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 |
|---|---|---|---|---|---|---|---|
Davlan/xlm-roberta-base-finetuned-chichewa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"XLMRobertaForMaskedLM"
],
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"no_repe... | 5 | 2023-01-01T15:57:25Z | ---
library_name: stable-baselines3
tags:
- HalfCheetahBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: HalfCheetahBulletEnv-v0
type: ... | [
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Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
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"transformers",
"license:apache-2.0",
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"no_repe... | 5 | null | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: libri-alpha-0.5-Temp-1-processor-change
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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Davlan/xlm-roberta-base-finetuned-hausa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 234 | null | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: no_distil_librispeech_100_clean_6_attention
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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Davlan/xlm-roberta-base-finetuned-igbo | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 68 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-retrained-500k
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. -->
# roberta-retrained-5... | [
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Davlan/xlm-roberta-base-finetuned-swahili | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 40 | 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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Davlan/xlm-roberta-base-finetuned-wolof | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 3 | null | ---
tags:
- Breakout-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Breakout-v5
type: Breakout-v5
metrics:
-... | [
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Davlan/xlm-roberta-base-finetuned-yoruba | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 29 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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Davlan/xlm-roberta-base-finetuned-zulu | [
"pytorch",
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"fill-mask",
"transformers",
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"no_repe... | 3 | 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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0.022760268300771713,... |
Dean/summarsiation | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Breakout-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Breakout-v5
type: Breakout-v5
metrics:
-... | [
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Declan/CNN_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
datasets: akanametov/minions-dataset
widget:
- text: a photo of stuart minion on the Moon
---
# DreamBooth model for the stuart concept trained by akanametov on t... | [
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Declan/FoxNews_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null |
---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.6
inference: false
datasets:
- keremberke/forklift-object-detection
model-index:
- name: keremberke/yolov5m-forklift
results:
- task:
type: object-detection
dataset:
type: keremberke/forkli... | [
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Declan/FoxNews_model_v2 | [
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"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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Declan/HuffPost_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- espnet
- audio
- automatic-speech-recognition
language: en
datasets:
- librispeech_100
license: cc-by-4.0
---
## ESPnet2 ASR model
### `pyf98/librispeech_100_ctc_e_branchformer`
This model was trained by Yifan Peng using librispeech_100 recipe in [espnet](https://github.com/espnet/espnet/).
References:... | [
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0.0... |
Declan/HuffPost_model_v6 | [
"pytorch",
"bert",
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"transformers",
"autotrain_compatible"
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"no_repeat_ngram_size... | 9 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- science
widget:
- text: top rated photo of mafra fractal in the shape of seashells.
---
## Description
This is a Stable Diffusion model fine-tuned on Mandelbrot fractal im... | [
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Declan/Politico_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 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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0.03394... |
DeepChem/ChemBERTa-77M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 2,416 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: qlearning-taxiv3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +... | [
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0... |
DeepESP/gpt2-spanish | [
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"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit",
"has_space"
] | text-generation | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 1,463 | null |
---
language: en
---
<p align="center">
<img src="https://doctr-static.mindee.com/models?id=v0.3.1/Logo_doctr.gif&src=0" width="60%">
</p>
**Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch**
## Task: recognition
https://github.com/mindee/doctr
### Example usag... | [
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0.003392999293282628,
-0.012096129357814789,
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... |
DeepPavlov/distilrubert-tiny-cased-conversational | [
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"transformers"
] | null | {
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"n... | 5,993 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-small-zh-hk
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_... | [
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Denilson/gbert-base-germaner | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Asteroids-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Asteroids-v5
type: Asteroids-v5
metrics:
... | [
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0.0... |
Deniskin/emailer_medium_300 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | null | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: weights_text
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. -->
# weights_text
This m... | [
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Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 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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0.... |
DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | {
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"MarianMTModel"
],
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"no_repeat_ngram_size... | 1 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Jason-Art Dreambooth model trained by Alexwww with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Putting the prompte words: "photograph... | [
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DimaOrekhov/transformer-method-name | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_re... | 8 | 2023-01-02T07:39:22Z | ---
license: cc0-1.0
---
You want more than a digital style - you want to feel brush strokes and see the built-up paint of an oil painting. You love physical objects and want your AI-generated art to fool you that you're looking at a photograph of something analog, hanging on a wall somewhere.
This is the embedding f... | [
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Dongjae/mrc2reader | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
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... | 3 | null | ---
license: openrail
---
## Models
```
yolov4 (single/multiple gpu)
yolov4-csp (single/multiple gpu)
```
## Dataset
Synthetic data consisting of common office and household items
## Training
Using darknet | [
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0.0322... |
albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 38,156 | 2023-01-02T10:54:12Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.... |
albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_... | 4,785,283 | 2023-01-02T10:55:17Z | ---
language: en
license: mit
tags:
- vision
- image-to-text
inference: false
model_name: microsoft/git-base-msrvtt-qa
---
# GIT (GenerativeImage2Text), base-sized, fine-tuned on MSRVTT-QA
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on MSRVTT-QA. It was introduced in the paper [GIT: A G... | [
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0... |
albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
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"no_repeat_ngram_... | 26,792 | 2023-01-02T10:56:26Z | ---
license: apache-2.0
---
## Anime Segmentation Models
models of [https://github.com/SkyTNT/anime-segmentation](https://github.com/SkyTNT/anime-segmentation)
| [
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0.041... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
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"no_repeat_ngram_... | 7,091 | 2023-01-02T11:07:38Z | ---
language: en
license: mit
tags:
- vision
model_name: microsoft/git-large-vqav2
pipeline_tag: visual-question-answering
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on VQAv2
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on VQAv2. It was introduced in the paper [GIT: A Gen... | [
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bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 11,644 | 2023-01-02T11:09:46Z | ---
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum
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. -->
# pegasus-samsum
This ... | [
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bert-base-cased | [
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"bert",
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"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 8,621,271 | 2023-01-02T11:10:56Z | ---
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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bert-base-chinese | [
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"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 3,377,486 | 2023-01-02T11:12:15Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: insertion-prop-05-correct-data
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | [
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bert-base-german-cased | [
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"bert",
"fill-mask",
"de",
"transformers",
"exbert",
"license:mit",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 175,983 | 2023-01-02T11:12:32Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 1,814 | 2023-01-02T11:14:16Z | ---
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: 7.50 +/- 2.72... | [
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"no_repeat_ngram_size... | 68,305 | 2023-01-02T11:18:10Z | ---
language: en
license: mit
tags:
- vision
model_name: microsoft/git-large-textvqa
inference: false
pipeline_tag: visual-question-answering
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on TextVQA
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on TextVQA. It was introduced i... | [
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bert-base-uncased | [
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"no_repeat_ngram_size... | 59,663,489 | 2023-01-02T11:27:10Z | ---
license: openrail
---
text="""Dear Amazon, last week I ordered an Optimus Prime action figure from your online store in Germany. Unfortunately, when I opened the package, I discovered to my horror that I had been sent an action figure of Megatron instead! As a lifelong enemy of the Deceptions, I hope yoou can under... | [
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bert-large-cased-whole-word-masking-finetuned-squad | [
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"no_repeat_n... | 8,214 | 2023-01-02T11:33:19Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: text_classification_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. --... | [
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bert-large-uncased-whole-word-masking | [
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"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
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] | fill-mask | {
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"no_repeat_ngram_size... | 76,685 | 2023-01-02T11:46:41Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: insertion-prop-015-correct-data
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... | [
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camembert-base | [
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"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"CamembertForMaskedLM"
],
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"no_repeat_... | 1,440,898 | 2023-01-02T11:48:08Z | ---
language: en
license: mit
tags:
- vision
inference: false
model_name: microsoft/git-large-vatex
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on VATEX
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on VATEX. It was introduced in the paper [GIT: A Generative Image-to-text T... | [
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distilbert-base-german-cased | [
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"distilbert",
"fill-mask",
"de",
"transformers",
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"no_repea... | 43,667 | 2023-01-02T11:59:29Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: taxi_model
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.7... | [
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gpt2 | [
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"text-generation",
"en",
"doi:10.57967/hf/0039",
"transformers",
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"license:mit",
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] | text-generation | {
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"no_repeat_ngram_size... | 21,488,226 | 2023-01-02T12:18:41Z |
---
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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123www/test_model | [
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] | null | {
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"... | 5 | 2023-01-02T13:47:50Z | ---
language: en
tags:
- exbert
license: mit
---
# ColD Fusion BERT uncased model
Finetuned model that aims to be a great base model. It improves over BERT base model (uncased), trained on 35 datasets.
Full details at [this paper](https://arxiv.org/abs/2212.01378).
## Paper Abstract:
Pretraining has been shown to ... | [
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13on/kw2t-wishes | [
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"no_repeat_n... | 10 | 2023-01-02T13:50:35Z | ---
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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AdapterHub/bert-base-uncased-pf-winogrande | [
"bert",
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"arxiv:2104.08247",
"adapter-transformers",
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] | null | {
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"num_bea... | 1 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-Slippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4
type: FrozenLake-v1-4x4
metrics:
... | [
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AdapterHub/bert-base-uncased-pf-yelp_polarity | [
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"dataset:yelp_polarity",
"arxiv:2104.08247",
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"text-classification"
] | text-classification | {
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"num_bea... | 2 | 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: 7.56 +/- 2.71... | [
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AdapterHub/narrativeqa | [
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] | null | {
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"num_bea... | 23 | null | ---
language: en
tags:
- financial
- stocks
- topic
datasets:
- Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75
widget:
- text: "LexaGene Receives Signed Quote from Large Biopharma Company to Purchase a MiQLab System -- LexaGene Holdings, Inc., (OTCQB: LXXGF; TSX-V: LXG) (“LexaGene” or the “Compa... | [
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AdapterHub/roberta-base-pf-emotion | [
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"arxiv:2104.08247",
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] | text-classification | {
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"num_... | 6 | null | ---
tags:
- FrozenLake-v1-8x8-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-8x8-no_slippery
type: Frozen... | [
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AdapterHub/roberta-base-pf-hotpotqa | [
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"adapter-transformers",
"question-answering"
] | question-answering | {
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"num_... | 35 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AdapterHub/roberta-base-pf-imdb | [
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"en",
"dataset:imdb",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sentiment/imdb"
] | text-classification | {
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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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AdapterHub/roberta-base-pf-mit_movie_trivia | [
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"en",
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"adapter-transformers",
"token-classification",
"adapterhub:ner/mit_movie_trivia"
] | token-classification | {
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Barb2000 Dreambooth model trained by asfdsadsada 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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AdapterHub/roberta-base-pf-record | [
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"en",
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"adapter-transformers",
"text-classification",
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] | text-classification | {
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tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: beto-sentiment-analysis-finetuned
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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AdapterHub/roberta-base-pf-rotten_tomatoes | [
"roberta",
"en",
"dataset:rotten_tomatoes",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sentiment/rotten_tomatoes"
] | text-classification | {
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"num_... | 4 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: ppo
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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AdapterHub/roberta-base-pf-scitail | [
"roberta",
"en",
"dataset:scitail",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:nli/scitail"
] | text-classification | {
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"num_... | 1 | null | ---
language: es
license: gpl-3.0
tags:
- spacy
- token-classification
widget:
- text: "Fue antes de llegar a Sigüeiro, en el Camino de Santiago."
- text: "El proyecto lo financia el Ministerio de Industria y Competitividad."
model-index:
- name: es_spacy_ner_cds
results:
- task:
name: NER
type: token-c... | [
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AdapterHub/roberta-base-pf-sick | [
"roberta",
"en",
"dataset:sick",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:nli/sick"
] | text-classification | {
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"num_... | 21 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 1 utterance per intent and is used for an university project for intent detection. Other usage not tested**
This is a [sente... | [
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AdapterHub/roberta-base-pf-stsb | [
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"en",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:sts/sts-b"
] | text-classification | {
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"num_... | 0 | null | Fusion-in-Decoder (FiD) is a model described in the following paper:
> Izacard, Gautier, and Édouard Grave. [Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering](https://aclanthology.org/2021.eacl-main.74/). _Proceedings of the 16th Conference of the European Chapter of the Associati... | [
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AdapterHub/roberta-base-pf-swag | [
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"num_... | 1 | null | Fusion-in-Decoder (FiD) is a model described in the following paper:
> Izacard, Gautier, and Édouard Grave. [Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering](https://aclanthology.org/2021.eacl-main.74/). _Proceedings of the 16th Conference of the European Chapter of the Associati... | [
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Adarsh123/distilbert-base-uncased-finetuned-ner | [] | null | {
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"num_beams... | 0 | 2023-01-02T21:25:34Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 1 utterance per intent and is used for an university project for intent detection. Other usage not tested**
This is a [sentence-transformer... | [
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0.03397365... |
Adharsh2608/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 5 utterances per intent and is used for an university project for intent detection. Other usage not tested**
This is a [sentence-transforme... | [
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Adinda/Adinda | [
"license:artistic-2.0"
] | null | {
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"num_beams... | 0 | 2023-01-02T21:42:52Z | ---
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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0.0... |
Adityanawal/testmodel_1 | [] | null | {
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"num_beams... | 0 | null | ---
license: openrail
---
pip install transformers
from transformers import Trainer, TrainingArguments
# Load the training and validation data
train_data = ...
validation_data = ...
# Define the model architecture and hyperparameters
model_name = "bert-base-cased"
num_labels = 2
# Define the training arguments
train... | [
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Advertisement/FischlUWU | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- data/copas
metrics:
- wer
model-index:
- name: Whisper Small dysarthric Dutch
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: data/copas copas-full
typ... | [
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Aeroxas/Botroxas-small | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 5 utterances and is used for an university project for intent detection. Other usage not tested**
This is a [sentence-transformers](https:/... | [
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0.03528... |
Ahmadatiya97/Alannah | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
metrics:
- recall
- precision
- f1
model-index:
- name: t5-base-extraction-cnndm_fs0.02-c
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
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... |
Ahmed59/Demo-Team-5-SIAD | [
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
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"... | 14 | null | ---
inference: false
tags:
- onnx
- text-classification
- bert
- adapterhub:qa/boolq
- adapter-transformers
datasets:
- boolq
language:
- en
---
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-boolq` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-boolq](https://huggingface.co/Adapter... | [
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AhmedHassan19/model | [] | null | {
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"num_beams... | 0 | null | ---
inference: false
tags:
- onnx
- text-classification
- roberta
- adapterhub:qa/boolq
- adapter-transformers
datasets:
- boolq
language:
- en
---
# ONNX export of Adapter `AdapterHub/roberta-base-pf-boolq` for roberta-base
## Conversion of [AdapterHub/roberta-base-pf-boolq](https://huggingface.co/AdapterHub/roberta-... | [
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0.04... |
Ahmedahmed/Wewe | [] | null | {
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"num_beams... | 0 | null | ---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-regression
model_file: umit_regress.pkl
widget:
structuredData:
AGE:
- 92.7
- 97.4
- 18.5
B:
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- 392.33
CHAS:
- 0
- 0
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CRIM:
- 0.15086
- 6.39312
- 0.07244
DIS:
- 1.820... | [
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Ahren09/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
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... | 33 | null | ---
license: apache-2.0
---
# Classifier architecture
The classifier uses DenseNet161 as the encoder and some linear layers at classifier base.
# Model accuracy:
Model achieves 91.3% accuracy on the validation set. \
F1-score per class: {'digital': 0.9873773235685747, 'hard': 0.9338602782753218, 'soft': 0.84442774830... | [
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Akari/albert-base-v2-finetuned-squad | [
"pytorch",
"tensorboard",
"albert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
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"no_repe... | 13 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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0.016677360981702805,
0.0182... |
AkshatSurolia/ViT-FaceMask-Finetuned | [
"pytorch",
"safetensors",
"vit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
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"ViTForImageClassification"
],
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"min_length": null,
"no_repeat_n... | 40 | null | ---
license: creativeml-openrail-m
language:
- en
tags:
- text-to-image
- midjourney
- stable-diffusion
- disco-diffusion
- art
- arxiv:2208.12242
inference: true
library_name: diffusers
---
## Paint Journey V2 is [V1](https://huggingface.co/FredZhang7/paint-journey-v1) fine-tuned on 768x768 oil paintings by Midjourney... | [
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AlErysvi/Erys | [] | null | {
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license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: train
... | [
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Aleksandar/distilbert-srb-ner-setimes-lr | [] | null | {
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license: mit
---
## What is it?
Just a mirror of a model from https://github.com/isl-org/MiDaS, to allow downloading with Huggingface Hub tools
## Citation
```bibtex
@ARTICLE {Ranftl2022,
author = "Ren\'{e} Ranftl and Katrin Lasinger and David Hafner and Konrad Schindler and Vladlen Koltun",
title = ... | [
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Aleksandar/distilbert-srb-ner | [
"pytorch",
"distilbert",
"token-classification",
"sr",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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... | 9 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ssaassaaddoo Dreambooth model trained by sasa30 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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0.029... |
Aleksandra/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- text classification
widget:
- text: "Take out the trash."
example_title: "Example 1"
- text: "Cut the tomato."
example_title: "Example 2"
---
# Temporal Action Prediction
Prediction of action effect time from simple sentences.
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AlexaMerens/Owl | [
"license:cc"
] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: T5-asr-corrector
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-asr-corrector
This model is a fine... | [
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Alexander-Learn/bert-finetuned-ner | [
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"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 8 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: fr
datasets:
- lmqg/qag_frquad
pipeline_tag: text2text-generation
tags:
- questions and answers generation
widget:
- text: "Créateur » (Maker), lui aussi au singulier, « le Suprême Berger » (The Great Shepherd) ; de l'autre, ... | [
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... |
Aliraza47/BERT | [] | null | {
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"num_beams... | 0 | 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... |
Amro-Kamal/gpt | [] | null | {
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"num_beams... | 0 | null | ---
language:
- "ain"
tags:
- "ainu"
- "token-classification"
- "pos"
- "dependency-parsing"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "itak=as awa pon rupne aynu ene itaki"
- text: "イタカㇱ アワ ポン ルㇷ゚ネ アイヌ エネ イタキ"
- text: "итакас ава пон рубне айну эне итакі"
---
# deberta-base-ainu-upo... | [
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0.0... |
Amrrs/wav2vec2-large-xlsr-53-tamil | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ta",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index",
"has_space"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
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"min_length": null,
"no_repeat_ngram_s... | 31 | null | ---
language:
- "ain"
tags:
- "ainu"
- "token-classification"
- "pos"
- "dependency-parsing"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "itak=as awa pon rupne aynu ene itaki"
- text: "イタカㇱ アワ ポン ルㇷ゚ネ アイヌ エネ イタキ"
- text: "итакас ава пон рубне айну эне итакі"
---
# deberta-base-ainu-ud-... | [
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0... |
Ana1315/A | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: W4nkel/distilbertBase128KTrain
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# W4nkel/dis... | [
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0.0372... |
Ana1315/ana | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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0.03... |
AndrewMcDowell/wav2vec2-xls-r-300m-japanese | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ja",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 4 | null | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ES_roberta_30_prepro
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. -->
# ES_roberta_30_prepro... | [
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0.... |
Andrey1989/mt5-small-finetuned-mlsum-es | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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0.0... |
Andrey78/my_nlp_test_model | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- conversational
---
# Peter Griffin DialoGPT Model | [
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... |
Andrija/RobertaFastBPE | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Ayaka_DB Dreambooth model trained by Falon 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 [fast-... | [
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0.0... |
Andrija/SRoBERTa-F | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"hr",
"sr",
"multilingual",
"dataset:oscar",
"dataset:srwac",
"dataset:leipzig",
"dataset:cc100",
"dataset:hrwac",
"transformers",
"masked-lm",
"license:apache-2.0",
"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... | 59 | null | # WARNING: NOT ORIGINAL MODEL
This repository and model is not an ORIGINAL one published by the author.
It is just a copy of diffusers for having a link to stable diffusion dreambooth training.
So, thank you for your merge requests, but probably you need to do them to the author repo if it has it.
At the giving t... | [
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Andrija/SRoBERTa-NER | [
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"roberta",
"token-classification",
"hr",
"sr",
"multilingual",
"dataset:hr500k",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"RobertaForTokenClassification"
],
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"no_... | 7 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. ... | [
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Andrija/SRoBERTa | [
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"hr",
"sr",
"multilingual",
"dataset:leipzig",
"transformers",
"masked-lm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 88 | 2023-01-03T10:10:46Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 1 utterance and is used for an university project for intent detection. Other usage not tested**
This is a [sentence-transfo... | [
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Andrija/SRoBERTaFastBPE | [] | null | {
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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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Ani123/Ani | [] | null | {
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pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
**This model was fine tuned with SetFit based on 5 utterances and is used for an university project for intent detection. Other usage not tested**
This is a [sentence-transf... | [
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Ankitha/DialoGPT-small-harrypottery | [] | null | {
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license: unknown
---
https://perchance.org/9898-mtg-card-generator-v3
---
background = {import:background-image-plugin}
commentsPlugin = {import:comments-plugin}
o = [output]
ocn = [output_card_name.selectUnique(1)]
tCT = [thisCardType]
ocm = [output_card_mana]
oct = [output_card_type]
octst = [output_cardtype_su... | [
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Ann2020/distilbert-base-uncased-finetuned-ner | [
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"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
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] | token-classification | {
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... | 4 | null | ---
tags:
- conversational
---
# Peter GriffinV2 DialoGPT Model | [
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Ann2020/model-finetuned-ner | [] | null | {
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tags:
- autotrain
- vision
- image-classification
datasets:
- molsen/autotrain-data-genderage
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
... | [
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Ann2020/rubert-base-cased-finetuned-ner | [] | null | {
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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Ann2020/rubert-base-cased-sentence-finetuned-ner | [] | null | {
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library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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Ann2020/rubert-base-cased-sentence-finetuned-ner_tags | [] | null | {
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license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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Anonymous0230/model_name | [] | null | {
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"num_beams... | 0 | null | ---
language:
- vi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: HuyenNguyen
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... | [
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0.0328020... |
AnonymousSub/AR_EManuals-BERT | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"BertModel"
],
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"no_repeat_ngram_size": nul... | 5 | null | ---
tags:
- BeamRiderNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: C51
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BeamRiderNoFrameskip-v4
type: BeamRi... | [
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AnonymousSub/AR_bert-base-uncased | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"BertModel"
],
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"no_repeat_ngram_size": nul... | 2 | null | This model classifies sentiment of the scientific text based on it's context, i.e text from scientific journals to negative (n), positive (p) and neutrals (o). | [
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AnonymousSub/AR_rule_based_hier_triplet_epochs_1_shard_1 | [
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"bert",
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"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size": nul... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-podimo-data-eval-2-2e
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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AnonymousSub/AR_rule_based_roberta_bert_quadruplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 9 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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AnonymousSub/AR_rule_based_twostagetriplet_hier_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
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"BertModel"
],
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"no_repeat_ngram_size": nul... | 6 | null | ---
license: mit
---
### egorey on Stable Diffusion
This is the `<gorey>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) noteboo... | [
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0... |
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