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 |
|---|---|---|---|---|---|---|---|
DaisyMak/bert-finetuned-squad-accelerate-10epoch_transformerfrozen | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"no_repeat_n... | 1,907 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- science
widget:
- text: a photo of cms cosmos
---
# DreamBooth model for cms trained by carlosabadia.
This is a Stable Diffusion model fine-tuned on the cms concept with ... | [
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DamolaMack/Classyfied | [] | null | {
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language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- kejian/codeparrot-train-more-filter-3.3b-cleaned
model-index:
- name: sunny-conditional
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | [
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Danbi/distilroberta-base-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-multilingual-cased-finetuned-ijelid
results: []
widget:
- text: "Productnya bagus bgt guys, nek bales chat cepet tur pelayanane apik."
---
<!-- This model card has been generated automatically according to... | [
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Danih1502/t5-small-finetuned-en-to-de | [] | null | {
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"num_beams... | 0 | 2023-01-21T09:03:46Z | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: indobertweet-finetuned-ijelid
results: []
widget:
- text: "Productnya bagus bgt guys, nek bales chat cepet tur pelayanane apik."
---
<!-- This model card has been generated automatically according to the information... | [
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Darkrider/covidbert_mednli | [
"transformers"
] | null | {
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"num_beams... | 3 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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DarshanDeshpande/marathi-distilbert | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
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"no_repea... | 14 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-test
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. -->
# wav2vec2-test
This m... | [
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0.03... |
DataikuNLP/average_word_embeddings_glove.6B.300d | [
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"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
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"num_beams... | 0 | null | Access to model paxstan/wav2vec2_960_test is restricted and you are not in the authorized list. Visit https://huggingface.co/paxstan/wav2vec2_960_test to ask for access. | [
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DataikuNLP/distiluse-base-multilingual-cased-v1 | [
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"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
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"no_repeat_ngra... | 29 | 2023-01-21T10:07:31Z | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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Dave/twomad-model | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.01... |
DavidAMcIntosh/small-rick | [] | null | {
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"num_beams... | 0 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert_sa_GLUE_Experiment_qnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QNLI
type: glue
config: qnli
... | [
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Davlan/bert-base-multilingual-cased-finetuned-amharic | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 109 | 2023-01-21T11:02:46Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
##Dreambooth model trained by perion with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Test prompt:
Portrait of perion man... | [
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Davlan/bert-base-multilingual-cased-finetuned-igbo | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 15 | 2023-01-21T11:05:40Z | ---
license: apache-2.0
---
# WD 1.4 ConvNext Tagger V2
Supports ratings, characters and general tags.
Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo.
TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
## Dataset
Last image id: 5944504
Trained on D... | [
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Davlan/bert-base-multilingual-cased-finetuned-luganda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 16 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: mobilebert_sa_GLUE_Experiment_mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
config: m... | [
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Davlan/bert-base-multilingual-cased-finetuned-wolof | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 4 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_sa_GLUE_Experiment_qnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QNLI
type: glue
config: qnli
... | [
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Davlan/bert-base-multilingual-cased-ner-hrl | [
"pytorch",
"tf",
"bert",
"token-classification",
"transformers",
"autotrain_compatible",
"has_space"
] | token-classification | {
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],
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"no_repeat... | 269,898 | 2023-01-21T11:32:55Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilbert_sa_GLUE_Experiment_qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
config: qqp... | [
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Davlan/distilbert-base-multilingual-cased-masakhaner | [
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"tf",
"distilbert",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
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... | 16 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: microsoft-resnet-50-cartoon-emotion-detection
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
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Davlan/mbart50-large-yor-eng-mt | [
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
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] | text2text-generation | {
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"no_re... | 5 | null | ---
license: apache-2.0
---
# WD 1.4 SwinV2 Tagger V2
Supports ratings, characters and general tags.
Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo.
TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
## Dataset
Last image id: 5944504
Trained on Dan... | [
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Davlan/mt5-small-pcm-en | [
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"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 9 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- kejian/codeparrot-train-more-filter-3.3b-cleaned
model-index:
- name: final-conditional
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | [
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Davlan/mt5_base_yor_eng_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
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},
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"no_repeat... | 8 | 2023-01-21T12:02:02Z | ---
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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Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 5 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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Davlan/xlm-roberta-base-finetuned-igbo | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"no_repe... | 68 | 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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Davlan/xlm-roberta-base-finetuned-lingala | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repe... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikitext
metrics:
- accuracy
model-index:
- name: mobilebert_sa_pre-training-complete
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: wikitext wikitext-103-raw-v1
type: wikitext
config... | [
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Davlan/xlm-roberta-base-finetuned-luo | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | [
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Davlan/xlm-roberta-base-finetuned-shona | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"min_length": null,
"no_repe... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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Davlan/xlm-roberta-base-finetuned-swahili | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 40 | 2023-01-21T12:54:28Z |
---
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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0.0... |
Davlan/xlm-roberta-base-finetuned-xhosa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
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"no_repe... | 12 | 2023-01-21T12:58:19Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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Davlan/xlm-roberta-base-ner-hrl | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
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... | 760 | 2023-01-21T13:15:30Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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0.... |
Davlan/xlm-roberta-base-wikiann-ner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
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... | 235 | null | ---
tags:
- generated_from_trainer
model-index:
- name: phobert_notaugmentation
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. -->
# phobert_notaugmentation
This m... | [
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Davlan/xlm-roberta-large-ner-hrl | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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],
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... | 1,322 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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Dayout/test | [] | null | {
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"num_beams... | 0 | 2023-01-21T14:11:43Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert_sa_GLUE_Experiment_rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
config: rte
... | [
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Dazai/Ok | [] | null | {
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"num_beams... | 0 | 2023-01-21T14:14:51Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert_sa_GLUE_Experiment_sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
config: sst2
... | [
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DeBERTa/deberta-v2-xxlarge | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cppe-5
model-index:
- name: detr-resnet-50_finetuned_cppe5
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 c... | [
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DeadBeast/korscm-mBERT | [
"pytorch",
"bert",
"text-classification",
"korean",
"dataset:Korean-Sarcasm",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 43 | 2023-01-21T14:26:38Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert_sa_GLUE_Experiment_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
config: stsb
... | [
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DeadBeast/mbert-base-cased-finetuned-bengali-fakenews | [
"pytorch",
"bert",
"text-classification",
"bengali",
"dataset:BanFakeNews",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 37 | 2023-01-21T14:38:54Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.... |
DeadBeast/roberta-base-pretrained-mr | [
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 6 | 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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DecafNosebleed/DialoGPT-small-ScaraBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 15 | 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: 7.54 +/- 2.73
... | [
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Declan/Breitbart_model_v2 | [
"pytorch",
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"no_repeat_ngram_size... | 7 | 2023-01-21T15:16:49Z | ---
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/Breitbart_model_v4 | [
"pytorch",
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"no_repeat_ngram_size... | 3 | 2023-01-21T15:22:49Z | ---
license: unknown
pipeline_tag: text-to-image
--- | [
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Declan/Breitbart_model_v6 | [
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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/Breitbart_model_v8 | [
"pytorch",
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"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 3 | 2023-01-21T15:32:27Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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Declan/CNN_model_v1 | [
"pytorch",
"bert",
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"no_repeat_ngram_size... | 7 | 2023-01-21T15:36:13Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- pytorch
- diffusers
- dreambooth-hackathon
- food
widget:
- text: a butterfly ice cream, icenimal
---
# Ice_cream_animals Dreambooth Model for Food trained on a custom dataset.
This is a Stable Diffusion **2.1 768px** model fine-tuned on th... | [
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Declan/CNN_model_v3 | [
"pytorch",
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"no_repeat_ngram_size... | 3 | 2023-01-21T15:37:37Z | ---
license: mit
tags:
- object-detection
- computer-vision
- sort
- tracker
- ocsort
---
### Model Description
[Sort](https://arxiv.org/abs/1602.00763): A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences<img src="https://raw.githubusercontent.com/noahcao/OC_SO... | [
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Declan/CNN_model_v8 | [
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"no_repeat_ngram_size... | 3 | null | ---
datasets:
- pile-of-law/pile-of-law
metrics:
- accuracy
- abdusah/aradiawer
pipeline_tag: document-question-answering
tags:
- legal
co2_eq_emissions:
emissions: 0.2345
language:
- en
library_name: diffusers
--- | [
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Declan/FoxNews_model_v2 | [
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"no_repeat_ngram_size... | 3 | 2023-01-21T16:08:15Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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Declan/Reuters_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 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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DeltaHub/lora_t5-base_mrpc | [
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"num_beams... | 3 | null | I have made a re-upload for anything v3
this is a re upload :D
Reupload of the Anything-v3 from Linaqruf.
becuase anythingv3 is down :( | [
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Deniskin/gpt3_medium | [
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"no_repeat_ngram_size... | 52 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1b
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type... | [
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"no_repeat_ngram_size... | 3 | null | Access to model mutableonez/mutable_visionara is restricted and you are not in the authorized list. Visit https://huggingface.co/mutableonez/mutable_visionara to ask for access. | [
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Waynehillsdev/Waynehills_summary_tensorflow | [
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] | text2text-generation | {
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"no_repeat_n... | 5 | null | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
---
### MoistMix V2
Based on SD1.5
A much improved version of my last, quite a different style, but sticking to the same theme as a "do anything" type of model. It LOVES artist prompts and they can change up the whole image dramatic... | [
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bert-base-german-dbmdz-uncased | [
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"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
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"no_repeat_ngram_size... | 68,305 | 2023-01-22T00:35:30Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### test11.11 Dreambooth model trained by ukeeba 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 Colab [fas... | [
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AAli/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2023-01-22T05:19:15Z | Model based on camembert-base, fine tuned on glue, mrpc. Created for test purposed for hf course for training interaction with git. | [
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AIDA-UPM/MSTSb_paraphrase-xlm-r-multilingual-v1 | [
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"xlm-roberta",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers"
] | sentence-similarity | {
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],
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"no_repeat_ngr... | 73 | 2023-01-22T06:21:14Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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AIDynamics/DialoGPT-medium-MentorDealerGuy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 8 | 2023-01-22T06:40:34Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### cv1.2 Dreambooth model trained by ukeeba 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 Colab [fast-Co... | [
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AbyV/test | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ekardatos/distilbert-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
... | [
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AdapterHub/bert-base-uncased-pf-newsqa | [
"bert",
"en",
"dataset:newsqa",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
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"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
... | [
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AdapterHub/roberta-base-pf-copa | [
"roberta",
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"adapter-transformers",
"adapterhub:comsense/copa"
] | null | {
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"num_... | 4 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### animecharacters Dreambooth model trained by anmol-chawla 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 A111... | [
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Ahda/M | [] | null | {
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"num_beams... | 0 | 2023-01-22T20:01:32Z | https://t.me/+a-k8rVfjIVk3NGU1
https://t.me/loraeveryone
这是tg群组,之后会在第一时间更新tg,因为tg可以直接传tg原文件呜呜呜,笑脸站会缓慢更新!
这里是各种画风或者衣物的lora合集,希望各位可以及时来补充!!!
分别为打包全下载与单个角色,由于中文名字的文件无法下载所以是压缩包的形式,下载之后需要各位解压一下里面就有对应的中文名字了。 校 长的联系方式:qq3062945846
只是为了方便中文玩家而搬运整理!!
有目录的截图小伙伴们可以参照!
我们十分尊敬每一位lora的作者!!
感谢你们的付出!!
大家好这里是校长,目前这边准备来整合质量高些的lor... | [
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Aleksandar1932/distilgpt2-rock | [
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: tiny-mlm-snli-from-scratch-target-rotten_tomatoes
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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AnonymousSub/AR_rule_based_bert_quadruplet_epochs_1_shard_1 | [
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"transformers"
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"no_repeat_ngram_size": nul... | 2 | 2023-01-13T14:11:58Z | # OpenAI [Whisper](https://github.com/openai/whisper) Inference Endpoint example
> Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identifi... | [
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AnonymousSub/declutr-model_squad2.0 | [
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"transformers",
"autotrain_compatible"
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"no_re... | 2 | 2023-01-23T09:19:20Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
config: default
split:... | [
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"no_repeat_ngram_size... | 6 | null | Access to model paliwal40/MadhuriD is restricted and you are not in the authorized list. Visit https://huggingface.co/paliwal40/MadhuriD to ask for access. | [
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"no_repeat_ngram_size... | 6 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Stable_Diffusion-trained-on-YUJIRO-HANMA-images(Baki-anime)-Fun-project model trained by nicky007
Trained on YUJIRO HANMA character of Baki-the grappler anime ..its just a fun project coz i was bored..
try Text on the prompt like:
**'y... | [
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"no_re... | 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 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 4 | 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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AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_10 | [
"pytorch",
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"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: fav_foods
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7631579041481018
---
# fav_foods
Autogenerate... | [
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 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 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_wikiqa | [
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"... | 23 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | [
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AnonymousSub/unsup-consert-emanuals | [
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"no_repeat_ngram_size": nul... | 2 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- textual-inversion
- embedding
---
[<img src="https://huggingface.co/proxima/foorby/resolve/main/be_not_afraid.jpeg">](https://huggingface.co/proxima/foorby/blob/main/be_not_afraid.jpeg)
# about
- 2 embeddings to resemble a popular toy fro... | [
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
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- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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type: LunarLander-v2
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AntonClaesson/finetuning_test | [] | null | {
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"num_beams... | 0 | null | ---
license: openrail
---
# Initialize the pipeline with the "text-davinci-002" model
segmenter = pipeline("text-segmentation", model="text-davinci-002", tokenizer='text-davinci-002')
# Segment the text
segmented_text = segmenter("This is a longer text that we want to segment into smaller chunks. Each chunk should cor... | [
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Apisate/Discord-Ai-Bot | [
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---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.7
inference: false
model-index:
- name: uisikdag/yapimakine
results:
- task:
type: object-detection
metrics:
- type: precision # since mAP@0.5 is not available on hf.co/metrics
valu... | [
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ArBert/roberta-base-finetuned-ner | [
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"tensorboard",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | token-classification | {
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],
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"no_... | 3 | null | ---
license: creativeml-openrail-m
---
This repository hosts the TFLite models for the [KerasCV Stable Diffusion model](https://github.com/keras-team/keras-cv/blob/master/keras_cv/models/stable_diffusion). The model can be broken into three parts:
* Text encoder
* Image decoder
* Denoiser
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ArpanZS/debug_squad | [
"pytorch",
"bert",
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"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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"no_repeat_n... | 14 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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Arpita/opus-mt-en-ro-finetuned-synthon-to-reactant | [] | null | {
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library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
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ArseniyBolotin/bert-multi-PAD-ner | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 11 | 2023-01-23T16:08:12Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: buchegger
---
### buchegger Dreambooth model trained by JDihlmann with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Co... | [
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Atchuth/DialoGPT-small-MBOT | [] | null | {
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### dyc0004 Dreambooth model trained by anmol-chawla 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 Colab ... | [
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Augustvember/WokkaBot2 | [] | null | {
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license: mit
tags:
- object-detection
- computer-vision
- sort
- tracker
- ocsort
---
### Model Description
Observation-Centric SORT ([OC-SORT(https://arxiv.org/abs/2203.14360)]) is a pure motion-model-based multi-object tracker. It aims to improve tracking robustness in crowded scenes and when objects a... | [
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Augustvember/WokkaBot4 | [] | null | {
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library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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Augustvember/WokkaBot5 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- autotrain
- token-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Amal98/autotrain-data-final_model
co2_eq_emissions:
emissions: 3.5122512070831804
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 3026786824
- CO2 Emissions (in grams): 3.5... | [
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Augustvember/WokkaBot6 | [] | null | {
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library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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Augustvember/WokkaBot7 | [] | 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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Augustvember/test | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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Augustvember/wokka5 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum
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. -->
# pegasus-samsum
This ... | [
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Augustvember/wokkabottest2 | [
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"no_repeat_ngram_size... | 13 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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Augustvember/your-model-name | [] | null | {
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license: creativeml-openrail-m
tags:
- anime
---
# Ozen Lora
[<img src="https://huggingface.co/Aotsuyu/ozen-Lora/resolve/main/previews/01.png" width="800" height="512">](https://huggingface.co/Aotsuyu/ozen-Lora/resolve/main/previews/01.png)
An Ozen from Made in Abyss LoRA.
I'm a relative newbie at character LoRAs,... | [
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library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
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Aurora/community.afpglobal | [] | null | {
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---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.7
inference: false
model-index:
- name: uisikdag/hardhat
results:
- task:
type: object-detection
metrics:
- type: precision # since mAP@0.5 is not available on hf.co/metrics
value: ... | [
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AvatarXD/DialoGPT-medium-Blitzo | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 14 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-Slippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4
type: FrozenLake-v1-4x4
metrics:
... | [
-0.018259810283780098,
-0.018002420663833618,
-0.0014127152971923351,
0.030343420803546906,
0.050526127219200134,
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0.055429525673389435,
0.0021726901177316904,
-0.00531699787825346,
0.02517160028219223,
... |
Axon/resnet18-v1 | [
"dataset:ImageNet",
"arxiv:1512.03385",
"Axon",
"Elixir",
"license:apache-2.0"
] | null | {
"architectures": null,
"model_type": null,
"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_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
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. -->... | [
-0.01917167752981186,
-0.013520851731300354,
-0.021733734756708145,
0.04302205145359039,
0.04879336431622505,
0.028310740366578102,
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0.011854912154376507,
-0.023803584277629852,
0.03689081221818924,
0.03572358936071396,
-0.004777029622346163,
0.02770117297768593,
0.039... |
Axon/resnet50-v1 | [
"dataset:ImageNet",
"arxiv:1512.03385",
"Axon",
"Elixir",
"license:apache-2.0"
] | 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: gpl-3.0
---
Pre-trained word embeddings using the text of published clinical case reports. These embeddings use 100 dimensions and were trained using the word2vec algorithm on published clinical case reports found in the [PMC Open Access Subset](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). See the... | [
-0.022396210581064224,
-0.016877053305506706,
-0.005526504013687372,
0.04441625997424126,
0.031314488500356674,
0.040976785123348236,
0.0038322131149470806,
-0.021230274811387062,
-0.020980151370167732,
0.04538772255182266,
0.025851575657725334,
0.027141205966472626,
0.0018705212278291583,
... |
Ayato/DialoGTP-large-Yuri | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-23T19:52:04Z | ---
license: openrail
library_name: diffusers
---
# Yaoi diffusion @768:
Stable diffusion model of yiffy-e18@0.5 and NAI@0.5 finetuned on 45000+ images of yaoi/bara/shota/furry and real life males, tagged with blip, deepdanbooru (used both e621 and wd14-vit) @768:
Current version:
YaoiDiffusionV1.ckpt
more details... | [
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-0.0150525514036417,
0.019635695964097977,
0.03328319638967514,
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0.04212488979101181,
0.012048172764480114,
0.007959752343595028,
0.04866804927587509,
0.04... |
Aybars/ModelOnTquad | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"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_n... | 8 | null | ---
license: apache-2.0
"portrait of Emma Watson as Hermione Granger sitting next to a window reading a book, focused expression, face focus, golden hour, art by Kenne Gregoire and Krenz Cushart, trending on artstation"
"decorated modern country house interior, trending on artstation, hdr, 8 k, light reflections"
"isla... | [
0.003208422800526023,
-0.03763100132346153,
0.0007580898818559945,
0.0389980785548687,
0.04652060195803642,
0.028258437290787697,
-0.007812787778675556,
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0.054263561964035034,
0.04651520773768425,
-0.003193126292899251,
0.02829037420451641,
0.038... |
Aybars/ModelOnWhole | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | 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... | 4 | null | ---
license: openrail
tags:
- nsfw
- stable diffusion
---
# PoV Skin Textures - Dreamlike r34
[pov-skin-texture-dreamlike-r34](https://civitai.com/models/4481/pov-skin-texture-dreamlike-r34)
This version has vae-ft-mse-840000-ema-pruned.ckpt baked in.
Due to using Dreamlike Diffusion 1.0, this model has the followin... | [
-0.017038095742464066,
-0.02437693625688553,
-0.01846502348780632,
0.007036883383989334,
0.033772192895412445,
0.01859458163380623,
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0.009493903256952763,
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0.04294385015964508,
0.031952857971191406,
0.007766020018607378,
-0.014979400672018528,
0.0... |
AyushPJ/ai-club-inductions-21-nlp-ALBERT | [
"pytorch",
"albert",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 8 | null | ---
license: mit
tags:
- Stable Diffusion
- Senko
- Hypernetwork
datasets:
- NeuroSenko/senko_by_rimukoro
---
## Description
This hypernetwork will help you to make your Senko-san be look like she was drawn by Rimukoro. This model was trained using [AbyssOrangeMix_base](https://huggingface.co/WarriorMama777/OrangeMixs... | [
-0.0072878822684288025,
-0.02296549081802368,
0.001958235399797559,
0.026494113728404045,
0.042120032012462616,
0.021477311849594116,
-0.014642631635069847,
-0.023316962644457817,
-0.02923731505870819,
0.06046442687511444,
0.011939154006540775,
0.020746862515807152,
0.03017098642885685,
0.... |
AyushPJ/ai-club-inductions-21-nlp-roBERTa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.045685313642024994,
-0.0160130076110363,
-0.007113129366189241,
0.03657059744000435,
0.04263869300484657,
0.004438573960214853,
-0.013866877183318138,
-0.009777957573533058,
-0.0325796864926815,
0.056169543415308,
0.019622692838311195,
-0.013564234599471092,
0.03581312298774719,
0.00166... |
AyushPJ/test-squad-trained-finetuned-squad | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 8 | null | ---
language: de
license: mit
tags:
- german
- deutsch
---
# Creators
- [Stefan Schweter](https://github.com/stefan-it) ([schweter.ml](https://schweter.ml))
- [Philip May](https://may.la) ([T-Systems onsite](https://www.t-systems-onsite.de/))
- [Philipp Schmid ](https://www.philschmid.de/) ([Hugging Face](https://hugg... | [
-0.0022267813328653574,
-0.013440684415400028,
-0.011414144188165665,
0.042303040623664856,
0.02265263721346855,
0.039335474371910095,
-0.03717169538140297,
0.013829977251589298,
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0.05077085271477699,
0.015067696571350098,
-0.0044186911545693874,
0.007691905368119478,
... |
Azaghast/GPT2-SCP-Descriptions | [
"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... | 5 | null |
---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.7
inference: false
model-index:
- name: uisikdag/msgsulogo
results:
- task:
type: object-detection
metrics:
- type: precision # since mAP@0.5 is not available on hf.co/metrics
value... | [
-0.006051679607480764,
-0.03085595741868019,
0.016863184049725533,
0.030244644731283188,
0.04108487442135811,
-0.003026477759703994,
-0.02497701533138752,
-0.020708072930574417,
-0.028940439224243164,
0.05993196368217468,
0.02377782016992569,
0.005907901097089052,
-0.0050116716884076595,
0... |
Azizun/Geotrend-10-epochs | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"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... | 6 | null | ---
language: de
license: mit
tags:
- german
- deutsch
---
# Creators
- [Stefan Schweter](https://github.com/stefan-it) ([schweter.ml](https://schweter.ml))
- [Philip May](https://may.la) ([T-Systems onsite](https://www.t-systems-onsite.de/))
- [Philipp Schmid ](https://www.philschmid.de/) ([Hugging Face](https://hugg... | [
-0.0022267813328653574,
-0.013440684415400028,
-0.011414144188165665,
0.042303040623664856,
0.02265263721346855,
0.039335474371910095,
-0.03717169538140297,
0.013829977251589298,
-0.03921043872833252,
0.05077085271477699,
0.015067696571350098,
-0.0044186911545693874,
0.007691905368119478,
... |
Azuris/DialoGPT-small-envy | [
"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 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_m... | [
-0.027905989438295364,
-0.018186083063483238,
-0.006032054778188467,
0.04043637961149216,
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0.006805269978940487,
0.0001443775399820879,
-0.009646386839449406,
-0.03636496141552925,
0.05389443412423134,
0.021172959357500076,
-0.0014351826393976808,
-0.006525199394673109,
... |
BAHIJA/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | 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,
... | 36 | null | ---
license: mit
tags:
- Stable Diffusion
- Senko
- Hypernetwork
datasets:
- NeuroSenko/senko_by_rimukoro
---
## Description
This hypernetwork will help you to make your Senko-san be look like she was drawn by Rimukoro. This model was trained using [Anything V3.0](https://huggingface.co/admruul/anything-v3.0/blob/main... | [
-0.007668754551559687,
-0.02289237268269062,
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-0.01939873769879341,
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-0.02590627409517765,
0.06299041211605072,
0.006509104277938604,
0.01166251115500927,
0.03761652857065201,
0.0283... |
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