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 |
|---|---|---|---|---|---|---|---|
ArBert/albert-base-v2-finetuned-ner-kmeans | [
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"tensorboard",
"albert",
"token-classification",
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"autotrain_compatible"
] | token-classification | {
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"no_re... | 8 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: historical-events-reimagined
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. -->
# historical-e... | [
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ArBert/albert-base-v2-finetuned-ner | [
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"dataset:conll2003",
"transformers",
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"no_re... | 19 | null | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gmixer_24_224.ra3_in1k
A G-Mixer image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman. This is a custom `timm` model variant based on MLP-Mixer but using SwiGLU.
## Model... | [
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ArBert/bert-base-uncased-finetuned-ner-agglo | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gmlp_s16_224.ra3_in1k
A gMLP image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
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ArBert/bert-base-uncased-finetuned-ner-gmm | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for mixer_b16_224.goog_in21k
A MLP-Mixer image classification model. Trained on ImageNet-21k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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ArBert/bert-base-uncased-finetuned-ner-kmeans | [
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"bert",
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"no_repeat... | 6 | null | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for mixer_b16_224.goog_in21k_ft_in1k
A MLP-Mixer image classification model. Pretrained on ImageNet-21k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Type:... | [
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ArBert/roberta-base-finetuned-ner-agglo-twitter | [
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for mixer_b16_224.miil_in21k_ft_in1k
A MLP-Mixer image classification model. Pretrained on ImageNet-21k and fine-tuned on ImageNet-1k by [Alibaba-MIIL](https://github.com/Alibaba-MIIL).... | [
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ArBert/roberta-base-finetuned-ner-agglo | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for mixer_l16_224.goog_in21k
A MLP-Mixer image classification model. Trained on ImageNet-21k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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Arnold/common_voiceha | [] | null | {
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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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Arnold/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
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license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-sufficiency-dagstuhl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread... | [
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ArpanZS/debug_squad | [
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"no_repeat_n... | 14 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-sufficiency-ukp
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | [
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ArpanZS/search_model | [
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"num_beams... | 0 | null | # Vocabulary Trimmed [lmqg/mbart-large-cc25-ruquad-qa](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-qa): `vocabtrimmer/mbart-large-cc25-ruquad-qa-trimmed-ru-15000`
This model is a trimmed version of [lmqg/mbart-large-cc25-ruquad-qa](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-qa) by [`vocabtrimmer`](htt... | [
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Arpita/opus-mt-en-ro-finetuned-syn-to-react | [
"pytorch",
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"marian",
"text2text-generation",
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"no_repeat_ngram_size... | 9 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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ArseniyBolotin/bert-multi-PAD-ner | [
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"no_repeat... | 11 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### test Dreambooth model trained by GraymanMedia 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 [fa... | [
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Ashkanmh/bert-base-parsbert-uncased-finetuned | [
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"fill-mask",
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_base_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model... | [
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Ashl3y/model_name | [] | null | {
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_base_patch16_384.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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Aspect11/DialoGPT-Medium-LiSBot | [
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"no_repeat_ngram_size... | 7 | null | # Vocabulary Trimmed [lmqg/mbart-large-cc25-ruquad-qa](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-qa): `vocabtrimmer/mbart-large-cc25-ruquad-qa-trimmed-ru-60000`
This model is a trimmed version of [lmqg/mbart-large-cc25-ruquad-qa](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-qa) by [`vocabtrimmer`](htt... | [
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Atarax/rick | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
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Atchuth/DialoGPT-small-MBOT | [] | null | {
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library_name: stable-baselines3
tags:
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model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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type: LunarLander-v2
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tags:
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- timm
library_tag: timm
license: apache-2.0
datasets:
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- imagenet-22k
---
# Model card for deit3_large_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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tags:
- image-classification
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_large_patch16_384.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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library_name: stable-baselines3
tags:
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- reinforcement-learning
- stable-baselines3
model-index:
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results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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type: LunarLander-v2
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
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---
# Model card for deit3_large_patch16_384.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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Atiqah/Atiqah | [
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_medium_patch16_224.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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tags:
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library_tag: timm
license: apache-2.0
datasets:
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---
# Model card for deit3_medium_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_small_patch16_224.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_small_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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Augustvember/WOKKAWOKKA | [
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tags:
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library_tag: timm
license: apache-2.0
datasets:
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---
# Model card for deit3_small_patch16_384.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_small_patch16_384.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
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license: apache-2.0
widget:
- text: <usr>알버트 아인슈타인에 대해서 알아?
<sys>
- text: <usr>다음을 동물, 식물, 광물로 분류하십시오.
참나무, 구리 광석, 코끼리
<sys>
datasets:
- Bingsu/ko_alpaca_data
language:
- ko
---
- [Ajoublue-GPT2-medium](https://huggingface.co/heegyu/ajoublue-gpt2-medium) 모델을 [koalpaca](https:... | [
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_base_distilled_patch16_384.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
- **Model Type:** Image classificati... | [
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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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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### clbenben Dreambooth model trained by nan2 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-C... | [
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tags:
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_small_distilled_patch16_224.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
- **Model Type:** Image classificat... | [
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tags:
- image-classification
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library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_small_patch16_224.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
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Augustvember/wokka | [
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tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_tiny_distilled_patch16_224.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
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Augustvember/wokka4 | [
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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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Axon/resnet18-v1 | [
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library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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tags:
- autotrain
- vision
- image-classification
- medical
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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Aybars/ModelOnWhole | [
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library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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Ayham/albert_bert_summarization_cnn_dailymail | [
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"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
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"no_re... | 12 | null | ---
license: cc-by-4.0
---
# FiD model trained on TQA
-- This is the model checkpoint of FiD [2], based on the T5 (with 3B parameters) and trained on the TQA dataset [1].
-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps
References:
[1] TriviaQA: A Large Scale Dataset for Reading ... | [
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Ayham/albert_gpt2_Full_summarization_cnndm | [
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"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
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"no_re... | 9 | null | ---
license: cc-by-4.0
---
# FiD model trained on WebQ
-- This is the model checkpoint of FiD [2], based on the T5 (with 3B parameters) and trained on the WebQ dataset [1].
-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps
References:
[1] Semantic parsing on freebase from question... | [
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Ayham/albert_gpt2_summarization_xsum | [
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"generated_from_trainer",
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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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Ayham/bert_gpt2_summarization_xsum | [
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"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
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"no_re... | 6 | 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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Ayham/bertgpt2_cnn | [
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"no_re... | 4 | null | Access to model michaelaubry/deliberate is restricted and you are not in the authorized list. Visit https://huggingface.co/michaelaubry/deliberate to ask for access. | [
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Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | [
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"no_re... | 5 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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Ayham/ernie_gpt2_summarization_cnn_dailymail | [
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"no_re... | 13 | null | ---
tags:
- spacy
- token-classification
language:
- da
model-index:
- name: da_ner
results:
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name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9453630482
- name: NER Recall
type: recall
value: 0.9094052559
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Ayham/robertagpt2_xsum4 | [
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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Question_classifier_V2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
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Ayham/xlmroberta_gpt2_summarization_xsum | [
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"no_re... | 9 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
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results: []
datasets:
- squad
- squad_v1_pt
- wikipedia
language:
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library_name: transformers
inference:
parameters:
do_sample: false
max_new_tokens: 120
widget:
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library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
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library_name: stable-baselines3
tags:
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model-index:
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results:
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Aymene/opus-mt-en-ro-finetuned-en-to-ro | [] | null | {
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license: openrail
datasets:
- fka/awesome-chatgpt-prompts
language:
- es
- en
--- | [
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Ayoola/cdial-yoruba-test | [
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] | automatic-speech-recognition | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
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Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6 | [
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datasets:
- Hello-SimpleAI/HC3
language:
- en
pipeline_tag: text-classification
tags:
- chatgpt
---
# Model Card for `Hello-SimpleAI/chatgpt-detector-roberta`
This model is trained on **the mix of full-text and splitted sentences** of `answer`s from [Hello-SimpleAI/HC3](https://huggingface.co/datasets/Hello-Simpl... | [
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AyushPJ/ai-club-inductions-21-nlp-XLNet | [
"pytorch",
"xlnet",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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"no_... | 9 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.62
... | [
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AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2 | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
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"no_re... | 8 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
inference: true
---
# controlnet- circle1
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioni... | [
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AyushPJ/ai-club-inductions-21-nlp-roBERTa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
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"no_re... | 8 | null | ---
tags:
- autotrain
- summarization
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- hifructose/autotrain-data-jira-again
co2_eq_emissions:
emissions: 6.2702234630494305
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 44396111956
- CO2 Emissions (in grams): 6.2702
##... | [
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Azuris/DialoGPT-medium-envy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | 2023-03-28T04:33:01Z | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
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Azuris/DialoGPT-medium-senorita | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | 2023-03-28T04:35:10Z | ---
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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0.0... |
BE/demo-sentiment2021 | [] | null | {
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"num_beams... | 0 | 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 +/- 2.76... | [
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0.01066606491804123,
0.026338... |
BME-TMIT/foszt2oszt | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"hu",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
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"no_re... | 15 | 2023-03-28T05:14:04Z |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - https://huggingface.co/dzbao/SKINCON-all-tags-LoRA
These are LoRA adaption weights for runwayml... | [
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0.... |
BOON/electra_qa | [] | null | {
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"num_beams... | 0 | null | ---
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: validatio... | [
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0.01003609411418438,
0.0... |
BSC-LT/gpt2-large-bne | [
"pytorch",
"gpt2",
"text-generation",
"es",
"dataset:bne",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"license:apache-2.0"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 11 | null | ---
license: openrail
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- brier_score
library_name: adapter-transformers
pipeline_tag: text-classification
tags:
- art
--- | [
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... |
BSC-LT/roberta-large-bne-sqac | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:BSC-TeMU/SQAC",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"max_length": null,
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"no_re... | 15 | 2023-03-28T06:12:45Z | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: 20230328-002-baseline-xlmr-clickbait-spoiling
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 commen... | [
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Bagus/wav2vec2-large-xlsr-bahasa-indonesia | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"el",
"dataset:common_voice_id_6.1",
"transformers",
"audio",
"speech",
"bahasa-indonesia",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
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"no_repeat_ngram_s... | 12 | 2023-03-28T06:43:12Z | ---
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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BigDaddyNe1L/Hhaa | [] | null | {
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"num_beams... | 0 | null | Access to model sunbi10/detr-resnet-50_test is restricted and you are not in the authorized list. Visit https://huggingface.co/sunbi10/detr-resnet-50_test to ask for access. | [
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0.05... |
BigSalmon/FormalRobertaaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 12 | null | ---
language:
- en
tags:
- pytorch
- causal-lm
license: bigscience-openrail-m
---
[GeoV](https://github.com/geov-ai/geov)-9B is a 9 billion parameter causal language model.
The GeoV model was designed by Georges Harik and uses
[Rotary Positional Embeddings with Relative distances (RoPER)](https://research.labml.ai/... | [
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BigSalmon/InformalToFormalLincoln17 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 12 | null | 项目地址：[LLMPruner：大语言模型裁剪工具](https://github.com/yangjianxin1/LLMPruner)
LLMPruner是一个大语言模型裁剪工具，通过对大语言模型的冗余词表进行裁剪，减少模型参数量，降低显存占用，提升训练速度，并且能够保留预训练中学习到的知识。
本项目对Bloom进行词表裁剪，保留中文token和常用的英文token，词表由250880将至46145，缩减为原来的18.39%。裁剪得到的Bloom模型如下表：
| 裁剪模型 | 原模型... | [
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0... |
BigSalmon/InformalToFormalLincoln25 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 10 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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BigSalmon/MrLincoln3 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
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"no_repeat_ngram_size... | 17 | 2023-03-28T10:17:27Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
... | [
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0.0... |
BigSalmon/MrLincoln6 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 9 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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... |
BigSalmon/T5Salmon2 | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
"model_type": "t5",
"task_specific_params": {
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},
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"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 13 | 2023-03-28T10:39:18Z | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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... |
BigSalmon/TS3 | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
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],
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"no_repeat_n... | 7 | 2023-03-28T10:39:24Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-movie-roberta
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
arg... | [
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0.017415067180991173,
0... |
BlueGamerBeast/DialoGPT-small-joshua | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
---
# 風景LoRAセット
お手軽作成のloraです。あまり期待しないでください。
場合によっては使用時に強度を下げたほうが良いです。
## 桜風景
22枚の画像で学習しました。
トリガーワードは`cherry blossoms`です。
v1.1は33枚の画像で学習しました。
## 紅葉風景
11枚の画像で学習しました。
トリガーワードは`maple tree`です。
## 山(穂高岳)
16枚の画像で学習しました。
トリガーワードは`hotakadake`です。 | [
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0.046324051916599274,
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0.036220017820596695,
... |
BrianTin/MTBERT | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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... |
Broadus20/DialoGPT-small-joshua | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- generated_from_trainer
model-index:
- name: BaSum
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. -->
# BaSum
This model is a fine-tuned version of [dig... | [
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0.019744809716939926,
0.0... |
Brona/model1 | [] | null | {
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"num_beams... | 0 | null | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | [
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0.020305370911955833,
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0.01922684721648693,
... |
Bryan190/Aguy190 | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.060503214597702026,
0.007445802446454763,
0.0009130489779636264,
0.009629844687879086,
0... |
Brykee/BrykeeBot | [] | null | {
"architectures": null,
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.01253103744238615,
0.03665373474359512,
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0.013546683825552464,
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0.06110682711005211,
0.0076057808473706245,
0.0008312765276059508,
0.009981818497180939,
0.0... |
Bryson575x/riceboi | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-pixelcopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
-0.04093952849507332,
0.016512326896190643,
0.015121769160032272,
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0.049267277121543884,
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0.06865574419498444,
0.03824835270643234,
-0.008490681648254395,
0.01258369255810976,
-0... |
BumBelDumBel/ZORK_AI_FANTASY | [] | null | {
"architectures": null,
"model_type": null,
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},
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
-0.020809639245271683,
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0.012722359038889408,
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0.060777127742767334,
0.007716348860412836,
0.0010083256056532264,
0.01000452134758234,
0.... |
BumBelDumBel/ZORK_AI_SCIFI | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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0.002964638639241457,
0.015269912779331207,
0.02... |
BunakovD/sd | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
language:
- en
- zh
- de
- es
- ru
- ko
- fr
- ja
- pt
- tr
- pl
- ca
- nl
- ar
- sv
- it
- id
- hi
- fi
- vi
- he
- uk
- el
- ms
- cs
- ro
- da
- hu
- ta
- 'no'
- th
- ur
- hr
- bg
- lt
- la
- mi
- ml
- cy
- sk
- te
- fa
- lv
-... | [
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0.050493642687797546,
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... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"no_repeat... | 16,451 | 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... | [
-0.014766011387109756,
0.014574065804481506,
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0.05922599136829376,
0.03381921350955963,
-0.026889730244874954,
0.004634143318980932,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat... | 32 | null | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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... |
CAMeL-Lab/bert-base-arabic-camelbert-da | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"max_length": null,
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"no_repeat_ngram_size... | 449 | 2023-03-28T13:05:58Z | ---
tags:
- autotrain
- translation
language:
- tr
- fr
datasets:
- vuilleminethan/autotrain-data-marianmt-shi-en-fr
co2_eq_emissions:
emissions: 26.0022920107111
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 44506112181
- CO2 Emissions (in grams): 26.0023
## Validation Metrics
- Los... | [
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... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"min_length": null,
"no_rep... | 45 | null |
---
license: creativeml-openrail-m
base_model: xiaolxl/GuoFeng3
instance_prompt: jx3_daogu, 1 girl in white dress, masterpiece, best quality
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - kenthan/diffusers_dg
These are LoRA adaptio... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 34 | null | # cardiffnlp/twitter-xlm-roberta-base-hate-spanish
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) using the [`HaterNet`](https://zenodo.org/record/2592149) dataset and the Spanish subset of
[`SemEval-2019 Task 5`](https://aclanth... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_rep... | 63 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 1,860 | null | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
widget:
- text: ["Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion.",
"Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 bill... | [
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0.05370721220970154,
0.007655116729438305,
-0.029091741889715195,
-0.0008481170516461134,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 62 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE... | [
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0.015857508406043053,
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0.035572752356529236,
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0.011181152425706387,
-0.... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 132 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-unit4pixelcopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v... | [
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-0.007104308810085058,
0.012699606828391552,
-0.... |
CAMeL-Lab/bert-base-arabic-camelbert-mix | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"Arabic",
"Dialect",
"Egyptian",
"Gulf",
"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 20,880 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-IBM-argQ-30k-finetuned-effectiveness-redditCMV
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
"no_rep... | 71 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: m_bert_large_qa_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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0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
---
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit... | [
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0.06079360097646713,
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0.010647556744515896,
0.023... |
CLTL/icf-levels-enr | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
"... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: testtest
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
split: validation
args: mrpc
... | [
-0.018268253654241562,
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0.02124868705868721,
0.... |
CTBC/ATS | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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"max_length": null
},
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"num_beams... | 0 | null | ---
library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
type: doom_health_gathering_sup... | [
-0.0442202091217041,
-0.003367335768416524,
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0.03360278904438019,
0.00017911355826072395,
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0.025... |
Cameron/BERT-SBIC-targetcategory | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
tags:
- autotrain
- tabular
- classification
- tabular-classification
datasets:
- datadmg/autotrain-data-test-news
co2_eq_emissions:
emissions: 2.552195145818587
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 44534112235
- CO2 Emissions (in grams): 2.5522
## Validati... | [
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0.042... |
Canadiancaleb/DialoGPT-small-jesse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | # `cardiffnlp/xlm-roberta-base-tweet-sentiment-en`
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (english).
Following metrics are computed on th... | [
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0.03698883578181267,
0.025549815967679024,
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-0.015567081980407238,
0... |
Capreolus/electra-base-msmarco | [
"pytorch",
"tf",
"electra",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | {
"architectures": [
"ElectraForSequenceClassification"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 110 | null | Model credit to https://github.com/jifan-chen/QA-Verification-Via-NLI | [
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0.0014116426464170218,
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0.035750843584537506,
-0.010184495709836483,
0.023274624720215797,
... |
dccuchile/albert-base-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 5 | 2023-03-28T15:35:35Z | ---
language: mt
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- maltese
- whisper-large-v2
- masri-project
- malta
- university-of-malta
license: cc-by-nc-sa-4.0
widget: null
model-index:
- name: whisper-largev2-maltese-8k-steps-64h
results:
- task:
name: Automatic Speech Recognition
... | [
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-0.01742727681994438,
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0.055540964007377625,
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0.07855556160211563,
0.031131748110055923,
-0.03507965803146362,
0.005849139299243689,
0.0... |
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