modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 33 | null | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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DoyyingFace/bert-asian-hate-tweets-asonam-clean | [
"pytorch",
"bert",
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"transformers"
] | text-classification | {
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"no_rep... | 27 | null | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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DoyyingFace/bert-asian-hate-tweets-asonam-unclean | [
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] | text-classification | {
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"no_rep... | 30 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: -25.21 +/- 80.62
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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albert-base-v1 | [
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"no_repeat_ngram_... | 38,156 | 2022-05-11T07:49:27Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this ... | [
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"no_repeat_ngram_... | 4,785,283 | 2022-05-11T07:51:14Z | Fine tuned recobo/agriculture-bert-uncased for custom NER entities. | [
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albert-xlarge-v1 | [
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"no_repeat_ngram_... | 341 | 2022-05-11T08:13:39Z | ---
language: id
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-xls-r-adult-child-id-cls
results: []
---
# Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier
Wav2Vec2 XLS-R Adult/Child Indonesian Speech Cl... | [
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"no_repeat_ngram_... | 2,973 | 2022-05-11T08:16:03Z | ---
language:
- zh
license: apache-2.0
tags:
- bert
- NLU
- Sentiment
inference: true
widget:
- text: "ไปๅคฉๅฟๆ
ไธๅฅฝ"
---
# Erlangshen-MegatronBert-1.3B-Semtiment
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## ็ฎไป Brief... | [
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albert-xxlarge-v2 | [
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"no_repeat_ngram_... | 42,640 | 2022-05-11T08:25:17Z | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | [
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bert-base-cased-finetuned-mrpc | [
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"jax",
"bert",
"fill-mask",
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"no_repeat_ngram_size... | 11,644 | 2022-05-11T08:25:39Z | ---
language: en
inference: false
tags:
- text-generation
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github... | [
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bert-base-cased | [
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"no_repeat_ngram_size... | 8,621,271 | 2022-05-11T08:26:00Z | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | [
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bert-base-chinese | [
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"no_repeat_ngram_size... | 3,377,486 | 2022-05-11T08:26:30Z | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | [
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bert-base-german-cased | [
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"transformers",
"exbert",
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"no_repeat_ngram_size... | 175,983 | 2022-05-11T08:26:52Z | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | [
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bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
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"de",
"transformers",
"license:mit",
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"no_repeat_ngram_size... | 1,814 | 2022-05-11T08:27:07Z | ---
language: en
inference: false
tags:
- opt
- text-generation
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | [
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bert-base-multilingual-cased | [
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"cv",
"hr",
"cs",
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"et",
... | fill-mask | {
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"no_repeat_ngram_size... | 4,749,504 | 2022-05-11T08:35:10Z | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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"no_repeat_ngram_size... | 388,769 | null | Fixed parameters:
* **model_name_or_path**: `Bhumika/roberta-base-finetuned-sst2`
* **dataset**:
* **path**: `glue`
* **name**: `sst2`
* **calibration_split**: `None`
* **eval_split**: `validation`
* **data_keys**: `['sentence']`
* **label_keys**: `['label']`
* **quantization_approach**: `dynami... | [
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202015004/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 2 | 2022-05-11T13:32:16Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# orenpereg/paraphrase-mpnet-base-v2_sst2_4samps
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and ... | [
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0.03... |
850886470/xxy_gpt2_chinese | [] | null | {
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"num_beams... | 0 | 2022-05-11T14:38:36Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-pubmed-earlystopping
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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0... |
AJ/rick-discord-bot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"humor"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
tags:
- pytorch
- token-classification
- sequence-tagger-model
language: de
datasets:
- conll2003
- germeval_14
license: apache-2.0
---
# Model Card for sbb_ner
<!-- Provide a quick summary of what the model is/does. [Optional] -->
A BERT model trained on three German corpora containing contemporary and his... | [
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AdapterHub/bert-base-uncased-pf-comqa | [
"bert",
"en",
"dataset:com_qa",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
"architectures": null,
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"num_bea... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-wiki
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. -->
# distilrober... | [
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0.049... |
AdapterHub/roberta-base-pf-multirc | [
"roberta",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:rc/multirc"
] | text-classification | {
"architectures": null,
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},
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"num_... | 2 | 2022-05-12T16:50:44Z | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model | [
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0.0... |
AdapterHub/roberta-base-pf-race | [
"roberta",
"en",
"dataset:race",
"arxiv:2104.08247",
"adapter-transformers",
"adapterhub:rc/race"
] | null | {
"architectures": null,
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"num_... | 4 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 292.81 +/- 15.85
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0... |
Ahmad/parsT5-base | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_n... | 25 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-jumbling-squad-15
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | [
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Ahmad/parsT5 | [
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"min_length": null,
"no_repeat_n... | 12 | null | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en_zu_ukuxhumana_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 thi... | [
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0.00676634069532156,
0.0596... |
Ahmedahmed/Wewe | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
datasets:
- SPGISpeech
language:
- en
license: mit
tags:
- k2
- icefall
---
# SPGISpeech
SPGISpeech consists of 5,000 hours of recorded company earnings calls and their respective
transcriptions. The original calls were split into slices ranging from 5 to 15 seconds in
length to allow easy training f... | [
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0.01... |
AimB/mT5-en-kr-opus | [] | null | {
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"num_beams... | 0 | null | ---
language: en
license: mit
library_name: timm
tags:
- image-classification
- resnet
datasets: beans
metrics:
- acc
- f1
---
# my-cool-model-with-card
## Model description
This isn't really a model, it's just a test repo to see if the [modelcards](https://github.com/nateraw/modelcards) package works!
## Intended ... | [
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0... |
Aimendo/Triage | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-spider
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. -->
# t5-small-finetuned-spider
Th... | [
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0.0019162839744240046,... |
Ajay191191/autonlp-Test-530014983 | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Ajay191191/autonlp-data-Test",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 34 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "ๆๅ้่ฆๅ[MASK]"
- text: "ไบบ็ฑป็[MASK]ๆธฉๆฏ37ๅบฆ"
tags:
- bert
license: apache-2.0
---
## Chinese DKPLM (Decomposable Knowledge-enhanced Pre-trained Language Model) for the medical domain
For Chinese natural language processing in specific domains, we provide **Chinese DKPL... | [
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0.03... |
Akbarariza/Anjar | [] | null | {
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},
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"num_beams... | 0 | null | ---
language:
- en
tags:
- text2text-generation
- pytorch
license: "gpl-3.0"
datasets:
- samsum
widget:
- text: "Ruben has forgotten what the homework was. Alex tells him to ask the teacher."
example_title: "I forgot my homework"
- text: "Mac is lost at the zoo. Frank says he is at the gorilla exhibit. Charlie is ... | [
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0.... |
AlErysvi/Erys | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: chanifrusydi/bert-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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AlanDev/dall-e-better | [] | null | {
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"num_beams... | 0 | null | # Introduction
See https://github.com/k2-fsa/icefall/pull/330
It has random combiner inside.
| [
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0.04... |
AlbertHSU/BertTEST | [
"pytorch"
] | null | {
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"num_beams... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | [
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0... |
Aleksandar/bert-srb-base-cased-oscar | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 263.94 +/- 19.22
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.... |
Aleksandar/distilbert-srb-ner-setimes | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
... | 3 | null | ---
language: de
license: mit
---
# German BERT large fine-tuned to predict educational requirements
This is a fine-tuned version of the German BERT large language model [deepset/gbert-large](https://huggingface.co/deepset/gbert-large). The multilabel task this model was trained on was to predict education requiremen... | [
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Aleksandar/electra-srb-ner-setimes | [
"pytorch",
"electra",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"ElectraForTokenClassification"
],
"model_type": "electra",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 6 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/sk-kogptv2-kormath-causal
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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Aleksandar/electra-srb-oscar | [
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"transformers",
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] | fill-mask | {
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"no_repeat_ngra... | 6 | 2022-05-13T11:30:59Z | ---
tags:
- generated_from_trainer
model-index:
- name: vi-finetuned-squad-qa-minilmv2-8
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. -->
# vi-finetuned-squad-qa-... | [
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Aleksandra/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | null | Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 7.961395091713594e-05
train_batch_size: 32
eval_batch_size: 32
seed: 27
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
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AlekseyKorshuk/horror-scripts | [
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"no_repeat_ngram_size... | 19 | null | ---
license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
- name: bert-finetuned-ner
results:
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name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... | [
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... | 16 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-cased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_repeat_ngram_s... | 4 | null | ---
language: en
license: mit
---
# Fairseq-dense 2.7B - Nerys
## Model Description
Fairseq-dense 2.7B-Nerys is a finetune created using Fairseq's MoE dense model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novel... | [
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"no_repeat_n... | 7 | null | ---
library_name: stable-baselines3
tags:
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- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 226.04 +/- 113.91
name: mean_reward
task:
type: reinforcement-learning
name:... | [
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Alexandru/creative_copilot | [] | null | {
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license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-initialization-seed-0
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 comm... | [
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library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training Metrics
Model history needed
## Model Plot
<details>
<summary>View Model Plot</summary>
![Model Image](./model.pn... | [
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Alireza1044/albert-base-v2-mnli | [
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license: apache-2.0
tags:
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datasets:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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library_name: stable-baselines3
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library_name: stable-baselines3
tags:
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library_name: stable-baselines3
tags:
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model-index:
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library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 228.88 +/- 19.90
name: mean_reward
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"no_repeat_n... | 1 | 2022-05-14T13:23:53Z | ---
language: en
thumbnail: http://www.huggingtweets.com/dnouri/1652535050986/predictions.png
tags:
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widget:
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---
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license: mit
tags:
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datasets:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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library_name: stable-baselines3
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language: en
license: mit
---
# Fairseq-dense 13B - Nerys
## Model Description
Fairseq-dense 13B-Nerys is a finetune created using Fairseq's MoE dense model.
## Training data
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tags:
- summarization
- persian
- MBart50
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mbart-large-50-finetuned-persian
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/cline-techqa | [
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tags:
- conversational
---
#DialoGPT with sebastian | [
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language:
- en
tags:
- mbart-50
license: apache-2.0
datasets:
- SLURP
metrics:
- accuracy
- slu-f1
---
This model is `mbart-large-50-many-to-many-mmt` model fine-tuned on the text part of [SLURP](https://github.com/pswietojanski/slurp) spoken language understanding dataset.
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AnonymousSub/cline_emanuals | [
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license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
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AnonymousSub/consert-emanuals-s10-SR | [
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library_name: stable-baselines3
tags:
- FrozenLake-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 0.40 +/- 0.49
name: mean_reward
task:
type: reinforcement-learning
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"no_rep... | 31 | null | ---
datasets:
- Matthijs/snacks
model-index:
- name: matteopilotto/vit-base-patch16-224-in21k-snacks
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: Matthijs/snacks
type: Matthijs/snacks
config: default
split: test
metrics:
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AnonymousSub/rule_based_only_classfn_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 4 | null | ---
license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-few-shot-k-32-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/rule_based_only_classfn_epochs_1_shard_10 | [
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license: apache-2.0
tags:
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datasets:
- squad
model-index:
- name: splinter-large-few-shot-k-32-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_repeat_ngram_size": nul... | 10 | 2022-05-14T20:25:43Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-few-shot-k-64-finetuned-squad-seed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1_wikiqa | [
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"no_rep... | 27 | 2022-05-14T20:30:00Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: splinter-large-few-shot-k-64-finetuned-squad-seed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-few-shot-k-256-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: splinter-large-few-shot-k-256-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1 | [
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license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-few-shot-k-1024-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
tags:
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datasets:
- squad
model-index:
- name: splinter-large-few-shot-k-1024-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | [
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0 | [
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tags:
- generated_from_trainer
datasets:
- hindi_english_machine_translation
metrics:
- bleu
model-index:
- name: mbart-large-cc25-ge-en-to-hi
results:
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name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
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license: apache-2.0
tags:
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datasets:
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model-index:
- name: splinter-large-few-shot-k-1024-finetuned-squad-seed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: mit
tags:
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datasets:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
tags:
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datasets:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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AnonymousSub/rule_based_twostage_quadruplet_epochs_1_shard_1 | [
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license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-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... | [
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AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1 | [
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license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | [
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AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa | [
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"no_rep... | 27 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-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... | [
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AnonymousSub/specter-bert-model | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: t5-small-finetuned-xsum
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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AnonymousSub/specter-emanuals-model | [
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license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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AnonymousSub/unsup-consert-base | [
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license: mit
tags:
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datasets:
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model-index:
- name: roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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Anonymreign/savagebeta | [] | null | {
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license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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Anorak/nirvana | [
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"transformers",
"autonlp",
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"n... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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AnthonyNelson/DialoGPT-small-ricksanchez | [
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"no_repeat_ngram_size... | 12 | null | ---
license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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Anthos23/distilbert-base-uncased-finetuned-sst2 | [
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... | 21 | null | ---
license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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gaurishhs/API | [] | null | {
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"num_beams... | 0 | 2022-05-15T04:52:31Z | ---
license: mit
tags:
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datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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ArashEsk95/bert-base-uncased-finetuned-cola | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-recores
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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Aron/distilbert-base-uncased-finetuned-emotion | [
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... | 36 | null | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
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value: -54.39 +/- 20.08
name: mean_reward
task:
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Augustvember/WokkaBot2 | [] | null | {
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"num_beams... | 0 | 2022-05-15T11:59:45Z | ---
library_name: stable-baselines3
tags:
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model-index:
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results:
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"num_beams... | 0 | 2022-05-15T12:00:30Z | ---
library_name: stable-baselines3
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"num_beams... | 0 | 2022-05-30T18:01:51Z | ---
language: da
license: mit
datasets:
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- danews_v1
- hopetwitter_v1
- DDSC/dagw_reddit_filtered_v1.0.0
library_name: jax
pipeline_tag: fill-mask
---
# Model Card
Following [1], the following constitutes a model for this model.
---
*Organization developing the Model*: The Danish Foundation Mod... | [
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Augustvember/wokka | [
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"no_repeat_ngram_size... | 4 | 2022-05-15T13:40:01Z | ---
license: apache-2.0
tags:
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metrics:
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model-index:
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license: apache-2.0
tags:
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model-index:
- name: wav2vec2-arabic-gpu-colab-similar-to-german-bigger-warm-up
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 remo... | [
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Aurora/community.afpglobal | [] | null | {
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"num_beams... | 0 | 2022-05-15T14:21:40Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-finetuned-subj_preTrained_with_noisyData
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | [
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Aviora/news2vec | [] | null | {
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"num_beams... | 0 | 2022-05-15T14:28:21Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 278.51 +/- 23.01
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Aybars/ModelOnWhole | [
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"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"no_repeat_n... | 4 | 2022-05-27T20:47:12Z | ---
language: ar
license: mit
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- text: "ุฃู ุดุฎุต ูุชููู ุนู ุงูุชุนูู
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ููุฉ ุนููู ูุฑุงุกุชูุง ุญุชู ุงูููุงูุฉุ ูุง ุชุชููู ุฃุจุฏุง ุนูุฏ ุณุทุฑ ุญุฒูู ูุฏ ุชููู ุงูููุงูุฉ ุฌู
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---
| [
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Aybars/XLM_Turkish | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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... | 4 | 2022-05-15T15:16:33Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-53-tr-fine-tuning
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 ... | [
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Ayham/albert_bert_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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},
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"no_re... | 12 | 2022-05-15T15:18:15Z | ---
language:
- en
tags:
- NER
- named entity recognition
- RE
- relation extraction
- entity mention detection
- EMD
- coreference resolution
license: apache-2.0
datasets:
- Ontonotes
- CoNLL04
---
# CoReNer
## Demo
We released an online demo so you can easily play with the model. Check it out: [http://corener-demo... | [
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Ayham/albert_gpt2_Full_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
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"no_re... | 9 | 2022-05-15T15:23:27Z | ---
license: apache-2.0
---
A tiny randomly-initialized [ViLT](https://arxiv.org/abs/2102.03334) used for unit tests in the Transformers VQA pipeline | [
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Ayham/albert_gpt2_summarization_xsum | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 7 | 2022-05-15T15:28:32Z | ---
language: en
thumbnail: http://www.huggingtweets.com/dclblogger-loopifyyy/1652628765621/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right:... | [
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Ayham/bert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 4 | 2022-05-15T15:57:14Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 225.63 +/- 80.78
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Ayham/bert_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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"no_re... | 6 | 2022-05-15T16:26:24Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 274.72 +/- 15.58
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Ayham/bertgpt2_cnn | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 4 | null | ---
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
model-index:
- name: t5vi-finetuned-en-to-vi
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: mt_eng_vietnamese
type: mt_eng_vietnamese
args: iwsl... | [
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Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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},
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"no_re... | 5 | null | ---
language: ar
license: mit
widget:
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ูู
ูุญููู ูุชูุงูุง"
- text: "ุฅุฐุง ู
ุง ูุนูุช ุงูุฎูุฑ ุถูุนู ุดุฑูู
[ุดุทุฑ] ููู ุฅูุงุก ุจุงูุฐู ููู ููุถุญ"
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ู
ู ููุจู ุดุจู
[ุดุทุฑ] ูู
ู ุจุฌุณู
ู ูุญุงูู ุนูุฏู ุณูู
"
---
| [
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Ayham/distilbert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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},
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"no_re... | 6 | null | ---
language: es
tags:
- sagemaker
- roberta-bne
- TextClassification
- SentimentAnalysis
license: apache-2.0
datasets:
- IMDbreviews_es
metrics:
- accuracy
model-index:
- name: roberta_bne_sentiment_analysis_es
results:
- task:
name: Sentiment Analysis
type: sentiment-analysis
dataset:
... | [
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Ayham/ernie_gpt2_summarization_cnn_dailymail | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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},
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"no_re... | 13 | null | ---
language: ar
license: mit
widget:
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- text: "ุฃู ุดุฎุต ูุชููู ุนู ุงูุชุนูู
ูู ุนุฌูุฒุ ุณูุงุก ูุงู ูู ุงูุนุดุฑูู ุฃู ุงูุซู
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- text: "ุงูุญูุงุฉ ุฑูุงูุฉ ุฌู
ููุฉ ุนููู ูุฑุงุกุชูุง ุญุชู ุงูููุงูุฉุ ูุง ุชุชููู ุฃุจุฏุง ุนูุฏ ุณุทุฑ ุญุฒูู ูุฏ ุชููู ุงูููุงูุฉ ุฌู
ููุฉ."
---
| [
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