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 |
|---|---|---|---|---|---|---|---|
DeskDown/MarianMixFT_en-th | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: clickbait_spoiling_model_trial_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cl... | [
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Despin89/test | [] | null | {
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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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Dev-DGT/food-dbert-multiling | [
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... | 17 | 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. -->... | [
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Devmapall/paraphrase-quora | [
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license: apache-2.0
tags:
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datasets:
- mit_restaurant
metrics:
- precision
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- accuracy
model-index:
- name: distilbert-finetuned-mit-restaurant-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mit_restaurant
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DevsIA/Devs_IA | [] | null | {
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"num_beams... | 0 | null | Access to model whoishoa/ppo-LunarLander-v2 is restricted and you are not in the authorized list. Visit https://huggingface.co/whoishoa/ppo-LunarLander-v2 to ask for access. | [
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DheerajPranav/Dialo-GPT-Rick-bot | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
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metrics:
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model-index:
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results:
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name: Text Classification
type: text-classification
dataset:
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Dhruva/Interstellar | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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Digakive/Hsgshs | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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... |
Dilmk2/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 13 | null | ---
license: creativeml-openrail-m
language:
- en
thumbnail:
tags:
- text generation
- conversational
inference: false
---
# Pygmalion 6B
## Model description
Pymalion 6B is a proof-of-concept dialogue model based on EleutherAI's [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B).
**Warning:** This model is **N... | [
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Dimedrolza/DialoGPT-small-cyberpunk | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
tags:
- generated_from_trainer
datasets:
- xnli
metrics:
- accuracy
- f1
model-index:
- name: bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: xnli
type: xnli
config: ar
split: trai... | [
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DingleyMaillotUrgell/homer-bot | [
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"text-generation",
"en",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: clickbait_spoiling_model_trial_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cl... | [
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DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
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"num_beams... | 0 | null | ---
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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Dizoid/Lll | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
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. -->
... | [
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Dkwkk/W | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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Dmitry12/sber | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
widget:
- text: "Scene: Desert\n\nWalter: My name is Walter Hartwell White. I live at 308 Negra Arroyo Lane Albuquerque, New Mexico, 87104. To all law enforcement entities, this is not an admission of guilt. I am speaking to my family now. Skyler you are the love of my life. I hope you know th... | [
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Donghyun/L2_BERT | [] | null | {
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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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Dongjae/mrc2reader | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- roc_auc
model-index:
- name: distilbert-base-uncased-reviews_multilabel_clf_v2
results: []
language:
- en
pipeline_tag: text-classification
---
# distilbert-base-uncased-reviews_multilabel_clf_v2
This model is a fine-tuned version of ... | [
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Dongmin/testmodel | [
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license: bigscience-openrail-m
---
how to use
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import textwrap, time
MAX_NEW_TOKENS = 300
model_name = "acul3/bloomz-3b-Instruction"
model = AutoModelForCausalLM.from_pretrained(
model_name,
device_map='auto',
load_in_8bit= True
)
def gene... | [
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Doogie/Waynehills-KE-T5-doogie | [] | null | {
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"num_beams... | 0 | 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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Waynehillsdev/Waynehills-STT-doogie-server | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"min_length": null,
"no_repeat_ngram_s... | 61 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ks
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
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Waynehillsdev/waynehills_sentimental_kor | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | {
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"ElectraForSequenceClassification"
],
"model_type": "electra",
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"... | 33 | null | ---
license: apache-2.0
---
# Streaming zipformer for sherpa-ncnn
The torchscript model is from
https://huggingface.co/pfluo/k2fsa-zipformer-bilingual-zh-en-t
Different from https://huggingface.co/pfluo/k2fsa-zipformer-chinese-english-mixed, this
model is much smaller and thus it is faster to run.
The training code... | [
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Doohae/p_encoder | [
"pytorch"
] | 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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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"BertForSequenceClassification"
],
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"no_rep... | 44 | null | The RSE-RoBERTa-base-STS is trained with 2 relations including:
1) entailment
2) duplicate_question
The RoBERTa-base model is used as initialization.
It can be used ideally for STS datasets. | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
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"bert",
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"transformers"
] | text-classification | {
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"no_rep... | 33 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### emicius Dreambooth model trained by raw-vitor 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 [fa... | [
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albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 4,785,283 | 2023-02-16T03:48:22Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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0... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 341 | 2023-02-16T03:54:26Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-fr
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.fr
split: validatio... | [
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albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 2,973 | 2023-02-16T03:54:31Z | ---
language:
- en
license:
- mit
library_name: "pytorch"
multilinguality:
- monolingual
pretty_name: perturber
datasets:
- panda
tags:
- counterfactual
- perturb
- fairness
- nlp
- demographic
- diverse
- gender
- non-binary
- race
- age
metrics:
- bleu
---
# The Perturber
The perturber is a seq2seq controlled genera... | [
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albert-xxlarge-v2 | [
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"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
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"license:apache-2.0",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 42,640 | 2023-02-16T03:57:48Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-it
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.it
split: validatio... | [
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bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 11,644 | 2023-02-16T04:00:37Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-en
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.en
split: validatio... | [
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bert-base-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 8,621,271 | 2023-02-16T04:03:18Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-all
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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bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 1,814 | 2023-02-16T04:11:21Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- gjbooth2/autotrain-data-glenn_epa_second_pooled_25
co2_eq_emissions:
emissions: 0.02021601897058404
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3519195196
- CO2... | [
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"de",
"transformers",
"license:mit",
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"no_repeat_ngram_size... | 68,305 | 2023-02-16T04:11:25Z | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: KLUE-BERT-BASE-NER-kluedata
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: klue
type: klue
config: ner... | [
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bert-base-multilingual-uncased | [
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"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
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],
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"task_specific_params": {
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"no_repeat_ngram_size... | 328,585 | 2023-02-16T04:16:31Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/4445/corneos-black-cat-dva-embedding | [
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bert-base-uncased | [
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"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 59,663,489 | 2023-02-16T04:17:28Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/4186/tifa-lockharts-classic-outfit-by-corneo | [
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bert-large-cased-whole-word-masking-finetuned-squad | [
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"jax",
"rust",
"safetensors",
"bert",
"question-answering",
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"dataset:bookcorpus",
"dataset:wikipedia",
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"transformers",
"license:apache-2.0",
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"has_space"
] | question-answering | {
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"no_repeat_n... | 8,214 | 2023-02-16T04:18:24Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/4888/selen-tatsuki-by-justneutral | [
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"no_repeat_ngram_size... | 2,316 | 2023-02-16T04:19:37Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/4661/corneos-aerith-ff7-embedding | [
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"no_repeat_ngram_size... | 388,769 | 2023-02-16T04:20:23Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/5323/chika-fujiwara-ti | [
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"no_repeat_ngram_size... | 76,685 | 2023-02-16T04:21:01Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/5417/yor-forger-innocent-housewife-version-ti-embedding-by-corneo | [
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"no_repeat_ngram_size... | 1,058,496 | 2023-02-16T04:21:48Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/5416/yor-forger-thorn-princess-version-ti-embedding-by-corneo | [
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ctrl | [
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"num_bea... | 17,007 | 2023-02-16T04:22:42Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/5895/hayase-yuuka | [
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distilbert-base-cased | [
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"n... | 574,859 | 2023-02-16T04:23:54Z | ---
license: creativeml-openrail-m
---
https://civitai.com/models/8916/shadowverse-piercye-embed | [
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distilbert-base-german-cased | [
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"no_repea... | 43,667 | 2023-02-16T04:26:27Z | ---
library_name: diffusers
base_model: runwayml/stable-diffusion-v1-5
pipeline_tag: text-to-image
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/hug... | [
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"no_repea... | 8,339,633 | 2023-02-16T04:26:44Z | ---
license: apache-2.0
datasets:
- noahshinn024/ts-code2td
language:
- en
pipeline_tag: translation
--- | [
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AIDA-UPM/MSTSb_paraphrase-multilingual-MiniLM-L12-v2 | [
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"num_beams... | 13 | 2023-02-16T09:07:17Z | The RSE-RoBERTa-large-Transfer is trained with 2 relations including:
1) entailment
2) paraphrase
The RoBERTa-large model is used as initialization.
It can be used ideally for Transfer datasets - (Downstream Tasks).
| [
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AKulk/wav2vec2-base-timit-demo-colab | [] | null | {
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"num_beams... | 0 | 2023-02-16T09:30:39Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- davanstrien/autotrain-data-dataset-mentions-160223
co2_eq_emissions:
emissions: 0.12753465619151655
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3522695252
- CO2 Emis... | [
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Aakansha/hs | [] | null | {
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"num_beams... | 0 | 2023-02-16T10:59:53Z | ---
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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AbdulmalikAdeyemo/wav2vec2-large-xls-r-300m-hausa | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### fine_tuned_50 Dreambooth model trained by sid229 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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AdapterHub/bert-base-uncased-pf-hellaswag | [
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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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AiPorter/DialoGPT-small-Back_to_the_future | [
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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Akashpb13/Kabyle_xlsr | [
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"no_repeat_ngram_s... | 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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Aleksandar/bert-srb-ner-setimes | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
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"no_repeat... | 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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Aleksandar/bert-srb-ner | [
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"no_repeat... | 4 | null | ---
library_name: rl-algo-impls
tags:
- CarRacing-v0
- ppo
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo
results:
- metrics:
- type: mean_reward
value: 777.12 +/- 224.5
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning... | [
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Aleksandar/distilbert-srb-base-cased-oscar | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 4 | 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. -->... | [
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Aleksandar/distilbert-srb-ner-setimes | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
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... | 3 | 2023-02-16T19:46:15Z | ---
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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Aleksandar/distilbert-srb-ner | [
"pytorch",
"distilbert",
"token-classification",
"sr",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"DistilBertForTokenClassification"
],
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... | 9 | null | ---
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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0.005123619921505451,
0.02... |
Aleksandar/electra-srb-ner-setimes-lr | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
---
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Aleksandar/electra-srb-ner | [
"pytorch",
"safetensors",
"electra",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"ElectraForTokenClassification"
],
"model_type": "electra",
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},
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"no_... | 15 | null | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
---
# Parfait Mix
Another sweet anime mix for you and me.
# *(Also contains NSFW!)*
## Examples
<img src="https://huggingface.co/sleepotimer/ParfaitMix/resolve/main/example-1.png" width="768px">
```
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Aleksandar/electra-srb-oscar | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
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],
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"no_repeat_ngra... | 6 | null | ---
language:
- ar
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper_small_arabic_no_diacs_v1
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Comm... | [
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Aleksandar1932/distilgpt2-rock | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 11 | null | ---
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
--- | [
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0... |
Aleksandar1932/gpt2-rock-124439808 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 11 | 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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... |
Aleksandar1932/gpt2-spanish-classics | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
config: default
split: train[:... | [
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Aleksandra/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2023-02-16T20:33:46Z | ---
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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0.02... |
AlekseyKorshuk/comedy-scripts | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 20 | null | ---
license: cc-by-nc-3.0
datasets:
- gsdf/EasyNegative
language:
- en
metrics:
- character
pipeline_tag: text-generation
tags:
- art
--- | [
-0.002320993924513459,
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... |
AlekseyKorshuk/horror-scripts | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 19 | null | ---
license: apache-2.0
---
# Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3.... | [
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AlekseyKulnevich/Pegasus-HeaderGeneration | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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"n... | 8 | null | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- nicoco404/autotrain-data-aita-post-classifier
co2_eq_emissions:
emissions: 13.203921634602377
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3535895495
- CO2 Emiss... | [
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AlekseyKulnevich/Pegasus-QuestionGeneration | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"PegasusForConditionalGeneration"
],
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"n... | 17 | null | ---
license: apache-2.0
---
# Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3.... | [
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0.06... |
Alerosae/SocratesGPT-2 | [
"pytorch",
"gpt2",
"feature-extraction",
"en",
"transformers",
"text-generation"
] | text-generation | {
"architectures": [
"GPT2Model"
],
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},
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"no_repeat_ngram_size": nul... | 7 | 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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-0.009342081844806671,... |
Alessandro/model_name | [] | null | {
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"num_beams... | 0 | null | Experimental 12B instruction and retrieval tuned model based on pythia-12B-deduped
--------------------------------------------------
# Model may create undesirable content, use at your own risk.
Finetuned on a variety of instruction datasets.
See: https://github.com/Rallio67/language-model-agents
# Thanks to LAION... | [
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AlexDemon/Alex | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
---
### Tim Sale on Stable Diffusion
This is the `<cat-toy>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) not... | [
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AlexN/xls-r-300m-pt | [
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"automatic-speech-recognition",
"pt",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"robust-speech-event",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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"Wav2Vec2ForCTC"
],
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"max_length": null,
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"no_repeat_ngram_s... | 15 | null | ---
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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AlexaMerens/Owl | [
"license:cc"
] | null | {
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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
type: PandaReach... | [
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AlexaRyck/KEITH | [] | null | {
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tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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Alexander-Learn/bert-finetuned-ner | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 8 | null | ---
license: odc-by
language:
- en
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model is fine tunned on GPT2 to generate text following the writings of W. E. Burghardt Du Bois
# Model Details
## Model Description
The model is designed ... | [
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AlexeyYazev/my-awesome-model | [] | null | {
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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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Alfia/anekdotes | [] | null | {
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license: bsd-3-clause
language:
- en
metrics:
- accuracy : 99.38
pipeline_tag: token-classification
---
Language indentification system using token-level classification
Transformer based language detection model trained predict the language of the text at segment-level. This helps us in classifying regions
of tex... | [
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AlgoveraAI/dcgan | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 12 | null | ---
license: apache-2.0
datasets:
- allenai/scirepeval
language:
- en
---
# SPECTER 2.0
<!-- Provide a quick summary of what the model is/does. -->
SPECTER 2.0 is the successor to [SPECTER](allenai/specter) and is capable of generating task specific embeddings for scientific tasks when paired with [adapters](https://... | [
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AliPotter24/a | [] | null | {
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"num_beams... | 0 | 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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Alicanke/Wyau | [] | null | {
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tags:
- conversational
---
#Pondweed DialoGPT Model2 | [
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Alireza1044/albert-base-v2-mrpc | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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"no... | 204 | null | ---
tags:
- feature-extraction
pipeline_tag: feature-extraction
---
DRAGON-RoBERTa is a BERT-base sized dense retriever initialized from [RoBERTa](https://huggingface.co/roberta-base) and further trained on the data augmented from MS MARCO corpus, following the approach described in [How to Train Your DRAGON:
Diverse A... | [
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0.04141... |
Alireza1044/albert-base-v2-qqp | [
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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"no... | 37 | null | ---
tags:
- feature-extraction
pipeline_tag: feature-extraction
---
DRAGON-RoBERTa is a BERT-base sized dense retriever initialized from [RoBERTa](https://huggingface.co/roberta-base) and further trained on the data augmented from MS MARCO corpus, following the approach described in [How to Train Your DRAGON:
Diverse A... | [
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Alireza1044/albert-base-v2-rte | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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"AlbertForSequenceClassification"
],
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},
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"no... | 30 | null | ---
language: en
tags:
- financial-sentiment-analysis
- sentiment-analysis
widget:
- text: growth is strong and we have plenty of liquidity
duplicated_from: yiyanghkust/finbert-tone
---
`FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice.... | [
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Alireza1044/albert-base-v2-sst2 | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
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"no... | 52 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
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 c... | [
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Alireza1044/dwight_bert_lm | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 14 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-go_emotions
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. -->
# bert-... | [
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0.05... |
AllwynJ/HarryBoy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | 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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Ann2020/rubert-base-cased-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_textcat_entertainment_expenses_out
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_textcat_entertainment_expenses_out` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.4.3,<3.5.0` |
| **Default Pipeline** | `textcat`... | [
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AnonymousSub/AR_cline | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"RobertaModel"
],
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"no_repeat_ngram_size... | 2 | null | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_textcat_transport_local_out
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_textcat_transport_local_out` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.4.3,<3.5.0` |
| **Default Pipeline** | `textcat` |
| **Compone... | [
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AnonymousSub/hier_triplet_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"BertModel"
],
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"no_repeat_ngram_size": nul... | 8 | 2023-02-17T05:29:40Z | ---
tags:
- BattleZone-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BattleZone-v5
type: BattleZone-v5
metrics:... | [
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AnonymousSub/hier_triplet_epochs_1_shard_10 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"BertModel"
],
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"no_repeat_ngram_size": nul... | 8 | null | ---
tags:
- BankHeist-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BankHeist-v5
type: BankHeist-v5
metrics:
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_squad2.0 | [
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"no_repeat_n... | 3 | 2023-02-17T05:32:25Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_wikiqa | [
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"no_rep... | 33 | null | ---
tags:
- Jamesbond-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Jamesbond-v5
type: Jamesbond-v5
metrics:
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AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1 | [
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tags:
- BeamRider-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BeamRider-v5
type: BeamRider-v5
metrics:
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AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_squad2.0 | [
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"no_repeat_n... | 2 | null | ---
tags:
- Qbert-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Qbert-v5
type: Qbert-v5
metrics:
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AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_wikiqa | [
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"no_rep... | 28 | null | ---
tags:
- PrivateEye-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PrivateEye-v5
type: PrivateEye-v5
metrics:... | [
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AnonymousSub/rule_based_only_classfn_epochs_1_shard_1_wikiqa | [
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"no_rep... | 32 | null | ---
tags:
- WizardOfWor-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: WizardOfWor-v5
type: WizardOfWor-v5
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AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 10 | null | ---
tags:
- Surround-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Surround-v5
type: Surround-v5
metrics:
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AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa_copy | [
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"no_repeat_ngram_size... | 2 | null | ---
tags:
- StarGunner-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: StarGunner-v5
type: StarGunner-v5
metrics:... | [
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AnonymousSub/rule_based_roberta_hier_quadruplet_0.1_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- SpaceInvaders-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvaders-v5
type: SpaceInvaders-v5
... | [
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AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1 | [
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-cartpole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
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AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1_squad2.0 | [
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"no_re... | 2 | null | オホッ❤顔になるやつ
インスタンスオﾞッは♥ohogaoオﾞオゥ♥
1.1~1.4位に強度上げたほうがイﾞイﾞッ♥♥かもしれなイﾞグッ♥
初めてLora作ったので微妙な出来です
多分そのうち作り直す
3月25日追記
Loﾞcoﾞn版ンﾞンﾞッ♥のv3追加しましたァ♥ プロンプト♥に「ohogao」「blush」「open mouth」「rolling eyes」イﾞッ♥れてこねくり回すとオﾞッ♥イイﾞッ♥感じかもしれなイﾞクッ♥ 初めてLocon作ったので微妙な出来です AOM3以外と相性わるめ構図とかの改善点を思いついたのでそのうち作り直す
![39899805585-2302322983.png](https://s3.... | [
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_wikiqa | [
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"... | 24 | 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
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