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 |
|---|---|---|---|---|---|---|---|
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Declan/FoxNews_model_v3 | [
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"no_repeat_ngram_size... | 7 | null | ---
language: en
thumbnail: https://www.huggingtweets.com/zitterbewegung/1633265493095/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px;... | [
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Declan/FoxNews_model_v4 | [
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"no_repeat_ngram_size... | 7 | null | ---
language: en
thumbnail: https://www.huggingtweets.com/zkarlinn/1612670051245/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
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Declan/FoxNews_model_v8 | [
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language: en
thumbnail: https://www.huggingtweets.com/zrkrlc/1616626091555/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/133254729791417549... | [
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Declan/HuffPost_model_v2 | [
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language: en
thumbnail: https://www.huggingtweets.com/zvisrosen/1607051627200/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
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Declan/NPR_model_v8 | [
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"no_repeat_ngram_size... | 3 | null | ---
pipeline_tag: sentence-similarity
language: fr
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- fr
datasets:
- xnli
- stsb_multi_mt
---
# hugorosen/flaubert_base_uncased-xnli-sts
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs... | [
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: XLM-R-fine-tuned-for-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.en
metrics:
- name: F1
... | [
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Declan/Politico_model_v1 | [
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"no_repeat_ngram_size... | 3 | null | ---
language:
- en
tags:
- summarization
datasets:
- xsum
metrics:
- rouge
widget:
- text: National Commercial Bank (NCB), Saudi Arabia’s largest lender by assets, agreed
to buy rival Samba Financial Group for $15 billion in the biggest banking takeover
this year.NCB will pay 28.45 riyals ($7.58) for each Samba... | [
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Declan/Politico_model_v4 | [
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tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | [
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Declan/Politico_model_v8 | [
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: electra-small-turkish-uncased-discriminator-finetuned_lr-2e-05_epochs-3
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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Declan/Reuters_model_v1 | [
"pytorch",
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"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- generated_from_trainer
datasets:
- tsquad
model-index:
- name: electra-small-turkish-uncased-discriminator-finetuned_lr-2e-05_epochs-6
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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Declan/Reuters_model_v2 | [
"pytorch",
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"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: ft_electra-small-turkish-uncased-discriminator_lr-2e-1_epochs-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 r... | [
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Declan/Reuters_model_v3 | [
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"autotrain_compatible"
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | [
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Declan/Reuters_model_v5 | [
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"autotrain_compatible"
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"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | [
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Declan/Reuters_model_v8 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6
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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Declan/test_model | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-cynthia-tedlium-2500-v2
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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Declan/test_push | [] | null | {
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license: apache-2.0
tags:
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model-index:
- name: wav2vec2-base-cynthia-tedlium-2500
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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DeepBasak/Slack | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-cynthia-tedlium
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. -->
# wav2v... | [
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DeepChem/ChemBERTa-10M-MLM | [
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"min_length": null,
"no_repeat_ngra... | 90 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-cynthia-timit
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. -->
# wav2vec... | [
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-0.0037146704271435738,
... |
DemangeJeremy/4-sentiments-with-flaubert | [
"pytorch",
"flaubert",
"text-classification",
"fr",
"transformers",
"sentiments",
"french",
"flaubert-large"
] | text-classification | {
"architectures": [
"FlaubertForSequenceClassification"
],
"model_type": "flaubert",
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},
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"min_length": null,
... | 226 | null | ---
language: ko
tags:
- bart
license: mit
---
## KoBART-base-v2
With the addition of chatting data, the model is trained to handle the semantics of sequences longer than KoBART.
```python
from transformers import PreTrainedTokenizerFast, BartModel
tokenizer = PreTrainedTokenizerFast.from_pretrained('hyunwoongko/ko... | [
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0.05... |
Deniskin/emailer_medium_300 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 14 | null | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes... | [
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0.0253... |
DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
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"num_beams... | 0 | null | ---
language:
- as
- bn
- gu
- hi
- mr
- ne
- or
- pa
- si
- sa
- bpy
- bh
- gom
- mai
license: apache-2.0
datasets:
- oscar
tags:
- multilingual
- albert
- masked-language-modeling
- sentence-order-prediction
- fill-mask
- xlmindic
- nlp
- indoaryan
- indicnlp
- iso15919
widget:
- text : 'রবীন্দ্রনাথ ঠাকুর এফআরএএস (৭ ... | [
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0.... |
DongHai/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
language: en
license: mit
widget:
- text: "The CubeSat RF design shall either have one RF inhibit and a RF power output no greater than 1.5W at the transmitter antenna's RF input OR the CubeSat shall have a minimum of two independent RF inhibits (CDS 3.3.9) (ISO 5.5.6)."
---
---
# spaceroberta_CR
## Model desc... | [
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0.009355755522847176,
0.0... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 7,091 | 2021-08-26T18:17:12Z | ---
tags:
- conversational
---
# MCU Peter Parker DialoGPT Model | [
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0.012476848438382149,
0.04329327121376991,
-0.029245702549815178,
0.020719412714242935,
0.040... |
bert-base-multilingual-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4,749,504 | 2021-08-13T02:02:37Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-finetuned-sst2-sst2-membership
---
<!-- 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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0.048439279198646545,
0.024494348093867302,
-0.012370841577649117,
0.020019343122839928,
0.... |
bert-base-multilingual-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 328,585 | 2021-08-01T08:23:47Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model_index:
- name: bert-base-uncased-finetuned-sst2
results:
- dataset:
name: glue
type: glue
args: sst2
metric:
name: Accuracy
type: accuracy
value: 0.926605504587156
---
<!-- This... | [
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-0.022538023069500923,
0.029077811166644096,
0... |
bert-base-uncased | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 59,663,489 | 2021-08-11T22:34:30Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-sst2-distilled
---
<!-- 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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0.05374868959188461,
0.02013828046619892,
-0.01768605038523674,
0.007158984430134296,
0.052... |
bert-large-cased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_n... | 8,214 | 2021-08-18T06:27:09Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-sst2-membership-attack
---
<!-- 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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0.014078156091272831,
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0.009763245470821857,
0... |
bert-large-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 388,769 | 2022-01-09T12:56:22Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-ru-finetuned-en-to-ru
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
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0.013897961936891079,
... |
camembert-base | [
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_... | 1,440,898 | 2021-12-11T05:16:43Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
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. -->
# dist... | [
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0.009343775920569897,
0.044... |
t5-base | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"... | translation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6,339,864 | 2021-09-11T18:41:02Z | ---
tags:
- conversational
---
# Doctor DialoGPT Model | [
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0.0424... |
AIDA-UPM/MSTSb_paraphrase-xlm-r-multilingual-v1 | [
"pytorch",
"xlm-roberta",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers"
] | sentence-similarity | {
"architectures": [
"XLMRobertaModel"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngr... | 73 | 2022-02-03T02:20:03Z | ---
language:
- cy
license: apache-2.0
tags:
- automatic-speech-recognition
- cy
- generated_from_trainer
- hf-asr-leaderboard
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Welsh
results:
- task:
n... | [
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0.0112... |
AdapterHub/bert-base-uncased-pf-rte | [
"bert",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:nli/rte"
] | text-classification | {
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"num_bea... | 4 | null | ---
language:
- en
- es
- eu
- multilingual
---
# IXAmBERT base cased
This is a multilingual language pretrained for English, Spanish and Basque. The training corpora is composed by the English, Spanish and Basque Wikipedias, together with Basque crawled news articles from online newspapers. The model has been succes... | [
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0.0... |
AdapterHub/roberta-base-pf-stsb | [
"roberta",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sts/sts-b"
] | text-classification | {
"architectures": null,
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},
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"num_... | 0 | null | ---
tags:
- conversational
---
# FF8 DialoGPT Model | [
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0.0... |
AdapterHub/roberta-base-pf-ud_deprel | [
"roberta",
"en",
"dataset:universal_dependencies",
"arxiv:2104.08247",
"adapter-transformers",
"token-classification",
"adapterhub:deprel/ud_ewt"
] | token-classification | {
"architectures": null,
"model_type": "roberta",
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_... | 2 | null | tokenizer = AutoTokenizer.from_pretrained("jaimin/Gujarati-Model")
model = AutoModel.from_pretrained("jaimin/Gujarati-Model") | [
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Adityanawal/testmodel_1 | [] | null | {
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"num_beams... | 0 | null | ---
language:
- es
datasets:
- squad_es
widget:
- text: "¿Quién era el duque en la batalla de Hastings?"
context: "La dinastía normanda tuvo un gran impacto político, cultural y militar en la Europa medieval e incluso en el Cercano Oriente. Los normandos eran famosos por su espíritu marcial y, finalmente, por su pied... | [
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... |
Advertisement/FischlUWU | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- renet
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-renet
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: renet
... | [
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... |
Aero/Tsubomi-Haruno | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
language:
- dv
license: apache-2.0
---
# BERT base for Dhivehi
Pretrained model on Dhivehi language using masked language modeling (MLM).
## Tokenizer
The *WordPiece* tokenizer uses several components:
* **Normalization**: lowercase and then NFKD unicode normalization.
* **Pretokenization**: splits by whitespa... | [
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0.0... |
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 | ---
language: Chinese
widget:
- text: "五言藏头：春天到来|桃花|"
---
# 输入格式
> 格式|题目|正文
格式为下列之一：
* 五绝
* 五律
* 七绝
* 七律
* 五言排律
* 七言排律
* 五言藏头：藏头字...
* 七言藏头：藏头字...
* 对联
----- removed -----
* 诗经
* 乐府
* 楚辞
* 词牌名 （水调歌头、菩萨蛮...）
* 古诗
若为空则默认五言绝句。
题目为诗歌的主题，可为空。
正文部分可指定起始字符，可为空 | [
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0.... |
AidenGO/KDXF_Bert4MaskedLM | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 5 | null | ---
language:
- tn
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg
tags:
- tn
- fill-mask
- pytorch
- roberta
- masked-lm
license: mit
---
# Takalani Sesame - Tswana 🇿🇦
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/>
## Model description
Takalani Sesame (named after the South ... | [
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0.0... |
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm | [] | null | {
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"num_beams... | 0 | null | ---
language:
- tn
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg
tags:
- tn
- fill-mask
- pytorch
- roberta
- masked-lm
license: mit
---
# Takalani Sesame - Tswana 🇿🇦
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/>
## Model description
Takalani Sesame (named after the South ... | [
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0... |
AimB/mT5-en-kr-aihub-netflix | [] | null | {
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},
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"num_beams... | 0 | null | ---
language:
- xho
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg
tags:
- xho
- fill-mask
- pytorch
- roberta
- masked-lm
license: mit
---
# Takalani Sesame - Xhosa 🇿🇦
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/>
## Model description
Takalani Sesame (named after the South... | [
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0.0447... |
AimB/mT5-en-kr-natural | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 78 | null | ---
language:
- zul
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg
tags:
- zul
- fill-mask
- pytorch
- roberta
- masked-lm
license: mit
---
# Takalani Sesame - Zulu 🇿🇦
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/>
## Model description
Takalani Sesame (named after the South ... | [
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0.0... |
Aklily/Lilys | [] | null | {
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},
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"num_beams... | 0 | null | This checkpoint is a wav2vec2-large model that is useful for generating transcriptions with punctuation. It is intended for use in building transcriptions for TTS models, where punctuation is very important for prosody.
This model was created by fine-tuning the `facebook/wav2vec2-large-robust-ft-libri-960h` checkpoint... | [
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0... |
AkshatSurolia/BEiT-FaceMask-Finetuned | [
"pytorch",
"beit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"BeitForImageClassification"
],
"model_type": "beit",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat... | 239 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sentence_similarity_concierge
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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-0.008347843773663044,
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-0.022310307249426842,
0.008311307057738304,
0... |
AkshatSurolia/ConvNeXt-FaceMask-Finetuned | [
"pytorch",
"safetensors",
"convnext",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | image-classification | {
"architectures": [
"ConvNextForImageClassification"
],
"model_type": "convnext",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"n... | 56 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ss_mrpc
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. -->
# ss... | [
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0.0018559676827862859,
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0.037845030426979065,
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0.057522643357515335,
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0.004043668042868376,
0.04... |
AkshatSurolia/DeiT-FaceMask-Finetuned | [
"pytorch",
"deit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"DeiTForImageClassification"
],
"model_type": "deit",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 46 | null | ---
language: tl
tags:
- bert
- tagalog
- filipino
license: gpl-3.0
inference: false
---
**Deprecation Notice**
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tagal... | [
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0.056059829890728,
0.021224910393357277,
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0.007360098883509636,
0.0... |
AkshatSurolia/ICD-10-Code-Prediction | [
"pytorch",
"bert",
"transformers",
"text-classification",
"license:apache-2.0",
"has_space"
] | text-classification | {
"architectures": null,
"model_type": "bert",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 994 | null | ---
language: tl
tags:
- bert
- tagalog
- filipino
license: gpl-3.0
inference: false
---
**Deprecation Notice**
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tag... | [
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0.05622903257608414,
0.02595173381268978,
-0.01963091269135475,
0.010467097163200378,
0... |
AkshatSurolia/ViT-FaceMask-Finetuned | [
"pytorch",
"safetensors",
"vit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"ViTForImageClassification"
],
"model_type": "vit",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 40 | null | ---
language: tl
tags:
- bert
- tagalog
- filipino
license: gpl-3.0
inference: false
---
**Deprecation Notice**
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tagal... | [
-0.011087292805314064,
-0.017977792769670486,
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0.03121074102818966,
0.026535024866461754,
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0.05470972880721092,
0.02226991020143032,
-0.01804003305733204,
0.00905167032033205,
0.0401... |
AkshayDev/BERT_Fine_Tuning | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: tl
tags:
- bert
- tagalog
- filipino
license: gpl-3.0
inference: false
---
**Deprecation Notice**
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tagal... | [
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0.05434144288301468,
0.027660980820655823,
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0.011291391216218472,
0.04... |
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