_size... | 2,316 | 2023-03-10T22:35:59Z | ---
license: creativeml-openrail-m
---
This is a clone copy of Stable Diffusion Models from Civitai for Colab training purposes.
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distilbert-base-multilingual-cased | [
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... | fill-mask | {
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"no_repea... | 8,339,633 | 2023-03-10T22:54:42Z | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: marian-finetuned-kde4-en-to-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: ... | [
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13306330378/huiqi_model | [] | null | {
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"num_beams... | 0 | 2023-03-11T02:43:04Z |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - https://huggingface.co/yichengwang125/pokemon-lora
These are LoRA adaption weights for runwayml... | [
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AK/ak_nlp | [
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"no_repeat_ngra... | 6 | 2023-03-11T06:37:19Z | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- ppicazo/autotrain-data-astrophotography-object-classifier-alpha4
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/te... | [
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AT/distilbert-base-cased-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | Access to model dpogreb/autotrain-nyx-40340104916 is restricted and you are not in the authorized list. Visit https://huggingface.co/dpogreb/autotrain-nyx-40340104916 to ask for access. | [
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AT/distilgpt2-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | 2023-03-11T08:20:19Z | ---
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 0 dimensional dense vector space and can be used for tasks like clustering or semantic ... | [
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AdapterHub/bert-base-uncased-pf-comqa | [
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license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text ... | [
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AdapterHub/bert-base-uncased-pf-conll2000 | [
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"num_bea... | 4 | null | ---
tags:
- conversational
---
#Safalin DialoGPT Model | [
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"num_bea... | 6 | null | ---
datasets:
- artemkramov/coreference-dataset-ua
language:
- uk
tags:
- coreference-resolution
- anaphora
widget:
- text: "Jens Peter Hansen kommer fra Danmark"
example_title: "Coreference resolution"
model-index:
- name: test
results:
- task:
type: coreference-resolution # Required. Example: ... | [
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AdapterHub/bert-base-uncased-pf-copa | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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AdapterHub/bert-base-uncased-pf-drop | [
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"num_bea... | 4 | null | ---
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
---
This is a public repo, for testing purpose only. | [
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library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: MlpPolicy
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-... | [
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AdapterHub/bert-base-uncased-pf-emo | [
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"num_bea... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
- gov report
- long document
metrics:
- rouge
model-index:
- name: long-t5-base-govreport
results: []
datasets:
- pszemraj/govreport-summarization-8192
language:
- en
library_name: transformers
pipeline_tag: summarization
---
<!-- This model card has been genera... | [
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library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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"num_bea... | 0 | null | Access to model Abdullah007/image-classification-ResNet50 is restricted and you are not in the authorized list. Visit https://huggingface.co/Abdullah007/image-classification-ResNet50 to ask for access. | [
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tags:
- generated_from_keras_callback
model-index:
- name: Rishu115/mlm-bert-train_finalTraining
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. -->
# Rishu115/mlm-ber... | [
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"num_bea... | 52 | null | ---
license: mit
language:
- en
pipeline_tag: text-generation
tags:
- gpt
- gpt2
- gpt3
- ai dungeon
- ai
- dungeon
- medium
- en
- english
- text
- generation
- text generation
---
Large model from https://github.com/KoolenDasheppi/Clover-Edition
Working good only with English language. | [
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
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AdapterHub/bert-base-uncased-pf-newsqa | [
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"num_bea... | 3 | 2023-03-11T11:46:56Z | ---
language:
- bn
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
- openslr
metrics:
- wer
model-index:
- name: Whisper Small - Mohammed Rakib
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech R... | [
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AdapterHub/bert-base-uncased-pf-pmb_sem_tagging | [
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"num_bea... | 4 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
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AdapterHub/bert-base-uncased-pf-quail | [
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license: mit
datasets:
- ThePioneer/Ver0_voice_dataset
language:
- en
- ja
- zh
tags:
- music
- voice
---
アニメ声のようなわざとらしい声でもなく、ボカロなどのソフトを使ったいかにも合成の音声でもなく、クラスに一人くらいいそうな、自然で親しみやすい美少女の声を…。
本モデルは、そういうコンセプトで開発された[So-vits-svc 4.0](https://github.com/svc-develop-team/so-vits-svc)のモデルです。
一次音声は私自身の肉声から合成し、その素材をElevenLabsで... | [
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"num_bea... | 2 | 2023-03-11T11:53:33Z | ---
library_name: sample-factory
tags:
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- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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AdapterHub/bert-base-uncased-pf-quoref | [
"bert",
"en",
"dataset:quoref",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
"architectures": null,
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},
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"num_bea... | 6 | 2023-03-11T12:01:36Z |
---
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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AdapterHub/bert-base-uncased-pf-scicite | [
"bert",
"en",
"dataset:scicite",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification"
] | text-classification | {
"architectures": null,
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"num_bea... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-4
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rewa... | [
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AdapterHub/bert-base-uncased-pf-snli | [
"bert",
"en",
"dataset:snli",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification"
] | text-classification | {
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"num_bea... | 8 | null | # An alias of [relbert/relbert-roberta-base-nce-semeval2012-0](https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-0). | [
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AdapterHub/bert-base-uncased-pf-social_i_qa | [
"bert",
"en",
"dataset:social_i_qa",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
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"num_bea... | 4 | null | ---
language:
- en
tags:
- openvino
---
# distilbert-base-uncased-distilled-squad
This is the [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
An example of how to do inference on ... | [
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AdapterHub/bert-base-uncased-pf-squad | [
"bert",
"en",
"dataset:squad",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering",
"adapterhub:qa/squad1"
] | question-answering | {
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"num_bea... | 9 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/jacksepticeye/1678537664774/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... | [
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AdapterHub/bert-base-uncased-pf-stsb | [
"bert",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sts/sts-b"
] | text-classification | {
"architectures": null,
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},
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"num_bea... | 3 | null | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
- keras-dreambooth
- nature
license: creativeml-openrail-m
inference: true
library_name: keras
---
## Model description
This the Stable Diffusion model fine-tuned the Low Poly World concept taught to Stable Diffusion with Dreambooth. It can be used... | [
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0.0... |
Ahmadvakili/A | [] | 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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0.... |
Akashpb13/Central_kurdish_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ckb",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
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"no_repeat_ngram_s... | 10 | null | ---
license: mit
language:
- en
pipeline_tag: text-to-image
--- | [
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0... |
Alireza1044/albert-base-v2-stsb | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
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},
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"max_length": null,
"min_length": null,
"no... | 37 | 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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... |
AmazonScience/qanlu | [
"pytorch",
"roberta",
"question-answering",
"en",
"dataset:atis",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
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},
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"max_length": null,
"min_length": null,
"no_re... | 494 | null | ---
license: mit
datasets:
- mrqa
language:
- en
metrics:
- squad
library_name: adapter-transformers
pipeline_tag: question-answering
---
# Description
This is the single-dataset adapter for the NaturalQuestions partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and shoul... | [
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0.... |
Amba/wav2vec2-large-xls-r-300m-turkish-colab | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
datasets:
- mrqa
language:
- en
metrics:
- squad
library_name: adapter-transformers
pipeline_tag: question-answering
---
# Description
This is the single-dataset adapter for the NewsQA partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and should be used ... | [
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0.036... |
aisoftware/Loquela | [
"onnx"
] | null | {
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"num_beams... | 0 | null | ---
license: mit
datasets:
- mrqa
language:
- en
metrics:
- squad
library_name: adapter-transformers
pipeline_tag: question-answering
---
# Description
This is the single-dataset adapter for the TriviaQA partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and should be use... | [
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0.010576090775430202,
0.037... |
AmitT/test | [] | 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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0.025483746081590652,
... |
Amro-Kamal/gpt | [] | null | {
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"num_beams... | 0 | 2023-03-11T21:25:53Z | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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... |
AndrewMcDowell/wav2vec2-xls-r-1B-german | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 8 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.77
... | [
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0.... |
AndrewMcDowell/wav2vec2-xls-r-1b-arabic | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 7 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/thenataliemars/1678571937087/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; ... | [
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0... |
AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ja",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 6 | null | ---
license: mit
datasets:
- mrqa
language:
- en
metrics:
- squad
library_name: adapter-transformers
pipeline_tag: question-answering
---
# Description
This is the MADE encoder model created by Friedman et al. (2021). This encoder should be used along with the following dataset-specific adapters.
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license: apache-2.0
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tags:
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tags:
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Andrianos/bert-base-greek-punctuation-prediction-finetuned | [
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Andrija/M-bert-NER | [
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Andrija/SRoBERTa-F | [
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tags:
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license: apache-2.0
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widget:
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license: apache-2.0
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: agpl-3.0
tags:
- text-to-image
- image-to-text
- image-captioning
- image-variation
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- multi-modality
- generative model
---
UniDiffuser is a unified diffusion framework to fit all distributions relevant to a set of multi-modal data in one transformer.
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language: fo
datasets:
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tags:
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license: cc-by-4.0
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tags:
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- reinforce
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model-index:
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type: reinforcement-learning
name: reinforcement-learning
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license: apache-2.0
tags:
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model-index:
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results: []
---
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library_name: stable-baselines3
tags:
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model-index:
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results:
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license: other
tags:
- generated_from_trainer
model-index:
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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. -->
# segment_test_1
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license: cc-by-4.0
tags:
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datasets:
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model-index:
- name: xlm-roberta-base-squad2-finetuned-squad2-covidQA-V2-all-data
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
tags:
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---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
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license: apache-2.0
tags:
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---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
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license: apache-2.0
tags:
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metrics:
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model-index:
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results: []
---
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library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
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tags:
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model-index:
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results:
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tags:
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library_name: stable-baselines3
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results:
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library_name: sample-factory
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library_name: sample-factory
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results:
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library_name: sample-factory
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cppe-5
model-index:
- name: Raiyan_Kasper_Model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy | [
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"no_repeat_ngram_size... | 2 | 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:
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value: 7.56 +/- 2.71... | [
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: distilbert-base-uncased_finetuned_text_2_disease_cel
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | [
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AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_squad2.0 | [
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"no_re... | 4 | 2023-03-12T09:46:08Z | Теги вызова стилей
ogipote
drawdream1025
watanabe akio/ official art
tanabe kyou
Умеет в blush stickers, light blush, body blush, knee blush, shoulder blush, ringed eyes, slit pupils | [
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"... | 27 | 2023-03-12T09:47:57Z | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
- keras-dreambooth
- nature
license: creativeml-openrail-m
inference: true
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0 | [
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"no_re... | 4 | null | 推荐采样器:Euler a DPM++ 2M Karras DPM++ SDE Karras 建议自己多尝试
推荐vae:mse840000_klf8anime.vae和vae-ft-mse-840000-ema-pruned
推荐高清修复算法:Latent (nearest-exact)和Latent
效果图:不保证一定可以,多抽卡 优化tag和负面tag抄 Vすき焼き@AIart 这位的,感谢分享
((masterpiece:1.4, best quality)),((masterpiece, best quality)),cute little girl,loli,feel happy,graduate,Cherry ... | [
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"... | 24 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa | [
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"no_rep... | 27 | 2023-03-12T10:45:52Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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AnonymousSub/specter-bert-model | [
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"no_repeat_ngram_size": nul... | 6 | 2023-03-12T10:46:08Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AnonymousSub/unsup-consert-base_copy_wikiqa | [
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"no_rep... | 26 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AnonymousSub/unsup-consert-base_squad2.0 | [
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"no_repeat_n... | 2 | 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 1536 dimensional dense vector space and can be used for tasks like clustering or semant... | [
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AnonymousSub/unsup-consert-papers-bert | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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ArBert/albert-base-v2-finetuned-ner | [
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"tensorboard",
"albert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
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},
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"no_re... | 19 | null | ---
tags:
- CartPole-v1
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
... | [
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Aran/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
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],
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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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Arnold/wav2vec2-large-xlsr-hausa2-demo-colab | [
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"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: distilbert-base-uncased_finetuned_text_2_disease_cel_v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | [
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ArpanZS/debug_squad | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"no_repeat_n... | 14 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: helicopters-Vit
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6041666865348816
---
# helicopters-Vit
... | [
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0... |
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