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 |
|---|---|---|---|---|---|---|---|
Cheatham/xlm-roberta-base-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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"XLMRobertaForSequenceClassification"
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... | 20 | 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
config: plain_text
... | [
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Cheatham/xlm-roberta-large-finetuned-d12 | [
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... | 20 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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Cheatham/xlm-roberta-large-finetuned-d1r01 | [
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"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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... | 21 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
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Cheatham/xlm-roberta-large-finetuned-r01 | [
"pytorch",
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"text-classification",
"transformers"
] | text-classification | {
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... | 23 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: FineTune_Vit5_LR0_00001
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. -->
# FineTune_Vit5_LR0... | [
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CheonggyeMountain-Sherpa/kogpt-trinity-poem | [
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"text-generation",
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] | text-generation | {
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"no_repeat_ngram_size... | 15 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxiv3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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0... |
Chester/traffic-rec | [] | null | {
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"num_beams... | 0 | null | ---
language:
- ur
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_11_0
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: wavlm-common_voice-ur
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
datas... | [
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Chinat/test-classifier | [] | null | {
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"num_beams... | 0 | null | ---
widget:
- text: "Brad Pitt is en Schauspeler. He hett speelt"
example_title: "Brad Pitt"
inference:
parameters:
max_length: 100
no_repeat_ngram_size: 1
--- | [
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Ching/negation_detector | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"no_re... | 9 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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0.007201013155281544,
0.0353... |
Chungu424/DATA | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: summarization
---
The facebook/bart-large-cnn model fine-tuned on a dataset of Khan Academy's Transcripts. Goal is to summarize classroom lecture transcripts into short texts similar to those seen under the "About" section on any Khan Academy video. | [
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Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
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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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Clint/clinton | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ner-bert-multilingual-uncased-geocite
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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Cloudy/DialoGPT-CJ-large | [
"pytorch",
"conversational"
] | conversational | {
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"num_beams... | 1 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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0.0353... |
CoffeeAddict93/gpt1-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 8 | 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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0.0... |
CoffeeAddict93/gpt2-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 12 | null | ---
pipeline_tag: fill-mask
---
## XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
converted checkpoint of XLM-V from fairseq to huggingface
## Fairseq
if original model is needed, please check, model checkpoint:
```
https://dl.fbaipublicfiles.com/fairseq/xlmv/xlmv.base.tar.gz
``... | [
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Connor/DialoGPT-small-rick | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
pipeline_tag: text-generation
tags:
- medical
widget:
- text: Bicalutamide
---
## BioGPT | [
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0.... |
Connorvr/BrightBot-small | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 7 | 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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0.... |
Connorvr/TeachingGen | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
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"no_repeat_ngram_size... | 4 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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ConstellationBoi/Oop | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- TensorRT
- Text2Image
- Stable Diffusion
- Image2Image
- SDA
---
# andite/pastel-mix converted into TensorRT
<a href="https://github.com/chavinlo/sda-node/"><img src="https://i.imgur.com/fQS926g.png"></a>
Model converted from diffusers into TensorRT for accelerated inference up to 4x faster.
For how to... | [
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Contrastive-Tension/BERT-Distil-CT-STSb | [
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"no_repeat_ngra... | 1 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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Contrastive-Tension/BERT-Large-CT-STSb | [
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### JeffStewart3 Dreambooth model trained by BotsOne 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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Coyotl/DialoGPT-test-last-arthurmorgan | [
"conversational"
] | conversational | {
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thumbnail: https://www.google.com/url?sa=i&url=https%3A%2F%2Fkagerouproject.fandom.com%2Fwiki%2FHeadphone_Actor%2FGallery&psig=AOvVaw1qa1_iobTskl2YdPAOw_ni&ust=1675739142503000&source=images&cd=vfe&ved=0CA8QjRxqFwoTCLC-8vf0__wCFQAAAAAdAAAAABAI
tags:
- conversational
license: mit
---
# DialoGPT Trained on the ... | [
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Coyotl/DialoGPT-test2-arthurmorgan | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 7 | null | ---
license: openrail
tags:
- stable-diffusion
- text-to-image
---
# th-diffusion
このモデルは、[SD2-1(768)](https://huggingface.co/stabilityai/stable-diffusion-2-1)からアニメスタイルの画像を学習させたものです。SDからアニメスタイルを自力で作ってみたかっただけです。
学習方法は[WD1-4](https://huggingface.co/hakurei/waifu-diffusion-v1-4)とほとんど同じであり、データセットも学習ステップ数も負けてるので劣化版でしかない... | [
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Craftified/Bob | [] | null | {
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license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: dhanush2
---
### dhanush2 Dreambooth model trained by Prajeevan with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Cola... | [
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Craig/paraphrase-MiniLM-L6-v2 | [
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"no_repeat_ngram_size": nul... | 1,026 | null | ---
license: creativeml-openrail-m
language:
- en
--- | [
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Crasher222/kaggle-comp-test | [
"pytorch",
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"en",
"dataset:Crasher222/autonlp-data-kaggle-test",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | {
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},
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"no_rep... | 29 | null | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
- lora
license: creativeml-openrail-m
inference: false
---
# ChonkyLotus Character LoRA
## Usage
To use this LoRA you have to download the file, as well as drop it into the "\stable-diffusion-webui\models\Lora" folder
To use it in a prompt, please refer to ... | [
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Crisblair/Wkwk | [] | null | {
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tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-copter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metr... | [
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Crives/distilbert-base-uncased-finetuned-emotion | [
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"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
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"DistilBertForSequenceClassification"
],
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},
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... | 31 | null |
---
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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0.02... |
Crumped/imdb-simpleRNN | [
"keras"
] | null | {
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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham16/IPod-clustered
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. -->
# nandysoham16/... | [
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CrypticT1tan/DialoGPT-medium-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/IPod-clustered
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. -->
# ishaankul67/IP... | [
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0... |
Cryptikdw/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/IPod-clustered
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. -->
# nandysoham/IPod... | [
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Crystal/distilbert-base-uncased-finetuned-squad | [] | null | {
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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/IPod-clustered
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. -->
# sachinsahu/IPod... | [
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Cthyllax/DialoGPT-medium-PaladinDanse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 10 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/2008_Sichuan_earthquake-clustered
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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Culmenus/IceBERT-finetuned-ner | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
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},
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"no_... | 5 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/2008_Sichuan_earthquake-clustered
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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Culmenus/XLMR-ENIS-finetuned-ner | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:agpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
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"XLMRobertaForTokenClassification"
],
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},
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... | 6 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Wayback_Machine-clustered
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. -->
# sach... | [
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Culmenus/checkpoint-168500-finetuned-de-to-is_nr2 | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Wayback_Machine-clustered
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. -->
# nand... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 1 | null | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base tem... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Canadian_Armed_Forces-clustered
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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Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_1 | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/IPod-clustered
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. -->
# Deep98/IPod-cluster... | [
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Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_2 | [] | null | {
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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Cardinal__Catholicism_-clustered
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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Culmenus/opus-mt-de-is-finetuned-de-to-is_ancc | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Canadian_Armed_Forces-clustered
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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Culmenus/opus-mt-de-is-finetuned-de-to-is_ekkicc | [] | null | {
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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Human_Development_Index-clustered
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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0.04... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2-finetuned-de-to-is_nr2 | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Heresy-clustered
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. -->
# sachinsahu/He... | [
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0.0... |
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2 | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_size... | 1 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Cardinal__Catholicism_-clustered
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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0... |
CuongLD/wav2vec2-large-xlsr-vietnamese | [
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"jax",
"wav2vec2",
"automatic-speech-recognition",
"vi",
"dataset:common_voice, infore_25h",
"arxiv:2006.11477",
"arxiv:2006.13979",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
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],
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},
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"no_repeat_ngram_s... | 8 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Warsaw_Pact-clustered
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. -->
# sachinsa... | [
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0... |
CurtisASmith/GPT-JRT | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: recklessrecursion/IPod-clustered
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. -->
# reckless... | [
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0.04... |
CurtisBowser/DialoGPT-medium-sora-three | [] | null | {
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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Materialism-clustered
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. -->
# sachinsa... | [
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0.05... |
CurtisBowser/DialoGPT-medium-sora-two | [
"pytorch",
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] | conversational | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Human_Development_Index-clustered
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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0.0489... |
CurtisBowser/DialoGPT-medium-sora | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: recklessrecursion/2008_Sichuan_earthquake-clustered
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 comme... | [
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0.03... |
CurtisBowser/DialoGPT-small-sora | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/2008_Sichuan_earthquake-clustered
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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... |
CyberMuffin/DialoGPT-small-ChandlerBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: recklessrecursion/Wayback_Machine-clustered
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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Cyrell/Cyrell | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Pub-clustered
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. -->
# sachinsahu/Pub-c... | [
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0.02159077487885952,
0.0496... |
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 11 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Heresy-clustered
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. -->
# nandysoham/He... | [
-0.017324531450867653,
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0.0... |
D3vil/DialoGPT-smaall-harrypottery | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Web_browser-clustered
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. -->
# sachinsa... | [
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0.018609290942549706,
0... |
D3xter1922/electra-base-discriminator-finetuned-cola | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"ElectraForSequenceClassification"
],
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},
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"max_length": null,
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"... | 68 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Warsaw_Pact-clustered
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. -->
# nandysoh... | [
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D4RL1NG/yes | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: recklessrecursion/Human_Development_Index-clustered
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 comme... | [
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DCU-NLP/bert-base-irish-cased-v1 | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"generated_from_keras_callback",
"autotrain_compatible"
] | fill-mask | {
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],
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},
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"no_repeat_ngram_size... | 1,244 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: sachinsahu/Paper-clustered
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. -->
# sachinsahu/Pap... | [
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0.04... |
DCU-NLP/electra-base-irish-cased-generator-v1 | [
"pytorch",
"electra",
"fill-mask",
"ga",
"transformers",
"irish",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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},
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"no_repeat_ngra... | 7 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/2008_Sichuan_earthquake-clustered
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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0.... |
DHBaek/xlm-roberta-large-korquad-mask | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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},
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... | 9 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/Materialism-clustered
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. -->
# nandysoh... | [
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0.02277827449142933,
0... |
DJSammy/bert-base-swedish-uncased_BotXO-ai | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 1 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: recklessrecursion/Pub-clustered
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. -->
# recklessr... | [
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... |
alexandrainst/da-emotion-classification-base | [
"pytorch",
"tf",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
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],
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},
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"no_rep... | 837 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/2008_Sichuan_earthquake-clustered
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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0.0... |
alexandrainst/da-hatespeech-detection-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
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],
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},
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"no_rep... | 1,719 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham16/Wayback_Machine-clustered
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. -->
# na... | [
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0... |
alexandrainst/da-sentiment-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"arxiv:1910.09700",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
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],
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},
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"min_length": null,
"no_rep... | 1,432 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: deepiit98/Warsaw_Pact-clustered
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. -->
# deepiit98... | [
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0... |
alexandrainst/da-hatespeech-detection-small | [
"pytorch",
"electra",
"text-classification",
"da",
"transformers",
"license:cc-by-4.0"
] | text-classification | {
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],
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},
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"... | 1,506 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Canadian_Armed_Forces-clustered
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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DaWang/demo | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/Wayback_Machine-clustered
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. -->
# ish... | [
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0... |
Daiki/scibert_scivocab_uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/2008_Sichuan_earthquake-clustered
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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0.02595510333776474... |
DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
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],
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},
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"max_length": null,
"min_length": null,
"no_repeat_n... | 7 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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0.0339040607213974,
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0.01227063313126564,
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Daltcamalea01/Camaleaodalt | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: deepiit98/Web_browser-clustered
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. -->
# deepiit98... | [
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0.0... |
DanBot/TCRsynth | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Heresy-clustered
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. -->
# Sushant45/Here... | [
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0.050... |
Danbi/distilgpt2-finetuned-wikitext2 | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Warsaw_Pact-clustered
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. -->
# Sushant45... | [
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0... |
Dandara/bertimbau-socioambiental | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"min_length": null,
"no_rep... | 27 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Canadian_Armed_Forces-clustered
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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... |
Danih1502/t5-small-finetuned-en-to-de | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: deepiit98/Adult_contemporary_music-clustered
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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0.0... |
Darein/Def | [] | null | {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: mbrl-lib
tags:
- mbrl-Hopper-v2
- deep-reinforcement-learning
- reinforcement-learning
- mbrl-lib
model-index:
- name: OneDTransitionRewardModel w/ SACAgent
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: mbrl-Hopper-v2
type: mb... | [
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... |
DarkWolf/kn-electra-small | [
"pytorch",
"electra",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "electra",
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},
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"no_repeat_ngram_size": ... | 4 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Web_browser-clustered
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. -->
# Sushant45... | [
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0.07148731499910355,
0.029389046132564545,
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0.021039050072431564,
... |
Darkecho789/email-gen | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Human_Development_Index-clustered
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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0.052535008639097214,
0.02499004453420639,
-0.0373857282102108,
0.028742501512169838,
0.04... |
DarkestSky/distilbert-base-uncased-finetuned-ner | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Catalan_language-clustered
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. -->
# Sush... | [
-0.015615323558449745,
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0.013385731726884842,
0.0... |
Darkrider/covidbert_medmarco | [
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:2010.05987",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 35 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Sushant45/Paper-clustered
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. -->
# Sushant45/Paper... | [
-0.006829169113188982,
-0.020489145070314407,
-0.00880476739257574,
0.035798460245132446,
0.03228139877319336,
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0.06616171449422836,
0.03622134029865265,
-0.023323651403188705,
0.0277674850076437,
0.0423... |
Darkrider/covidbert_mednli | [
"transformers"
] | null | {
"architectures": null,
"model_type": null,
"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_beams... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Heresy-clustered
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. -->
# itsGanni... | [
-0.015650015324354172,
-0.013322620652616024,
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0.03601672872900963,
0.04019790142774582,
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0.04965430870652199,
0.029068591073155403,
-0.02502303756773472,
0.021999485790729523,
0.04... |
DarshanDeshpande/marathi-distilbert | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 14 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Warsaw_Pact-clustered
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. -->
# its... | [
-0.011356376111507416,
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-0.014227143488824368,
0.035324689000844955,
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0.05765824019908905,
0.03369078412652016,
-0.026920078322291374,
0.014006746001541615,
... |
Darya/layoutlmv2-finetuned-funsd-test | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham16/Canadian_Armed_Forces-clustered
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. -->... | [
-0.020855451002717018,
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0.01757410168647766,
-0.007325601764023304,
0.027251826599240303,
0.0... |
Daryaflp/roberta-retrained_ru_covid | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 3 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/Wayback_Machine-clustered
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. -->
# Deep98/W... | [
-0.0233804602175951,
-0.018023766577243805,
-0.021178962662816048,
0.035060785710811615,
0.030983449891209602,
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0.06341946125030518,
0.025365523993968964,
-0.019549986347556114,
0.012617595493793488,
0.043... |
DataikuNLP/TinyBERT_General_4L_312D | [
"pytorch",
"jax",
"bert",
"arxiv:1909.10351",
"transformers"
] | null | {
"architectures": null,
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 74 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: FineTune_Vit5_LR0_00001_time3
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. -->
# FineTune_Vi... | [
-0.02484818361699581,
-0.02619270607829094,
0.015821147710084915,
0.0017890777671709657,
0.02424406260251999,
0.0018074901308864355,
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0.05872304365038872,
0.031605370342731476,
-0.012273719534277916,
0.03132886067032814,
0.04... |
DataikuNLP/average_word_embeddings_glove.6B.300d | [
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Materialism-clustered
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. -->
# its... | [
-0.019672613590955734,
-0.01593289151787758,
-0.007998987101018429,
0.0385100282728672,
0.033311907202005386,
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0.009510505944490433,
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0.048193104565143585,
0.028580499812960625,
-0.02031005546450615,
0.024396641179919243,
0.0... |
DataikuNLP/camembert-base | [
"pytorch",
"tf",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_... | 8 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/Canadian_Armed_Forces-clustered
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. -->
... | [
-0.016353733837604523,
-0.00893403124064207,
-0.02634964883327484,
0.04181480035185814,
0.037947751581668854,
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0.0630294531583786,
0.01848992146551609,
-0.005654602777212858,
0.027571789920330048,
0.03... |
DataikuNLP/distiluse-base-multilingual-cased-v1 | [
"pytorch",
"distilbert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": [
"DistilBertModel"
],
"model_type": "distilbert",
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Pub-clustered
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. -->
# itsGanni/Pu... | [
-0.015663087368011475,
-0.009242862462997437,
-0.013019662350416183,
0.04171155020594597,
0.03757498040795326,
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0.007826102897524834,
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0.054202426224946976,
0.017611930146813393,
-0.024109920486807823,
0.02333725430071354,
0.... |
DataikuNLP/paraphrase-MiniLM-L6-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 25 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Web_browser-clustered
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. -->
# its... | [
-0.00996714923530817,
-0.014522852376103401,
-0.01202782616019249,
0.03697244077920914,
0.03030647151172161,
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0.05816226452589035,
0.025313977152109146,
-0.032043829560279846,
0.02059931866824627,
0.04... |
Dave/twomad-model | [] | null | {
"architectures": null,
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Paper-clustered
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. -->
# itsGanni/... | [
-0.014585090801119804,
-0.022746432572603226,
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0.0358617901802063,
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0.0545831136405468,
0.027526989579200745,
-0.027926480397582054,
0.02677748166024685,
0.04009... |
DavidAMcIntosh/DialoGPT-small-rick | [] | null | {
"architectures": null,
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: itsGanni/Adult_contemporary_music-clustered
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 commen... | [
-0.030549809336662292,
-0.016622498631477356,
-0.025027886033058167,
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0.06530621647834778,
0.03632190078496933,
-0.017813093960285187,
0.014507988467812538,
0.04... |
DavidAMcIntosh/small-rick | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wnut_17
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_wnut_model
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut_17
type: wnut_17
config: wn... | [
-0.032609619200229645,
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0.04672931134700775,
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... |
DavidSpaceG/MSGIFSR | [] | null | {
"architectures": null,
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham16/Cardinal__Catholicism_-clustered
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. --... | [
-0.024488285183906555,
-0.014607791788876057,
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0.05713740736246109,
0.01607988215982914,
-0.017220081761479378,
0.018201589584350586,
... |
Davlan/bert-base-multilingual-cased-finetuned-amharic | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 109 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/Cardinal__Catholicism_-clustered
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. -->... | [
-0.0218493714928627,
-0.01483999378979206,
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0.02964889071881771,
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0.018387647345662117,
-0.01564042828977108,
0.018282778561115265,
... |
Davlan/bert-base-multilingual-cased-finetuned-hausa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 151 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/Canadian_Armed_Forces-clustered
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. -->
# De... | [
-0.022863086313009262,
-0.009792999364435673,
-0.03262658044695854,
0.03995111584663391,
0.037646468728780746,
0.01946323551237583,
-0.010370781645178795,
-0.005429581273347139,
-0.042925652116537094,
0.06024983897805214,
0.017667604610323906,
-0.00456031272187829,
0.023732349276542664,
0.... |
Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 27 | null | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
- lora
license: creativeml-openrail-m
inference: false
---
# G Yuusuke Style LoRA
## Usage
To use this LoRA you have to download the file, as well as drop it into the "\stable-diffusion-webui\models\Lora" folder
To use it in a prompt, please refer to the ex... | [
0.006297106388956308,
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Davlan/bert-base-multilingual-cased-finetuned-yoruba | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21 | null | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-extraction-cnndm_4000-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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0.0418132059276104,
0.02024128846824169,
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-0.010427404195070267,
... |
Davlan/byt5-base-eng-yor-mt | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz_1000
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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0.04398213326931,
0.035949043929576874,
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0.030481474474072456,
0.02741510048508644,
-0.01949113793671131,
-0.001095808926038444,
0... |
Davlan/mT5_base_yoruba_adr | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2003.10564",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 5 | null | ---
license: creativeml-openrail-m
base_model: CompVis/stable-diffusion-v1-4
training_prompt: a bird is flapping its wing
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- text-to-video
- tune-a-video
inference: false
---
# Tune-A-Video - birdgif-test
## Model description
- Base mode... | [
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0.013259988278150558,
-0.010807069949805737,
-0.0011406749254092574,... |
Davlan/mt5-small-en-pcm | [
"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... | 9 | null | ---
language:
- "ja"
tags:
- "japanese"
- "wikipedia"
- "cc100"
- "oscar"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
---
# deberta-base-japanese-juman-ud-goeswith
## Model Description
This is a DeBERTa(V2) model pretrained on Japan... | [
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0.010361805558204651,
-0.0161637794226408,
0.010049890726804733,
0.040285... |
Davlan/mt5-small-pcm-en | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ishaankul67/Warsaw_Pact-clustered
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. -->
# ishaank... | [
-0.008346722461283207,
-0.008774076588451862,
-0.016984431073069572,
0.03224864602088928,
0.032094601541757584,
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0.008976366370916367,
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0.06959175318479538,
0.03758525103330612,
-0.024099191650748253,
0.0071021742187440395,
... |
Davlan/xlm-roberta-base-finetuned-chichewa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null |
---
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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0.060713231563568115,
0.005031048320233822,
0.001789658679626882,
0.01009366475045681,
0.... |
Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/Heresy-clustered
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. -->
# Deep98/Heresy-clu... | [
-0.01793370023369789,
-0.01554639171808958,
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0.058414872735738754,
0.030289042741060257,
-0.022080713883042336,
0.011681257747113705,
0.... |
Davlan/xlm-roberta-base-finetuned-luganda | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 11 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Deep98/Warsaw_Pact-clustered
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. -->
# Deep98/Warsa... | [
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0.06806236505508423,
0.03733881935477257,
-0.02515324205160141,
0.0021057946141809225,
0.0456... |
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