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 |
|---|---|---|---|---|---|---|---|
AvatarXD/DialoGPT-medium-Blitzo | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | 2023-04-21T14:08:25Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
... | [
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Aviora/news2vec | [] | null | {
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"num_beams... | 0 | 2023-04-21T14:09:18Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: detr-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-model
This model i... | [
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Axcel/DialoGPT-small-rick | [
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"no_repeat_ngram_size... | 14 | 2023-04-21T14:14:13Z | ---
license: openrail
library_name: diffusers
pipeline_tag: text-to-image
--- | [
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Axon/resnet18-v1 | [
"dataset:ImageNet",
"arxiv:1512.03385",
"Axon",
"Elixir",
"license:apache-2.0"
] | null | {
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"num_beams... | 0 | 2023-04-21T14:16:34Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | [
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Aybars/ModelOnTquad | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
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"no_repeat_n... | 8 | 2023-04-21T14:26:09Z | ---
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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Aybars/ModelOnWhole | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"no_repeat_n... | 4 | 2023-04-21T14:30:21Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-commoncrawl
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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Ayham/albert_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_re... | 9 | 2023-04-21T14:37:27Z | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... | [
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Ayham/albert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 6 | 2023-04-21T14:38:09Z | Tevatron reranker
```
examples/reranker/reranker_train.py \
--output_dir reranker_xlmr.bs-32.epoch-1.mmarco \
--model_name_or_path xlm-roberta-large --save_steps 20000 --dataset_name crystina-z/mmarco-train:all --fp16 --per_device_train_batch_size 4 --gradient_accumulation_steps 8 --train_n_passages 8 --learning_r... | [
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0.02637004666030407,
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0.00029217140399850905,
0.0... |
Ayham/albert_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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},
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"max_length": null,
"min_length": null,
"no_re... | 7 | 2023-04-21T14:38:20Z | ---
datasets:
- csebuetnlp/xlsum
language:
- am
- ar
- az
- bn
- my
- zh
- en
- fr
- gu
- ha
- hi
- ig
- id
- ja
- rn
- ko
- ky
- mr
- ne
- om
- ps
- fa
- pcm
- pt
- pa
- ru
- gd
- sr
- si
- so
- es
- sw
- ta
- te
- th
- ti
- tr
- uk
- ur
-... | [
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Ayham/bert_gpt2_summarization_cnndm_new | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | 2023-04-21T14:45:41Z | ---
language: en
license: apache-2.0
library_name: pytorch
tags:
- deep-reinforcement-learning
- reinforcement-learning
- DI-engine
- Walker2d-v3
benchmark_name: OpenAI/Gym/MuJoCo
task_name: Walker2d-v3
pipeline_tag: reinforcement-learning
model-index:
- name: TD3
results:
- task:
type: reinforcement-learning... | [
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Ayham/distilbert_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | 2023-04-21T14:50:00Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### dreambooth-fast-new Dreambooth model trained by mohsin-riad
> Name of the persons and corresponding tokens:
- Tony -> sks tonydad
- Barbara -> sks barbaramom
- Michele -> sks michelemain
- Anthony -> sks anthonybro
- Liza -> sks lizas... | [
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Ayham/ernie_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 13 | 2023-04-21T14:51:30Z | ---
language:
- en
tags:
- openvino
---
# dbmdz/bert-base-cased-finetuned-conll03-english
This is the [dbmdz/bert-base-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-base-cased-finetuned-conll03-english) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
An example of... | [
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Ayham/roberta_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 31 | 2023-04-21T14:55:32Z | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- transformer3/autotrain-data-finance6
co2_eq_emissions:
emissions: 0.03286397835245103
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 51355121739
- CO2 Emissions (in grams): 0.0329
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Ayham/robertagpt2_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 4 | 2023-04-21T15:01:35Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- resumes_t2json
model-index:
- name: flan-t5-base-finetuned-xsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | [
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Ayham/xlnet_gpt_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 11 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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Ayoola/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
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"num_beams... | 0 | null | Access to model pusa88/nelu is restricted and you are not in the authorized list. Visit https://huggingface.co/pusa88/nelu to ask for access. | [
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Ayta/Haha | [] | null | {
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"num_beams... | 0 | 2023-04-21T15:36:59Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- claudio-cyberg0n/autotrain-data-cve-sa-numeriarrotondati
co2_eq_emissions:
emissions: 1.189216119158559
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 51372121776
... | [
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0... |
AyushPJ/ai-club-inductions-21-nlp-distilBERT | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
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},
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"min_length": null,
... | 8 | 2023-04-21T15:52:17Z | ---
license: creativeml-openrail-m
---
C站链接：https://civitai.com/models/47022
暂时不在这写评论了。 | [
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BSC-LT/roberta-base-biomedical-es | [
"pytorch",
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"es",
"arxiv:2109.03570",
"arxiv:2109.07765",
"transformers",
"biomedical",
"spanish",
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] | fill-mask | {
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"no_repeat_ngra... | 161 | 2023-04-21T16:40:46Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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BSC-LT/roberta-base-bne-capitel-ner | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"ner",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_... | 12 | 2023-04-21T16:42:01Z | ---
language:
- en
tags:
- openvino
---
# anirudh21/albert-large-v2-finetuned-sst2
This is the [anirudh21/albert-large-v2-finetuned-sst2](https://huggingface.co/anirudh21/albert-large-v2-finetuned-sst2) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
An example of how to do inference ... | [
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BSC-LT/roberta-large-bne-capitel-ner | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"ner",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_... | 5 | null | ---
language:
- en
tags:
- openvino
---
# Palak/albert-large-v2_squad
This is the [Palak/albert-large-v2_squad](https://huggingface.co/Palak/albert-large-v2_squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
An example of how to do inference on this model:
```python
from optimum.i... | [
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... |
Babysittingyoda/DialoGPT-small-familyguy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | 2023-04-21T17:16:47Z | ## Usage
The model can be used directly (without a language model) as follows:
```python
import soundfile as sf
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import argparse
def parse_transcription(wav_file):
# load pretrained model
processor = Wav2Vec2Processor.from_pretrained("addy88... | [
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0.... |
Banshee/dialoGPT-small-luke | [] | null | {
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"num_beams... | 0 | 2023-04-21T17:41:48Z | <h1 align="center">Welcome to wechat-chatgpt 👋</h1>
<p>
<img alt="Version" src="https://img.shields.io/badge/version-1.0.0-blue.svg?cacheSeconds=2592000" />
<a href="#" target="_blank">
<img alt="License: ISC" src="https://img.shields.io/badge/License-ISC-yellow.svg" />
</a>
<a href="https://twitter.com/fu... | [
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... |
BaptisteDoyen/camembert-base-xnli | [
"pytorch",
"tf",
"camembert",
"text-classification",
"fr",
"dataset:xnli",
"transformers",
"zero-shot-classification",
"xnli",
"nli",
"license:mit",
"has_space"
] | zero-shot-classification | {
"architectures": [
"CamembertForSequenceClassification"
],
"model_type": "camembert",
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"max_length": null
},
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"max_length": null,
"min_length": null,
... | 405,474 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... | [
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... |
Barkavi/totto-t5-base-bert-score-121K | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 51 | null | Access to model kavindu999/BetterEnglishGPT-v1 is restricted and you are not in the authorized list. Visit https://huggingface.co/kavindu999/BetterEnglishGPT-v1 to ask for access. | [
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0.03... |
Barleysack/AERoberta | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
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"no_re... | 7 | 2023-04-21T17:53:26Z | ---
license: apache-2.0
datasets:
- EleutherAI/the_pile
language:
- en
library_name: transformers
--- | [
-0.04768306761980057,
0.0015963034238666296,
0.009223525412380695,
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0.03... |
Barleysack/AERoberta2 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
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},
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"max_length": null,
"min_length": null,
"no_re... | 2 | null | ---
tags:
- CartPole-v1
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
... | [
-0.005270340945571661,
-0.013150873593986034,
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0.054821696132421494,
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0.06805247813463211,
-0.0001974417536985129,
-0.027601683512330055,
-0.007670585997402668,... |
Batsy24/DialoGPT-medium-Twilight_BellaBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-04-21T17:58:19Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-Q12023TEA
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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0.026272352784872055,
0.0484... |
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr | [] | null | {
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"num_beams... | 0 | 2023-04-21T18:25:49Z | # godot_dodo_4x_60k_llama_13b
## Model details
Trained in April 2023.
Godot-Dodo models are instruction-following models finetuned from LLaMA models.
Please refer to the README of the [GitHub repository](https://github.com/minosvasilias/godot-dodo) for detailed information.
### Evaluation datasets
The model was... | [
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0.0259... |
Baybars/wav2vec2-xls-r-1b-turkish | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 13 | 2023-04-21T18:28:23Z | ---
tags:
- autotrain
- translation
language:
- fr
- en
datasets:
- ybanas/autotrain-data-fr-en-translate
co2_eq_emissions:
emissions: 86.90578464498235
---
# French to English Text Translation with Transformers
This code allows you to translate French text into English using the `ybanas/autotrain-fr-en-translate-51... | [
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0.0011491011828184128,
-0.006567087024450302,
-0.003353304462507367,
... |
BeIR/query-gen-msmarco-t5-base-v1 | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 1,816 | 2023-04-21T18:36:32Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: JQED_QA_question_classifer_final
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. -->
# JQ... | [
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0.0... |
Bella4322/Sarah | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: other
language:
- en
- zh
library_name: transformers
---
# 🦙 Llama for Huggingface Transformers
Llama-7B converted from official [Llama-7B](https://github.com/facebookresearch/Llama/blob/main/MODEL_CARD.md) to Huggingface model via [HF's conversion script](https://github.com/huggingface/transformers/blo... | [
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0.021259730681777,
0.02... |
BertChristiaens/EmojiPredictor | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 6 | 2023-04-21T19:11:53Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: pizza_chain_spell_correction
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. -->
# pizza_... | [
-0.03836669772863388,
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0.008506312035024166,
0.021... |
BhanuSama/gpt2-finetuned-xsum | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-04-21T19:21:17Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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0.0... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"no_repeat_ngram_s... | 10 | 2023-04-21T19:26:02Z | # Vocabulary Trimmed [vocabtrimmer/xlm-v-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-de): `vocabtrimmer/xlm-v-base-xnli-de-trimmed-de`
This model is a trimmed version of [vocabtrimmer/xlm-v-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-de) by [`vocabtrimmer`](https://github.co... | [
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0.043... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-colab | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | # `vocabtrimmer/xlm-v-base-xnli-ar`
This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the
[xnli](https://huggingface.co/datasets/xnli) (ar).
Following metrics are computed on the `test` split of
[xnli](https://huggingface.co/datasets/xnli)(ar).
| | eval... | [
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0.... |
Bharathdamu/wav2vec2-model-hindi-stt | [] | null | {
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"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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... |
Bharathdamu/wav2vec2-model-hindibhasha | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2023-04-21T19:30:56Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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0.06665953993797302,
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0.02289409376680851,
0.... |
Bhuvana/t5-base-spellchecker | [
"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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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 93 | 2023-04-21T19:38:37Z | ---
language: en
tags:
- transformer
licence: apache-2.0
---
# Sandbox
Following [this](https://machinelearningmastery.com/building-transformer-models-with-attention-crash-course-build-a-neural-machine-translator-in-12-days/) tutorial to figure out how to implement a transformer
| [
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Bia18/Beatriz | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... | [
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... |
BigSalmon/BertaMyWorda | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 8 | 2023-04-21T19:51:02Z | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... | [
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0.039454687386751175,
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0.001870432635769248,
0.0... |
BigSalmon/GPT2HardArticleEasyArticle | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 7 | null | ---
language:
- pt
---
Esta é a primeira versão de uma inteligência artificial finetunada que fala em português do brasil, ela foi treinada em cima do llama 7b de decapoda, e foi treinada no LLaMA-LoRA Tuner de zetavg utilizando o dataset da cabrita lora
Divirta-se! | [
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... |
BigSalmon/GPTIntro | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-finetuned-context-dataset
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. -->
# t... | [
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0.020656639710068703,
... |
BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram... | 10 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
pipeline_tag: text-to-image
---
<b>Introduction:</b>
CharHelper_Fine_Tuned_V2 has been trained with SD 2.1 as a base at 768x768 resolution as an update to the previous version. It has additional training on anthropomorphism, dinosaurs, reptile... | [
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BigSalmon/GPTNeo350MInformalToFormalLincoln6 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
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"no_repeat_ngram... | 14 | 2023-04-21T20:50:10Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: taebinkim/distilbert-base-uncased-finetuned-cola
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 c... | [
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0.02912900038063526,
0.03197... |
BigSalmon/GPTT | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 9 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tresnet_l.miil_in1k
A TResNet image classification model. Trained on ImageNet-1k by paper authors.
The weights for this model have been remapped and modified from the originals to work with stan... | [
-0.010747227817773819,
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0.048071250319480896,
0.007342580705881119,
-0.004148387815803289,
-0.005773636512458324,... |
BigSalmon/GoodMaskResults | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngra... | 9 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tresnet_l.miil_in1k_448
A TResNet image classification model. Trained on ImageNet-1k by paper authors.
The weights for this model have been remapped and modified from the originals to work with ... | [
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0.048930734395980835,
0.006813520099967718,
-0.004494049586355686,
-0.007534324191510677,... |
BigSalmon/InformalToFormalLincoln14 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tresnet_m.miil_in1k
A TResNet image classification model. Trained on ImageNet-1k by paper authors.
The weights for this model have been remapped and modified from the originals to work with stan... | [
-0.010699656791985035,
-0.032045647501945496,
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0.03393876552581787,
0.03260409086942673,
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0.010293097235262394,
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0.04811515659093857,
0.007840867154300213,
-0.002912239171564579,
-0.005308116786181927,... |
BigSalmon/InformalToFormalLincoln17 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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0.025938546285033226,
0.04621816799044609,
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0.06627905368804932,
0.031641922891139984,
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0.02332358993589878,
0.0... |
BigSalmon/InformalToFormalLincoln20 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k-p
---
# Model card for tresnet_m.miil_in21k_ft_in1k
A TResNet image classification model. Pretrained on ImageNet-21K-P ("ImageNet-21K Pretraining for the Masses", a 11k subset of ImageNet-22k) and fine... | [
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-0.007710521575063467,... |
BigSalmon/InformalToFormalLincoln22 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"length_penalty": null,
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"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k-p
---
# Model card for tresnet_v2_l.miil_in21k_ft_in1k
A TResNet image classification model. Pretrained on ImageNet-21K-P ("ImageNet-21K Pretraining for the Masses", a 11k subset of ImageNet-22k) and f... | [
-0.011144966818392277,
-0.030791711062192917,
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BigSalmon/InformalToFormalLincoln24 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: led-finetuned-meetings
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. -->
# led-finetune... | [
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BigSalmon/InformalToFormalLincoln25 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tresnet_xl.miil_in1k
A TResNet image classification model. Trained on ImageNet-1k by paper authors.
The weights for this model have been remapped and modified from the originals to work with sta... | [
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-0.006227729842066765... |
BigSalmon/InformalToFormalLincolnDistilledGPT2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tresnet_xl.miil_in1k_448
A TResNet image classification model. Trained on ImageNet-1k by paper authors.
The weights for this model have been remapped and modified from the originals to work with... | [
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BigSalmon/Lincoln4 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- classifier
- generated_from_trainer
datasets:
- ag_news
metrics:
- accuracy
model-index:
- name: deep_model_09_clasificador-news-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ag_news
type: ag_news
config: defau... | [
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BigSalmon/MrLincoln12 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... | [
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BigSalmon/MrLincoln125MNeo | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
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"no_repeat_ngram... | 12 | null | ---
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- stable diffusion
--- | [
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BigSalmon/MrLincoln2 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
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BigSalmon/MrLincoln3 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 17 | null | Quantized version of this: https://huggingface.co/ausboss/llama-30b-supercot
GPTQ quantization using https://github.com/0cc4m/GPTQ-for-LLaMa for compatibility with 0cc4m's fork of KoboldAI
Command used to quantize:
```python llama.py c:\llama-30b-supercot c4 --wbits 4 --true-sequential --groupsize 128 --save_safete... | [
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BigSalmon/MrLincoln8 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_a.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/MrLincolnBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 8 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_b.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/NEO125InformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
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"no_repeat_ngram... | 8 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_c.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/Neo | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
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"no_repeat_ngram... | 13 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_d.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/ParaphraseParentheses | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_e.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/ParaphraseParentheses2.0 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 13 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for hardcorenas_f.miil_green_in1k
A HardCoReNAS image classification model. Trained on ImageNet-1k by paper authors with their "green" recipe.
## Model Details
- **Model Type:** Image classification... | [
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BigSalmon/Points | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 13 | null | ## This is a conditional pretrained version of EleutherAI's gpt-neox-20b model.
Conditional pretrained models are trained the same way as normal large language
models, but the training data is prepared in a special way. For conditional pretrained
models every training example is prepended with tags or labels that are ... | [
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BigSalmon/SimplifyText | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 17 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: deberta-v3-large-finetuned-ner
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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BigSalmon/T52 | [
"pytorch",
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"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"T5ForConditionalGeneration"
],
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},
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"no_repeat_ngram_s... | 8 | 2023-04-21T21:43:40Z | # Vocabulary Trimmed [vocabtrimmer/xlm-v-base-xnli-es](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-es): `vocabtrimmer/xlm-v-base-xnli-es-trimmed-es`
This model is a trimmed version of [vocabtrimmer/xlm-v-base-xnli-es](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-es) by [`vocabtrimmer`](https://github.co... | [
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BigSalmon/T5Salmon | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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"no_repeat_ngram_s... | 6 | 2023-04-21T21:51:17Z | ---
title: Forest Fire Detection
emoji: 🔥
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 3.20.0
app_file: app.py
pinned: true
license: mit
language:
- en
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | [
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BigSalmon/T5Salmon2 | [
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"no_repeat_ngram_s... | 13 | 2023-04-21T21:56:14Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn68.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image ... | [
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BigSalmon/TS3 | [
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"no_repeat_n... | 7 | 2023-04-21T21:56:35Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn68b.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image... | [
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BigSalmon/prepositions | [
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"no_repeat_ngra... | 7 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn68b.ra_in1k
A DPN (Dual-Path Net) classification model. Pretrained on ImageNet-1k in `timm` by Ross Wightman using RandAugment `RA` recipe. Related to `B` recipe in [ResNet Strikes Back](https... | [
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BigTooth/DialoGPT-Megumin | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 16 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn92.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image ... | [
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BigTooth/DialoGPT-small-tohru | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 10 | 2023-04-21T21:57:45Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn98.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image ... | [
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BigTooth/Megumin-v0.2 | [
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] | conversational | {
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"no_repeat_ngram_size... | 13 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn107.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image... | [
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BinksSachary/DialoGPT-small-shaxx | [
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"no_repeat_ngram_size... | 12 | null | # Vocabulary Trimmed [vocabtrimmer/xlm-v-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-ar): `vocabtrimmer/xlm-v-base-xnli-ar-trimmed-ar`
This model is a trimmed version of [vocabtrimmer/xlm-v-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-ar) by [`vocabtrimmer`](https://github.co... | [
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Blerrrry/Kkk | [] | null | {
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"num_beams... | 0 | 2023-04-21T22:30:40Z | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_Encapsulated/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Encapsulated (version based on 1.5)
![Showcase](https://huggingface.co/Guizmus/SDArt_Encapsulated/resolve/ma... | [
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BlightZz/DialoGPT-medium-Kurisu | [
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"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 19 | null | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_Encapsulated768/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Encapsulated (version based on 2.1 768px)
![Showcase](https://huggingface.co/Guizmus/SDArt_Encapsulated76... | [
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BobBraico/bert-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: keyword_category_classifier_v6
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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BobBraico/distilbert-base-uncased-finetuned-imdb | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet121.ra_in1k
A DenseNet image classification model. Pretrained on ImageNet-1k in `timm` by Ross Wightman using RandAugment `RA` recipe. Related to `B` recipe in [ResNet Strikes Back](https... | [
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BonjinKim/dst_kor_bert | [
"pytorch",
"jax",
"bert",
"pretraining",
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] | null | {
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"no_repeat_ngram_s... | 5 | 2023-04-21T22:53:48Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet121.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | [
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Boondong/Wandee | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet161.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | [
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BossLee/t5-gec | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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"no_repeat_ngram_s... | 6 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet169.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | [
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Botjallu/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet201.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | [
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Brayan/CNN_Brain_Tumor | [] | null | {
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"num_beams... | 0 | 2023-04-21T23:11:53Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for ese_vovnet19b_dw.ra_in1k
A VoVNet-v2 image classification model. Pretrained on ImageNet-1k in `timm` by Ross Wightman using RandAugment `RA` recipe. Related to `B` recipe in [ResNet Strikes Back]... | [
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BrianTin/MTBERT | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 11 | 2023-04-21T23:14:16Z | ---
tags:
- generated_from_trainer
model-index:
- name: t5-MCQ-question-generator_v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-MCQ-question-generator_... | [
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0.02905661053955555,
0.055545076727867126,
0.0020482258405536413,
0.002858279272913933,
0.... |
Brona/model1 | [] | null | {
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"num_beams... | 0 | null | ---
datasets:
- HuggingFaceM4/vatex
language:
- en
metrics:
- bleu
- meteor
- rouge
pipeline_tag: text-generation
inference: false
tags:
- video-captioning
---
# TimeSformer-GPT2 Video Captioning
Vision Encoder Model: [timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) \
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Brykee/BrykeeBot | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: FrozenLake
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: FrozenLake-v1-4x4-no_slipp... | [
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Bryson575x/riceboi | [] | null | {
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tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for xception41.tf_in1k
An Aligned Xception image classification model. Trained on ImageNet-1k in Tensorflow and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classific... | [
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BumBelDumBel/TRUMP | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 5 | 2023-04-21T23:43:33Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for xception65.ra3_in1k
An Aligned Xception image classification model. Pretrained on ImageNet-1k in `timm` by Ross Wightman using RandAugment `RA3` recipe. Related to `B` recipe in [ResNet Strikes B... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
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"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 31 | null | Access to model BaherElnaggar/autotrain-arabic-sentiment-analysis-51469121981 is restricted and you are not in the authorized list. Visit https://huggingface.co/BaherElnaggar/autotrain-arabic-sentiment-analysis-51469121981 to ask for access. | [
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CLTL/icf-levels-adm | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
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"... | 33 | null | ---
license: cc-by-4.0
datasets:
- yahma/alpaca-cleaned
- EleutherAI/the_pile
language:
- en
pipeline_tag: text-generation
tags:
- alpaca
- peft
- gpt
- lora
- llm
---
# Model Card
We provide a low-rank adapter for an instruction-tuned 6.7B-parameter GPT3-style language model.
Example instruction:
```
Write a list o... | [
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CSZay/bart | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
- precision
model-index:
- name: distilbert-base-uncased_emotion_ft_0416
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
con... | [
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Canyonevo/DialoGPT-medium-KingHenry | [] | null | {
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"num_beams... | 0 | 2023-04-22T04:06:05Z | ---
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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0... |
Capreolus/bert-base-msmarco | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 238 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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Captain272/lstm | [] | null | {
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"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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dccuchile/albert-large-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
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},
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"no_re... | 3 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### kpop-lsa-2500 Dreambooth model trained by Thuong 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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dccuchile/albert-large-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_re... | 1 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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dccuchile/albert-large-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
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"no... | 29 | null | * * *
language:
* en tags:
* causal-lm
* code-generation
* code-completion license:
* cc-by-nc-sa-4.0 datasets:
* ehartford/leet10k-alpaca
* Dampish/MPTE_dante
* * *
STABLEKODA-3B Low Rank Adaption
===============================
Model Description
-----------------
`STABLEKODA-3B` is a 3B parameter ... | [
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... |
dccuchile/albert-tiny-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"AlbertForQuestionAnswering"
],
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},
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"min_length": null,
"no_repe... | 7 | 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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0.027382340282201767,... |
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