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 |
|---|---|---|---|---|---|---|---|
AnonymousSub/SR_specter | [
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"no_repeat_ngram_size": nul... | 5 | 2022-11-23T22:03:23Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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AnonymousSub/T5_pubmedqa_question_generation | [
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"no_repeat_ngram_s... | 6 | null | ---
license: creativeml-openrail-m
---
StableDiffusion model with Dreambooth training based on hard lighting and silhouetting in an anime/illustration artstyle. Trained for 9000 steps using 100 total training images.
Base model - Anything-V3.0
## Usage
Can be used in StableDiffusion, including the extremely popular... | [
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1 | [
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language: en
thumbnail: http://www.huggingtweets.com/josephflaherty/1669242112755/predictions.png
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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license: mit
---
### hockey player on Stable Diffusion via Dreambooth
#### model by martinma
This your the Stable Diffusion model fine-tuned the hockey player concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **a photo of sks hockey**
You can also train your own... | [
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"... | 27 | 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 384 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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"no_re... | 4 | null | ---
license: mit
---
### Harvard beating Yale II on Stable Diffusion via Dreambooth
#### model by derekzheng
This your the Stable Diffusion model fine-tuned the Harvard beating Yale II concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **a photo of sks Harvard beating... | [
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"... | 31 | null | ---
license: mit
tags:
- generated_from_trainer
- nlu
- intent-classification
metrics:
- accuracy
- f1
model-index:
- name: mdeberta-v3-base_amazon-massive_intent
results:
- task:
name: intent-classification
type: intent-classification
dataset:
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"no_re... | 6 | null | Access to model Checo1999/Proyecto_ML is restricted and you are not in the authorized list. Visit https://huggingface.co/Checo1999/Proyecto_ML to ask for access. | [
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"no_repeat_n... | 3 | null | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
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"no_re... | 8 | 2022-11-23T23:14:06Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
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"... | 27 | null | ---
language:
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license: mit
tags:
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datasets:
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language:
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license: mit
tags:
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language:
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license: mit
tags:
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language:
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license: mit
tags:
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datasets:
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"... | 28 | 2022-11-23T23:21:29Z | ---
language:
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license: mit
tags:
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"no_re... | 4 | 2022-11-23T23:23:29Z | ---
language:
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license: mit
tags:
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datasets:
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language:
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license: mit
tags:
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license: mit
---
### manga nov 23 on Stable Diffusion
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license: apache-2.0
tags:
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model-index:
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---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: openrail
---
KerasCV StableDiffusion weights for StableDiffusion v1.5 ported from:
https://huggingface.co/runwayml/stable-diffusion-v1-5
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license: apache-2.0
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# relation-dis... | [
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tags:
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- gary109/AI_Light_Dance
- generated_from_trainer
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metrics:
- wer
model-index:
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---
<!-- This model card has been generated automatically according to the information the Traine... | [
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library_name: stable-baselines3
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license: mit
---
### manga char nov 23 on Stable Diffusion
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Mr-Men-and-Little-Misses Dreambooth model trained by fffiloni with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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tags:
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model-index:
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results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# exp20-M04-both
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license: apache-2.0
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language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/smithsonian_butterflies_subset
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
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Anubhav23/model_name | [] | null | {
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"num_beams... | 0 | 2022-11-24T09:09:04Z | ---
license: cc-by-4.0
---
## Aina Project's Catalan-English machine translation model
## Table of Contents
- [Model Description](#model-description)
- [Intended Uses and Limitations](#intended-use)
- [How to Use](#how-to-use)
- [Training](#training)
- [Training data](#training-data)
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library_name: stable-baselines3
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license: other
tags:
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title: Hotel Reservation Cancellation Predict
emoji: 📉
colorFrom: yellow
colorTo: green
sdk: streamlit
sdk_version: 1.10.0
app_file: app.py
pinned: false
---
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datasets:
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model-index:
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dataset:
name: Relation Mapping
args: relbert/relation_mapping
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Aracatto/Catto | [] | null | {
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datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-average-prompt-c-nce-1-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type:... | [
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Arina/Erine | [] | null | {
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datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-average-prompt-a-triplet-2-child-prototypical
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_ma... | [
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Ayham/xlmroberta_large_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
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"EncoderDecoderModel"
],
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"no_re... | 12 | 2022-11-24T14:01:22Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Jak's Voxel-ish Image Pack for Stable Diffusion
Another fantastic image pack brought to you by 143 training images through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
Include Prompt trigger: "voxel-ish" to acti... | [
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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 | 2022-11-24T14:12:01Z | ---
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of ... | [
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Ayham/xlnet_roberta_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... | 10 | 2022-11-24T14:19:08Z | ---
license: other
---
# Stable Diffusion一键游玩
这里支持AnythingV3，NovelAI 以及 Waifu Diffusion 模型供大家挑选哦哦!
运行过程需要**10分钟**左右，请耐心等待
[点这里跳转Google Colab](https://colab.research.google.com/drive/195NNaRHYbei4mFW7YYtAZzrjN3zJvBf4?usp=sharing) | [
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Ayta/Haha | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- rolosaCBTech/autotrain-data-mt5_xlsum_msamsum
co2_eq_emissions:
emissions: 52.2418341683463
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2231571360
- CO2 Emissions (in grams): 52.... | [
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AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | [
"pytorch",
"electra",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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],
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"no_re... | 12 | null | ---
tags:
- generated_from_trainer
model-index:
- name: testc8-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# testc8-1
This model is a fine-tuned version o... | [
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0.... |
AyushPJ/test-squad-trained-finetuned-squad | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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"DistilBertForQuestionAnswering"
],
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},
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... | 8 | null | ---
license: openrail
---
##MODEL BY ShadoWxShinigamI
Use Token - mdjrny-pntrt illustration style at the beginning of your prompt; If some object doesn't work, provide more context in your prompt [eg:- 'ocean,ship,waves' instead of just 'ship']
Training - 2080 steps, Batch size 4, 512x512, v1-5 Base, 26 images
Examp... | [
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Azaghast/DistilBERT-SCP-Class-Classification | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
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... | 42 | 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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0.0... |
Azaghast/GPT2-SCP-ContainmentProcedures | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | 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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Azaghast/GPT2-SCP-Descriptions | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- Taxi-v3-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3-4x4-no_slippery
type: Taxi-v3-4x4-no_slippery
metrics:
... | [
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0... |
Azaghast/GPT2-SCP-Miscellaneous | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- generated_from_trainer
model-index:
- name: testc8-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# testc8-2
This model is a fine-tuned version o... | [
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Azura/data | [] | null | {
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"num_beams... | 0 | 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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0.03... |
Azuris/DialoGPT-medium-senorita | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"no_repeat_ngram_size... | 14 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.71... | [
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Azuris/DialoGPT-small-envy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
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],
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"no_repeat_ngram_size... | 14 | 2022-11-24T15:49:44Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-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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BE/demo-sentiment2021 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
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- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v5
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
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BJTK2/model_name | [] | null | {
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"num_beams... | 0 | 2022-11-24T15:58:38Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {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 cluste... | [
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0.04092745... |
BOON/electra-xlnet | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-nyanja-test_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. -->
# ... | [
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BSC-LT/roberta-base-biomedical-es | [
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"no_repeat_ngra... | 161 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: convnext-tiny-224_album_vitVMMRdb_make_model_album_pred
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | [
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BSC-LT/roberta-base-bne-capitel-ner | [
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"no_... | 12 | null | This model is a fine-tuned version of google/mt5-small on the GermanQuAD dataset. This is a model for question generation from a text corpus.
The following hyperparameters were used during training:
- learning_rate: 1e-3
- mini_batch_size: 8
- optimizer: Adam
- num_epochs: 4 | [
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BSC-LT/roberta-large-bne-capitel-pos | [
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"no_... | 13 | null | ---
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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BSen/wav2vec2-base-timit-demo-colab | [
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"wav2vec2",
"automatic-speech-recognition",
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] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 4 | null | ---
license: apache-2.0
---
This repo contains the \[emb\]-cross-encoder model -- the cross-encoder model
which scores a query-item pair using dot-product of the contextualized query and item embeddings after jointly encoding the query-item pair.
This model is used in the experiments for our EMNLP 2022 paper titled "... | [
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BatuhanYilmaz/bert-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
widget:
structuredData:
sepal_length:
- - 6.3
- - 6.5
- - 5.6
---
### Linear Regression Model
This Linear Regression model trained on Iris dataset that transformed to a structured array.
Goal is to test this pr -> https://gi... | [
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BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | [
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"en",
"dataset:squad",
"arxiv:1910.01108",
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"no_repea... | 18 | 2022-11-24T18:57:18Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-e-nce-2-parent
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type: r... | [
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BatuhanYilmaz/dummy | [] | null | {
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"num_beams... | 0 | 2022-11-24T19:05:15Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: textClass-finetuned-coba-coba
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
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BatuhanYilmaz/mt5-small-finetuned-amazonbooks-en-es | [] | null | {
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"num_beams... | 0 | 2022-11-24T19:23:00Z | ---
license: other
tags:
- computer_vision
- pose_estimation
---
Downloading via: https://github.com/DeepLabCut/DLClibrary & https://github.com/DeepLabCut/DeepLabCut (note thus, download count on HuggingFace not correct)
Non-commercial use permitted. Copyright authors of Mathis, Biasi et al. WACV
A pre-trained cat D... | [
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Baybars/wav2vec2-xls-r-300m-cv8-turkish | [
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"no_repeat_ngram_s... | 5 | 2022-11-24T19:51:50Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-a-triplet-0-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type... | [
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BeIR/query-gen-msmarco-t5-base-v1 | [
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"text2text-generation",
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"autotrain_compatible"
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"no_repeat_ngram_s... | 1,816 | null | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-a-triplet-1-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type... | [
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BeIR/query-gen-msmarco-t5-large-v1 | [
"pytorch",
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"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_s... | 1,225 | 2022-11-24T19:55:10Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-a-triplet-2-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type... | [
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BeIR/sparta-msmarco-distilbert-base-v1 | [
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"feature-extraction",
"arxiv:2009.13013",
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"no_repeat_ngra... | 106 | null | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-b-triplet-0-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
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BearThreat/distilbert-base-uncased-finetuned-cola | [
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"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
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] | text-classification | {
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... | 30 | 2022-11-24T19:58:24Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-b-triplet-1-child
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type... | [
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Bee-Garbs/DialoGPT-real-cartman-small | [
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] | conversational | {
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"no_repeat_ngram_size... | 10 | null | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-c-triplet-0-child
results:
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Beelow/wav2vec2-ukrainian-model-large | [] | null | {
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datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
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results:
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Belin/T5-Terms-and-Conditions | [] | null | {
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datasets:
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model-index:
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results:
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Bella4322/Sarah | [] | null | {
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"num_beams... | 0 | 2022-11-24T20:08:36Z | ---
datasets:
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model-index:
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datasets:
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BenWitter/DialoGPT-small-Tyrion | [
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"no_repeat_ngram_size... | 11 | 2022-11-24T20:13:54Z | ---
language: en
thumbnail: http://www.huggingtweets.com/parker_gibbons/1669320881340/predictions.png
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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datasets:
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Beri/legal-qa | [
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"no_re... | 10 | 2022-11-24T20:18:59Z | ---
datasets:
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Berzemu/Coco | [] | null | {
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datasets:
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BhanuSama/gpt2-finetuned-xsum | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: shreya_sentence_truth_predictor2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-colab | [] | null | {
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"num_beams... | 0 | 2022-11-24T20:29:17Z | ---
datasets:
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Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-colab | [] | null | {
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Bhumika/roberta-base-finetuned-sst2 | [
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"... | 85 | 2022-11-24T20:35:57Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-d-triplet-2-parent
results:
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name: Relation Mapping
type: sorting-task
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name: Relation Mapping
args: relbert/relation_mapping
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Bia18/Beatriz | [] | null | {
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"num_beams... | 0 | 2022-11-24T20:37:42Z | ---
datasets:
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model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-e-triplet-0-parent
results:
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Biasface/DDDC2 | [
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"no_repeat_ngram_size... | 10 | 2022-11-24T20:41:06Z | ---
datasets:
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model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-e-triplet-2-parent
results:
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name: Relation Mapping
type: sorting-task
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name: Relation Mapping
args: relbert/relation_mapping
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BigDaddyNe1L/Hhaa | [] | null | {
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"num_beams... | 0 | 2022-11-24T20:49:24Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-tonga-test_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w... | [
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BigSalmon/BertaMyWorda | [
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"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 8 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: music_CLM
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. -->
# music_CLM
This model is a fine-... | [
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BigSalmon/InformalToFormalLincoln19 | [
"pytorch",
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"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 11 | 2022-11-24T21:02:32Z | ---
license: unknown
---
# Cables Retake finetuned style Model
Produced from publicly available pictures in 576x704 format.
Two models available. One trained using kohya_ss train_db script and the other one using diffusers_fine_tuning sctipt.
## Using the model
* common subject prompt tokens: `cables retake artstyl... | [
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BigSalmon/InformalToFormalLincoln20 | [
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"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 8 | null | ---
language:
- hi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Jsun Hi - Jiping
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
datase... | [
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BigSalmon/InformalToFormalLincoln22 | [
"pytorch",
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"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 6 | null | ---
license: other
tags:
- computer_vision
- pose_estimation
---
Non-commercial use permitted. Copyright authors of Mathis, Biasi et al. WACV
Downloading via: https://github.com/DeepLabCut/DLClibrary & https://github.com/DeepLabCut/DeepLabCut (note thus, download count on HuggingFace not correct)
A pre-trained dog D... | [
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BigSalmon/InformalToFormalLincoln23 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 5 | 2022-11-24T21:10:32Z | ---
language:
- en
- zh
- multilingual
tags:
- Image-to-Text
- OCR
- Image-Captioning
- Text-Recognition
datasets:
- priyank-m/text_recognition_en_zh_clean
metrics:
- cer
---
Multilingual OCR (m_OCR) is a VisionEncoderDecoder model based on the concept of TrOCR for English and Chinese document text-recognition.
It use... | [
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BigSalmon/InformalToFormalLincoln24 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | 2022-11-24T21:25:03Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### estelle-sims-style on Stable Diffusion via Dreambooth
#### model by estelleflores
This your the Stable Diffusion model fine-tuned the estelle-sims-style concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`:... | [
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BigSalmon/Lincoln4 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 11 | 2022-11-24T21:39:40Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
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BigSalmon/MrLincoln | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"no_repeat_ngram_size... | 7 | 2022-11-24T21:39:40Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
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BigSalmon/MrLincoln10 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"task_specific_params": {
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},
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"no_repeat_ngram_size... | 5 | 2022-11-24T21:39:41Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
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... |
BigSalmon/MrLincoln11 | [
"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 | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
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BigSalmon/MrLincoln12 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"task_specific_params": {
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},
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"no_repeat_ngram_size... | 9 | 2022-11-24T21:39:47Z | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekko... | [
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... |
BigSalmon/MrLincolnBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
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"min_length": null,
"no_repeat_ngra... | 8 | null | ---
language: zh
datasets: c2m
inference:
parameters:
max_length: 108
num_return_sequences: 1
do_sample: True
widget:
- text: "晋太元中，武陵人捕鱼为业。缘溪行，忘路之远近。忽逢桃花林，夹岸数百步，中无杂树，芳草鲜美，落英缤纷。渔人甚异之，复前行，欲穷其林。林尽水源，便得一山，山有小口，仿佛若有光。便舍船，从口入。初极狭，才通人。复行数十步，豁然开朗。土地平旷，屋舍俨然，有良田、美池、桑竹之属。阡陌交通，鸡犬相闻。其中往来种作，男女衣着，悉如外人。黄发垂髫，并怡然自乐。"
e... | [
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BigSalmon/T5Salmon | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | 2022-11-24T22:47:32Z | ---
datasets:
- relbert/semeval2012_relational_similarity_v6
model-index:
- name: relbert/relbert-roberta-base-semeval2012-v6-mask-prompt-e-triplet-2-child-prototypical
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mappi... | [
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BigSalmon/T5Salmon2 | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 13 | 2022-11-24T23:01:50Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: distilcamembert-cae-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... | [
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0... |
BigSalmon/TS3 | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"min_length": null,
"no_repeat_n... | 7 | 2022-11-24T23:05:39Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-sentiment-model-3000-samples
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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0.024302372708916664,
0.035... |
BigSalmon/prepositions | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: distilcamembert-cae-no-thinking
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 rem... | [
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... |
BigTooth/DialoGPT-Megumin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 16 | 2022-11-24T23:13:44Z | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-thumbnail.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
---
### Ghibli Diffusion
This is the fine-tuned Stable Diffusion model trained on i... | [
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