modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TheBloke/YuLan-Chat-2-13B-GGUF | 2023-09-27T12:48:24.000Z | [
"transformers",
"llama",
"license:mit",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/YuLan-Chat-2-13B-GGUF | 1 | 839 | transformers | 2023-09-07T13:11:10 | ---
license: mit
model_name: YuLan Chat 2 13B
base_model: yulan-team/YuLan-Chat-2-13b-fp16
inference: false
model_creator: RUC-GSAI-YuLan
model_type: llama
prompt_template: 'The following is a conversation between a human and an AI assistant
namely YuLan, developed by GSAI, Renmin University of China. The AI assistan... | 28,597 | [
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Anu-5/birds-rsa | 2023-11-05T09:44:58.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Anu-5 | null | null | Anu-5/birds-rsa | 0 | 839 | diffusers | 2023-11-05T09:40:35 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Birds-rsa Dreambooth model trained by Anu-5 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-92
Sample pictures of this concept:
![0](https://huggingface.co/Anu-... | 395 | [
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0.02... |
DTAI-KULeuven/robbert-v2-dutch-sentiment | 2022-06-29T13:11:28.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"nl",
"dataset:dbrd",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | DTAI-KULeuven | null | null | DTAI-KULeuven/robbert-v2-dutch-sentiment | 4 | 838 | transformers | 2022-05-30T16:53:44 | ---
language: nl
license: mit
datasets:
- dbrd
model-index:
- name: robbert-v2-dutch-sentiment
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: dbrd
type: sentiment-analysis
split: test
metrics:
- name: Accuracy
type: accuracy
... | 4,294 | [
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MCG-NJU/videomae-small-finetuned-kinetics | 2023-04-22T11:39:50.000Z | [
"transformers",
"pytorch",
"videomae",
"video-classification",
"vision",
"arxiv:2203.12602",
"arxiv:2111.06377",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | video-classification | MCG-NJU | null | null | MCG-NJU/videomae-small-finetuned-kinetics | 1 | 838 | transformers | 2023-04-16T11:11:37 | ---
license: "cc-by-nc-4.0"
tags:
- vision
- video-classification
---
# VideoMAE (small-sized model, fine-tuned on Kinetics-400)
VideoMAE model pre-trained for 1600 epochs in a self-supervised way and fine-tuned in a supervised way on Kinetics-400. It was introduced in the paper [VideoMAE: Masked Autoencoders are Da... | 3,587 | [
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textattack/bert-base-uncased-ag-news | 2021-05-20T07:40:21.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/bert-base-uncased-ag-news | 4 | 837 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model CardThis `bert-base-uncased` model was fine-tuned for sequence classification using TextAttack
and the ag_news dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a c... | 625 | [
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digiplay/kencanmix_v2.0beta | 2023-07-22T14:24:13.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/kencanmix_v2.0beta | 2 | 837 | diffusers | 2023-06-15T12:14:13 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/34686?modelVersionId=65787
Sample image I made, using diffusers + Google colab :
![](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4... | 353 | [
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timm/ViT-L-16-SigLIP-256 | 2023-10-25T21:54:51.000Z | [
"open_clip",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/ViT-L-16-SigLIP-256 | 1 | 837 | open_clip | 2023-10-16T23:24:41 | ---
tags:
- clip
- siglip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- webli
---
# Model card for ViT-L-16-SigLIP-256
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX c... | 3,162 | [
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timm/semnasnet_100.rmsp_in1k | 2023-04-27T21:14:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1807.11626",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/semnasnet_100.rmsp_in1k | 0 | 836 | timm | 2022-12-13T00:01:03 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for semnasnet_100.rmsp_in1k
A MNasNet image classification model with Squeeze-and-Excitation channel attention. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details... | 4,422 | [
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timm/tf_efficientnet_b8.ap_in1k | 2023-04-27T21:27:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b8.ap_in1k | 0 | 836 | timm | 2022-12-13T00:06:54 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b8.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,548 | [
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... |
Enoch/llama-65b-hf | 2023-04-13T13:16:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Enoch | null | null | Enoch/llama-65b-hf | 3 | 836 | transformers | 2023-04-13T10:53:28 | ---
license: other
---
LLaMA-65B converted to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Meta AI.
**Model date**
LLaMA was trained betwe... | 8,309 | [
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0.01513... |
digiplay/mecha_musume_vivid_soft | 2023-10-19T10:38:30.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/mecha_musume_vivid_soft | 2 | 836 | diffusers | 2023-07-06T09:20:24 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/28628?modelVersionId=34346
Sample image :
![30fa2440-eccc-4708-8776-b984ae546f75.jpeg](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6... | 889 | [
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0.0228271484375,
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0.045928955078125,
0.0199127197265625,
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timm/efficientvit_m4.r224_in1k | 2023-08-18T23:21:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m4.r224_in1k | 0 | 836 | timm | 2023-08-18T23:21:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m4.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,764 | [
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sultan/ArabicT5-49GB-base | 2023-11-05T02:15:16.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"arxiv:2109.10686",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | sultan | null | null | sultan/ArabicT5-49GB-base | 0 | 836 | transformers | 2023-10-16T23:51:50 | # ArabicT5: Efficient Adaptation of T5 on Arabic Language
# Model Description
This model adapts T5 on the Arabic Language by pre-training T5 on :
- Arabic Wikipedia.
- Marefa encyclopedia.
- Hindawi Books.
- a collection of Arabic News.
- OSCAR Dataset (32GB)
Total Corpora size is 49GB. This model uses an efficien... | 7,725 | [
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-0.056640625,
0.01... |
google/vit-huge-patch14-224-in21k | 2022-01-28T10:24:44.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"vit",
"feature-extraction",
"vision",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"region:us"
] | feature-extraction | google | null | null | google/vit-huge-patch14-224-in21k | 8 | 835 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet-21k
inference: false
---
# Vision Transformer (huge-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224. It was introduced in the paper [An Image is Worth 16x16 Words: Transformer... | 4,996 | [
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timm/vit_base_patch16_224_miil.in21k_ft_in1k | 2023-05-06T00:01:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k-p",
"arxiv:2104.10972",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224_miil.in21k_ft_in1k | 0 | 835 | timm | 2022-12-22T07:28:49 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k-p
---
# Model card for vit_base_patch16_224_miil.in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Petrained on ImageNet-21k-P and fine-tuned on ImageNet-1k by Alibaba MIIL.
## Mod... | 3,690 | [
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0.0279541015625,
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digiplay/hellofantasytime_v1.22 | 2023-07-16T07:00:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/hellofantasytime_v1.22 | 0 | 834 | diffusers | 2023-07-13T09:19:29 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/108289?modelVersionId=116540
Sample image I made thru Huggingface's API :
![e8d72193-e8ab-4288-b287-43c69c0a286a.jpeg](https://cdn-uploads.huggingface.co/pro... | 2,010 | [
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0.06695556640625,
0.042022705078125,
-0.06378173828125,
-0.05218505859375,
-0.0396728515625,
0.007431... |
timm/efficientvit_m1.r224_in1k | 2023-08-18T23:21:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m1.r224_in1k | 0 | 834 | timm | 2023-08-18T23:21:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m1.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,764 | [
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krevas/LDCC-Instruct-Llama-2-ko-13B-v4.1.12 | 2023-10-20T03:37:13.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | krevas | null | null | krevas/LDCC-Instruct-Llama-2-ko-13B-v4.1.12 | 0 | 834 | transformers | 2023-10-19T23:15:22 | ---
license: cc-by-nc-4.0
---
# LDCC-Instruct-Llama-2-ko-13B
<img src="./assets/icon.png" alt="image" width="50%" height="auto">
## Model Details
* **Developed by**: [Lotte Data Communication](https://www.ldcc.co.kr)
## Hardware and Software
* **Hardware**: We utilized an A100x8 * 1 for training our model
* **Tra... | 10,040 | [
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-0.054962158203125,
0.00579071044921875,
0.0166473388671875,
-0.0574951171875,
-0.042877197265625,
-0.052001953125,
... |
datificate/gpt2-small-spanish | 2021-05-21T15:24:00.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:wikipedia",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | datificate | null | null | datificate/gpt2-small-spanish | 21 | 833 | transformers | 2022-03-02T23:29:05 | ---
language: es
widget:
- text: "La inteligencia artificial en lationoamérica se ha desarrollado "
license: apache-2.0
datasets:
- wikipedia
---
La descripción en Español se encuentra después de la descripción en Inglés.
# (English) GPT2-small-spanish: a Language Model for Spanish text generation (and more NLP task... | 6,327 | [
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0.00008... |
timm/efficientnet_b2_pruned.in1k | 2023-04-27T21:10:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:2002.08258",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b2_pruned.in1k | 0 | 833 | timm | 2022-12-12T23:56:29 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b2_pruned.in1k
A EfficientNet image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 4,273 | [
[
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0.0266571044921875,
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-0.0579833984375,
... |
Justin-Choo/XXMix_9realisticSDXL | 2023-08-29T04:03:18.000Z | [
"diffusers",
"art",
"text-to-image",
"en",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Justin-Choo | null | null | Justin-Choo/XXMix_9realisticSDXL | 3 | 833 | diffusers | 2023-08-28T10:19:40 | ---
language:
- en
library_name: diffusers
tags:
- art
pipeline_tag: text-to-image
---
GET MORE INFO AT https://civitai.com/models/124421/xxmix9realisticsdxl
trigger word(putting this word in your prompt will get better results): xxmix_girl | 240 | [
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-0.0220184326171875,
-0.048095703125,
-0.0158... |
UCSC-VLAA/ViT-H-14-CLIPA-datacomp1B | 2023-10-17T06:13:54.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"dataset:mlfoundations/datacomp_1b",
"arxiv:2306.15658",
"arxiv:2305.07017",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | UCSC-VLAA | null | null | UCSC-VLAA/ViT-H-14-CLIPA-datacomp1B | 0 | 833 | open_clip | 2023-10-17T06:02:37 | ---
tags:
- clip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- mlfoundations/datacomp_1b
---
# Model card for ViT-H-14-CLIPA-datacomp1B
A CLIPA-v2 model...
## Model Details
- **Model Type:** Contrastive Image-Text, Zero-Shot Image Classification.
- **Original:** ... | 2,210 | [
[
-0.0256500244140625,
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-0.03363037109375,
-0.04742431640625,
-0.0143... |
hf-internal-testing/tiny-sdxl-custom-all | 2023-10-20T14:23:38.000Z | [
"diffusers",
"onnx",
"text-to-image",
"region:us"
] | text-to-image | hf-internal-testing | null | null | hf-internal-testing/tiny-sdxl-custom-all | 0 | 832 | diffusers | 2023-10-20T14:17:57 | ---
library_name: diffusers
tags:
- text-to-image
---
```python
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-all", trust_remote_code=True)
assert pipeline.config.unet == ('diffusers_modules.local.my_unet_model', 'MyUNetModel')
assert pipeli... | 600 | [
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0.0241241455078125,
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0.... |
Lazyhope/python-clone-detection | 2023-01-20T23:10:19.000Z | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"custom_code",
"license:mit",
"region:us"
] | feature-extraction | Lazyhope | null | null | Lazyhope/python-clone-detection | 0 | 831 | transformers | 2022-12-16T23:33:20 | ---
license: mit
---
# Python clone detection
This is a codebert model for detecting Python clone codes, fine-tuned on the dataset shared by [PoolC](https://github.com/PoolC) on [Hugging Face Hub](https://huggingface.co/datasets/PoolC/1-fold-clone-detection-600k-5fold). The original source code for using the model can... | 1,738 | [
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NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-8000-steps | 2023-03-04T13:02:30.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-8000-steps | 0 | 830 | diffusers | 2023-03-02T13:43:56 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20230302_1330_rep_old_DS_8000_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_8000_steps concept taught to Stable Diffusion wit... | 949 | [
[
-0.024627685546875,
-0.06805419921875,
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0.00678253173828125,
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0.04315185546875,
0.0291900634765625,
-0.034027099609375,
-0.03216552734375,
-0.044952392578125,
... |
OpenAssistant/falcon-40b-sft-top1-560 | 2023-06-06T10:12:42.000Z | [
"transformers",
"pytorch",
"RefinedWeb",
"text-generation",
"sft",
"custom_code",
"en",
"de",
"es",
"fr",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/falcon-40b-sft-top1-560 | 47 | 830 | transformers | 2023-06-02T17:53:28 | ---
license: apache-2.0
language:
- en
- de
- es
- fr
tags:
- sft
inference: false
datasets:
- OpenAssistant/oasst1
---
# Open-Assistant Falcon 40B SFT OASST-TOP1 Model
This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM.
It was trained with top-1 (high-quality) demonstrat... | 2,839 | [
[
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0.00286483... |
Helsinki-NLP/opus-mt-az-en | 2023-08-16T11:25:53.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"az",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-az-en | 0 | 829 | transformers | 2022-03-02T23:29:04 | ---
language:
- az
- en
tags:
- translation
license: apache-2.0
---
### aze-eng
* source group: Azerbaijani
* target group: English
* OPUS readme: [aze-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-eng/README.md)
* model: transformer-align
* source language(s): aze_Latn
* targe... | 2,074 | [
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0.026031494140625,
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-0.043792724609375,
0.027847... |
shailja/fine-tuned-codegen-2B-Verilog | 2023-08-30T17:00:16.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"code",
"dataset:shailja/Verilog_GitHub",
"arxiv:2212.11140",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"region:us"
] | text-generation | shailja | null | null | shailja/fine-tuned-codegen-2B-Verilog | 3 | 829 | transformers | 2022-09-18T18:32:28 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: module display_hello_word
example_title: Hello world
group: Verilog
license: bigcode-openrail-m
datasets:
- shailja/Verilog_GitHub
library_name: transformers
tags:
- code
model-index:
- name: VeriGen
results:
- task:
type: text-generation
... | 4,629 | [
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0.033599853515625,
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NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-4000-steps | 2023-03-04T13:10:14.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-4000-steps | 0 | 829 | diffusers | 2023-03-02T13:55:42 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20230302_1330_rep_old_DS_4000_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_4000_steps concept taught to Stable Diffusion wit... | 949 | [
[
-0.0252227783203125,
-0.067138671875,
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... |
timm/fastvit_ma36.apple_in1k | 2023-08-23T20:55:01.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2303.14189",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/fastvit_ma36.apple_in1k | 1 | 829 | timm | 2023-08-23T20:54:29 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for fastvit_ma36.apple_in1k
A FastViT image classification model. Trained on ImageNet-1k by paper authors.
Please observe [original license](https://github.com/apple/ml-fastvit/blob/8af5928238cab99c45f64... | 3,670 | [
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facebook/mms-tts-hau | 2023-09-01T10:14:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-hau | 0 | 829 | transformers | 2023-09-01T10:13:59 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Hausa Text-to-Speech
This repository contains the **Hausa (hau)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.org/ab... | 3,966 | [
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GAI-LLM/ko-en-llama2-13b-mixed-v4 | 2023-10-27T00:44:35.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GAI-LLM | null | null | GAI-LLM/ko-en-llama2-13b-mixed-v4 | 0 | 829 | transformers | 2023-10-26T04:15:49 | ---
license: cc-by-nc-4.0
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**The license is `cc-by-nc-4.0`.**
# **GAI-LLM/ko-en-llama2-13b-mixed-v4**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
**... | 1,343 | [
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0.00... |
timm/tf_efficientnet_b1.ap_in1k | 2023-04-27T21:17:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b1.ap_in1k | 0 | 828 | timm | 2022-12-13T00:01:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b1.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,539 | [
[
-0.0295562744140625,
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0.004695892333984375,
-0.0186614990234375,
-0.0340576171875,
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0.0111236572265625,
0.023284912109375,
-0.0245513916015625,
-0.048309326171875,
-0.05853271484375,... |
NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-4800-steps | 2023-03-04T12:58:29.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-4800-steps | 0 | 828 | diffusers | 2023-03-02T14:01:32 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20230302_1330_rep_old_DS_4800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_4800_steps concept taught to Stable Diffusion wit... | 949 | [
[
-0.02471923828125,
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0.043243408203125,
0.0278472900390625,
-0.035064697265625,
-0.03253173828125,
-0.044830322265625,
... |
SURYAJAI/my-agriculture-xzg | 2023-11-04T10:37:11.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | SURYAJAI | null | null | SURYAJAI/my-agriculture-xzg | 0 | 828 | diffusers | 2023-11-04T10:33:13 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My--Agriculture-XZG Dreambooth model trained by SURYAJAI following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-1091
Sample pictures of this concept:
![0](https://huggi... | 405 | [
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0.0045... |
Talha/URDU-ASR | 2022-08-04T19:27:04.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | Talha | null | null | Talha/URDU-ASR | 0 | 827 | transformers | 2022-08-03T19:50:46 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: output
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. -->
# output
This model is a fine... | 2,484 | [
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-0.057952880859375,
-0.048095703125,
-0.04547119140625,
... |
NickKolok/meryl-stryfe-20221225-2230-3200-steps_1 | 2023-03-04T13:47:31.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20221225-2230-3200-steps_1 | 0 | 827 | diffusers | 2022-12-25T21:22:23 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__3200_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__3200_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | 5,478 | [
[
-0.06707763671875,
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-0.04278564453125,
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0.01170... |
NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-8800-steps | 2023-03-04T13:06:32.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20230302-1330-rep-old-ds-8800-steps | 0 | 827 | diffusers | 2023-03-02T13:49:58 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20230302_1330_rep_old_DS_8800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_8800_steps concept taught to Stable Diffusion wit... | 949 | [
[
-0.02435302734375,
-0.069091796875,
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0.027862548828125,
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-0.032623291015625,
-0.04461669921875,
-0.0273... |
badmonk/nminanko | 2023-07-15T10:51:12.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/nminanko | 1 | 827 | diffusers | 2023-07-13T18:34:42 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for NMINANKO
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** Reliberate... | 426 | [
[
-0.0133514404296875,
-0.024810791015625,
0.0239715576171875,
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GroNLP/gpt2-small-italian | 2023-09-11T08:57:44.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"gpt2",
"text-generation",
"adaption",
"recycled",
"gpt2-small",
"it",
"arxiv:2012.05628",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GroNLP | null | null | GroNLP/gpt2-small-italian | 6 | 826 | transformers | 2022-03-02T23:29:04 | ---
language: it
tags:
- adaption
- recycled
- gpt2-small
pipeline_tag: text-generation
---
# GPT-2 recycled for Italian (small)
[Wietse de Vries](https://www.semanticscholar.org/author/Wietse-de-Vries/144611157) •
[Malvina Nissim](https://www.semanticscholar.org/author/M.-Nissim/2742475)
## Model description
This m... | 2,360 | [
[
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0.0205078125,
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-0.0243072509765625,
-0.05242919921875,
0.003... |
Narrativa/mbart-large-50-finetuned-opus-en-pt-translation | 2021-06-21T11:07:11.000Z | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"translation",
"en",
"pt",
"dataset:opus100",
"dataset:opusbook",
"arxiv:2008.00401",
"arxiv:2004.11867",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | translation | Narrativa | null | null | Narrativa/mbart-large-50-finetuned-opus-en-pt-translation | 7 | 826 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- pt
datasets:
- opus100
- opusbook
tags:
- translation
metrics:
- bleu
---
# mBART-large-50 fine-tuned onpus100 and opusbook for English to Portuguese translation.
[mBART-50](https://huggingface.co/facebook/mbart-large-50/) large fine-tuned on [opus100](https://huggingface.co/datasets/viewer/?da... | 4,503 | [
[
-0.0293426513671875,
-0.053009033203125,
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-0.02899169921875,
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-0.038482666015625,
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0.0168609619140625,
0.0262298583984375,
-0.05010986328125,
-0.0400390625,
-0.047454833984375,
... |
deepmind/vision-perceiver-learned | 2021-12-13T09:25:29.000Z | [
"transformers",
"pytorch",
"perceiver",
"image-classification",
"dataset:imagenet",
"arxiv:2107.14795",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | deepmind | null | null | deepmind/vision-perceiver-learned | 10 | 826 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
datasets:
- imagenet
---
# Perceiver IO for vision (learned position embeddings)
Perceiver IO model pre-trained on ImageNet (14 million images, 1,000 classes) at resolution 224x224. It was introduced in the paper [Perceiver IO: A General Architecture for Structured Inputs & Outputs](http... | 5,080 | [
[
-0.0469970703125,
-0.04534912109375,
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0.00292205810546875,
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0.01087188720703125,
0.0092315673828125,
-0.028106689453125,
-0.0228424072265625,
-0.04757690429687... |
nvidia/tts_hifigan | 2022-06-29T21:31:29.000Z | [
"nemo",
"text-to-speech",
"speech",
"audio",
"Vocoder",
"GAN",
"pytorch",
"NeMo",
"Riva",
"en",
"dataset:ljspeech",
"arxiv:2010.05646",
"license:cc-by-4.0",
"has_space",
"region:us"
] | text-to-speech | nvidia | null | null | nvidia/tts_hifigan | 13 | 826 | nemo | 2022-06-29T01:51:43 | ---
language:
- en
library_name: nemo
datasets:
- ljspeech
thumbnail: null
tags:
- text-to-speech
- speech
- audio
- Vocoder
- GAN
- pytorch
- NeMo
- Riva
license: cc-by-4.0
---
# NVIDIA Hifigan Vocoder (en-US)
<style>
img {
display: inline;
}
</style>
| [![Model architecture](https://img.shields.io/badge/Model_Arch-H... | 4,478 | [
[
-0.054718017578125,
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... |
NickKolok/meryl-stryfe-20221225-2230-4800-steps_1 | 2023-03-04T13:44:55.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20221225-2230-4800-steps_1 | 0 | 826 | diffusers | 2022-12-25T21:08:34 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__4800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__4800_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | 5,478 | [
[
-0.06805419921875,
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0.0114... |
NickKolok/meryl-stryfe-20221225-2230-800-steps_1 | 2023-03-04T14:57:20.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20221225-2230-800-steps_1 | 0 | 826 | diffusers | 2022-12-25T21:12:20 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__800_steps concept taught to Stable Diffusion with Dreambooth.
#It can be used ... | 5,441 | [
[
-0.06304931640625,
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0.013549804... |
NickKolok/meryl-stryfe-20221225-2230-2400-steps_1 | 2023-03-04T14:34:43.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NickKolok | null | null | NickKolok/meryl-stryfe-20221225-2230-2400-steps_1 | 0 | 826 | diffusers | 2022-12-25T21:18:57 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### meryl-stryfe-20221225-2230-2400-steps_1 on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the meryl-stryfe-20221225-2230-2400-steps_1 concept taught to Stable Diffusion with Dreambooth.
#I... | 931 | [
[
-0.0254364013671875,
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nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large | 2021-06-20T19:02:12.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nreimers | null | null | nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large | 1 | 825 | transformers | 2022-03-02T23:29:05 | # MiniLMv2
This is a MiniLMv2 model from: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm/tree/master/minilm) | 133 | [
[
0.0016727447509765625,
-0.0396728515625,
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0.00402069091796875,
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0.035247802734375,
-0.0882568359375,
-0.0116119384765625,
-0.01016998291015625,
... |
pere/nb-nn-translation | 2021-09-23T16:19:21.000Z | [
"transformers",
"pytorch",
"jax",
"translation",
"no",
"dataset:oscar",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | pere | null | null | pere/nb-nn-translation | 3 | 825 | transformers | 2022-03-02T23:29:05 | ---
language: no
license: cc-by-4.0
tags:
- translation
datasets:
- oscar
widget:
- text: Skriv inn en tekst som du ønsker å oversette til en annen målform.
---
# 🇳🇴 Bokmål ⇔ Nynorsk 🇳🇴
Norwegian has two relatively similar written languages; Bokmål and Nynorsk. Historically Nynorsk is a written norm based on di... | 3,088 | [
[
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0.0271759033203125,
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0.... |
Hemlok/LonganMix | 2023-05-05T12:36:44.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hemlok | null | null | Hemlok/LonganMix | 83 | 825 | diffusers | 2023-01-11T19:33:28 | ---
license: other
tags:
- stable-diffusion
- text-to-image
pipeline_tag: text-to-image
---
# 『Longan Mix』
<img src="https://i.imgur.com/MQ1Krv6.png" width="1024" height="">
"Longan Mix" is a merged mix based on "7th_Layer(https://huggingface.co/syaimu/7th_Layer) ".
----
# ◆Discord
[Join Discord Server](https://dis... | 2,229 | [
[
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0.01710510253... |
Nune337/nuneakamrpropane | 2023-10-23T11:14:23.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Nune337 | null | null | Nune337/nuneakamrpropane | 0 | 825 | diffusers | 2023-10-23T11:03:39 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### nuneakamrpropane Dreambooth model trained by Nune337 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 Co... | 1,201 | [
[
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-0.01295471... |
TheBloke/Nous-Hermes-Llama-2-7B-GPTQ | 2023-09-27T12:45:06.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"self-instruct",
"distillation",
"synthetic instruction",
"en",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Nous-Hermes-Llama-2-7B-GPTQ | 8 | 824 | transformers | 2023-07-27T19:41:11 | ---
language:
- en
license:
- mit
tags:
- llama-2
- self-instruct
- distillation
- synthetic instruction
model_name: Nous Hermes Llama 2 7B
base_model: NousResearch/Nous-Hermes-llama-2-7b
inference: false
model_creator: NousResearch
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Writ... | 21,036 | [
[
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0.01422882080078125,
0.019256591796875,
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0.03082275390625,
-0.04949951171875,
-0.03765869140625,
-0.031951904296875,
-0... |
syedrulz/audi-r8-xzg | 2023-10-09T09:11:56.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | syedrulz | null | null | syedrulz/audi-r8-xzg | 0 | 823 | diffusers | 2023-10-09T08:58:40 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Audi-R8-xzg Dreambooth model trained by syedrulz following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: BSARCIST-168
Sample pictures of this concept:
![0](https://hugging... | 507 | [
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alexandrainst/da-hatespeech-detection-small | 2023-09-20T11:56:29.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"da",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | alexandrainst | null | null | alexandrainst/da-hatespeech-detection-small | 0 | 822 | transformers | 2022-03-02T23:29:04 | ---
language:
- da
license: apache-2.0
widget:
- text: Senile gamle idiot
---
# Danish ELECTRA for hate speech (offensive language) detection
The ELECTRA Offensive model detects whether a Danish text is offensive or not.
It is based on the pretrained [Danish Ælæctra](Maltehb/aelaectra-danish-electra-small-cased) mod... | 953 | [
[
-0.0389404296875,
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... |
KBLab/wav2vec2-large-voxrex-swedish | 2023-08-29T13:40:44.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"hf-asr-leaderboard",
"sv",
"dataset:common_voice",
"dataset:NST_Swedish_ASR_Database",
"dataset:P4",
"arxiv:2205.03026",
"license:cc0-1.0",
"model-index",
"endpoints_compatible",
... | automatic-speech-recognition | KBLab | null | null | KBLab/wav2vec2-large-voxrex-swedish | 8 | 822 | transformers | 2022-03-02T23:29:04 | ---
language: sv
arxiv: https://arxiv.org/abs/2205.03026
datasets:
- common_voice
- NST_Swedish_ASR_Database
- P4
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- hf-asr-leaderboard
license: cc0-1.0
model-index:
- name: Wav2vec 2.0 large VoxRex Swedish
results:
- task:
name: Speech Recog... | 3,456 | [
[
-0.0245513916015625,
-0.03936767578125,
0.0053558349609375,
0.020782470703125,
-0.0188751220703125,
-0.0175933837890625,
-0.035919189453125,
-0.048675537109375,
-0.005641937255859375,
0.03350830078125,
-0.04119873046875,
-0.04742431640625,
-0.037078857421875,
... |
timm/vit_small_r26_s32_224.augreg_in21k_ft_in1k | 2023-05-06T00:52:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_r26_s32_224.augreg_in21k_ft_in1k | 0 | 822 | timm | 2022-12-23T00:33:45 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_small_r26_s32_224.augreg_in21k_ft_in1k
A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi... | 3,922 | [
[
-0.038665771484375,
-0.0272064208984375,
-0.003570556640625,
0.002094268798828125,
-0.0290985107421875,
-0.01983642578125,
-0.02325439453125,
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0.0186767578125,
0.0188751220703125,
-0.0416259765625,
-0.036102294921875,
-0.0440673828125,
0.00... |
microsoft/git-large-vqav2 | 2023-09-07T06:14:20.000Z | [
"transformers",
"pytorch",
"safetensors",
"git",
"text-generation",
"vision",
"visual-question-answering",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | visual-question-answering | microsoft | null | null | microsoft/git-large-vqav2 | 11 | 822 | transformers | 2023-01-02T11:07:38 | ---
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... | 3,167 | [
[
-0.0462646484375,
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0.019012451171875,
0.03314208984375,
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-0.0258026123046875,
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-0.... |
timm/coatnet_2_rw_224.sw_in12k | 2023-05-10T23:43:13.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_2_rw_224.sw_in12k | 0 | 822 | timm | 2023-01-20T21:24:51 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for coatnet_2_rw_224.sw_in12k
A timm specific CoAtNet image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
### Model Variants... | 22,070 | [
[
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-0.04400634765625,
-0.048095703125,
-0.00... |
fabiochiu/t5-base-tag-generation | 2023-08-03T07:55:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | fabiochiu | null | null | fabiochiu/t5-base-tag-generation | 32 | 821 | transformers | 2022-05-19T08:45:13 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-tag-generation
results: []
widget:
- text: "Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-ty... | 3,584 | [
[
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0.01189422607421875,
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-0.044189453125,
-0.04180908203125,
0.02276... |
timm/swinv2_base_window12to24_192to384.ms_in22k_ft_in1k | 2023-03-18T03:31:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_base_window12to24_192to384.ms_in22k_ft_in1k | 0 | 821 | timm | 2023-03-18T03:31:13 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swinv2_base_window12to24_192to384.ms_in22k_ft_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model D... | 4,561 | [
[
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0.0286407470703125,
-0.039947509765625,
-0.040069580078125,
-0.046142578125... |
s2w-ai/DarkBERT | 2023-10-06T02:11:10.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | s2w-ai | null | null | s2w-ai/DarkBERT | 37 | 821 | transformers | 2023-07-07T06:38:09 | ---
license: cc-by-nc-4.0
pipeline_tag: fill-mask
widget:
- text: >-
The most trusted online bulk <mask> seller in the world -Consistent 90%+
purity -All shipments straight off the brick. 250-500g orders received a
portion of a stamped brick. At 1000g, full stamped bricks are shipped. -We
utilize the be... | 6,127 | [
[
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0.017059326171875,
0.036041259765625,
-0.0291748046875,
-0.053741455078125,
-0.03741455078125,
0.009... |
bongo2112/sdxl-db-moodewji-v3 | 2023-09-15T13:42:39.000Z | [
"diffusers",
"tensorboard",
"text-to-image",
"autotrain",
"has_space",
"region:us"
] | text-to-image | bongo2112 | null | null | bongo2112/sdxl-db-moodewji-v3 | 2 | 821 | diffusers | 2023-09-14T11:37:32 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of moodewjitz man
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 236 | [
[
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0.015625,
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-0.05975341796875,
0.020202636... |
TheBloke/chronos-hermes-13B-AWQ | 2023-09-27T12:53:06.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pytorch",
"chatbot",
"storywriting",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/chronos-hermes-13B-AWQ | 0 | 821 | transformers | 2023-09-20T01:25:38 | ---
license: other
tags:
- llama
- pytorch
- chatbot
- storywriting
model_name: Chronos Hermes 13B
base_model: Austism/chronos-hermes-13b
inference: false
model_creator: Austism
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request... | 11,159 | [
[
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0.007198333740234375,
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0.0288543701171875,
-0.056732177734375,
-0.035125732421875,
-0.0230255126953125... |
ydshieh/roberta-base-squad2 | 2022-03-23T22:39:25.000Z | [
"transformers",
"tf",
"roberta",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | ydshieh | null | null | ydshieh/roberta-base-squad2 | 0 | 820 | transformers | 2022-03-23T22:29:51 | ---
language: en
datasets:
- squad_v2
license: cc-by-4.0
---
# roberta-base for QA
NOTE: This is version 2 of the model. See [this github issue](https://github.com/deepset-ai/FARM/issues/552) from the FARM repository for an explanation of why we updated. If you'd like to use version 1, specify `revision="v1.0"` when... | 4,742 | [
[
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0.028350830078125,
-0.059478759765625,
-0.046173095703125,
-0.029693603515625,
0.006... |
timm/maxxvitv2_rmlp_base_rw_224.sw_in12k | 2023-05-11T00:48:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxxvitv2_rmlp_base_rw_224.sw_in12k | 1 | 820 | timm | 2023-01-20T21:37:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for maxxvitv2_rmlp_base_rw_224.sw_in12k
A timm specific MaxxViT-V2 (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `t... | 22,335 | [
[
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-0.01209259033203125,
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0.050140380859375,
0.017333984375,
-0.0411376953125,
-0.046295166015625,
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... |
ritakurban/ESM_protein_localization | 2023-03-20T14:36:23.000Z | [
"transformers",
"pytorch",
"esm",
"text-classification",
"en",
"endpoints_compatible",
"region:us"
] | text-classification | ritakurban | null | null | ritakurban/ESM_protein_localization | 2 | 820 | transformers | 2023-03-19T23:53:17 | ---
language:
- en
---
# ESM Protein Localization Model
## Model description
The ESM Protein Localization Model is a deep learning model trained on protein sequences to predict their subcellular localization. The model uses contextualized protein sequence embeddings provided by the \href{https://huggingface.co/facebook... | 2,196 | [
[
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0.01239013671875,
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0.0364990234375,
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-0.066650390625,
-0.045867919921875,
0.... |
usmiva/bert-web-bg | 2023-08-24T20:30:50.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"generated_from_trainer",
"fill-mask",
"bg",
"license:cc-by-2.0",
"endpoints_compatible",
"region:us"
] | fill-mask | usmiva | null | null | usmiva/bert-web-bg | 0 | 820 | transformers | 2023-06-27T13:07:44 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-web-bg
results: []
license: cc-by-2.0
language:
- bg
pipeline_tag: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | 4,747 | [
[
-0.046783447265625,
-0.04205322265625,
-0.00408935546875,
0.036102294921875,
-0.03436279296875,
-0.00342559814453125,
-0.032196044921875,
-0.0215301513671875,
0.0235137939453125,
0.0013875961303710938,
-0.047943115234375,
-0.059295654296875,
-0.043304443359375,
... |
sdfhh/craigmullins2 | 2023-10-21T03:50:31.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | sdfhh | null | null | sdfhh/craigmullins2 | 0 | 820 | diffusers | 2023-10-21T03:09:33 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### craigmullins2 Dreambooth model trained by sdfhh with TheLastBen's fast-DreamBooth notebook
| 204 | [
[
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0.02703857421875,
0.03515625,
-0.0204620361328125,
-0.04534912109375,
-0.05328369140625,
-0.0375... |
efederici/sentence-BERTino | 2023-05-21T09:36:07.000Z | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | efederici | null | null | efederici/sentence-BERTino | 3 | 819 | sentence-transformers | 2022-03-27T22:35:17 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
language:
- it
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-BERTino
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector sp... | 3,073 | [
[
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-0.049346923828125,
0.0164031982421875,
0.030548095703125,
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-0.0204010009765625,
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0.0179901123046875,
0.0201873779296875,
-0.044525146484375,
-0.03326416015625,
-0.0511474609375,
... |
Aalaa/opt-125m-wikitext2 | 2022-06-28T22:39:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"opt",
"text-generation",
"generated_from_trainer",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Aalaa | null | null | Aalaa/opt-125m-wikitext2 | 0 | 819 | transformers | 2022-06-28T21:52:26 | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-125m-wikitext2
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. -->
# opt-125m-wikitext2
T... | 1,353 | [
[
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-0.04656982421875,
0.00965118408203125,
0.01483917236328125,
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0.020111083984375,
0.0262298583984375,
-0.06878662109375,
-0.03607177734375,
-0.037994384765625,
... |
prompthero/funko-diffusion | 2023-05-16T09:27:12.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | prompthero | null | null | prompthero/funko-diffusion | 79 | 819 | diffusers | 2022-11-12T12:31:42 | ---
inference: true
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
---
__Stable Diffusion fine tuned on Funko Pop, by [PromptHero](https://prompthero.com/?utm_source=huggingface&utm_medium=referral).__
Use prompt: `funko style`
### Sample outputs:
Prompt: "Morgan Freema... | 912 | [
[
-0.06378173828125,
-0.05633544921875,
0.0404052734375,
0.037353515625,
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0.021820068359375,
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-0.01291656494140625,
-0.04510498046875,
0.0232696... |
charanhu/text_to_sql_3 | 2023-01-26T07:56:17.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain",
"translation",
"unk",
"dataset:charanhu/autotrain-data-text_to_sql_finetune",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | translation | charanhu | null | null | charanhu/text_to_sql_3 | 0 | 819 | transformers | 2023-01-26T07:40:12 | ---
tags:
- autotrain
- translation
language:
- unk
- unk
datasets:
- charanhu/autotrain-data-text_to_sql_finetune
co2_eq_emissions:
emissions: 20.566492426746724
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 3073487570
- CO2 Emissions (in grams): 20.5665
## Validation Metrics
- Loss... | 365 | [
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-0.027984619140625,
0.025177001953125,
-0.0467529296875,
-0.030181884765625,
-0.04971313... |
rinna/youri-7b-instruction | 2023-10-31T00:34:26.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"dataset:databricks/databricks-dolly-15k",
"dataset:kunishou/databricks-dolly-15k-ja",
"dataset:izumi-lab/llm-japanese-dataset",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/youri-7b-instruction | 11 | 819 | transformers | 2023-10-30T15:13:44 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: llama2
language:
- ja
- en
inference: false
datasets:
- databricks/databricks-dolly-15k
- kunishou/databricks-dolly-15k-ja
- izumi-lab/llm-japanese-dataset
---
# `rinna/youri-7b-instruction`
... | 4,808 | [
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-0.044097900390625,
... |
Meli/GPT2-Prompt | 2021-05-21T10:55:36.000Z | [
"transformers",
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Meli | null | null | Meli/GPT2-Prompt | 11 | 818 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
tags:
- gpt2
- text-generation
pipeline_tag: text-generation
widget:
- text: "A person with a high school education gets sent back into the 1600s and tries to explain science and technology to the people. [endprompt]"
- text: "A kid doodling in a math class accidentally creates the world's first fun... | 893 | [
[
-0.035247802734375,
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-0.0014295578002929688,
-0.0245361328125,
0.007617950439453125,
0.0155181884765625,
-0.055877685546875,
-0.01189422607421875,
-0.04852294921875,
... |
facebook/m2m100-12B-last-ckpt | 2023-01-24T17:03:07.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"m2m100-12B",
"multilingual",
"af",
"am",
"ar",
"ast",
"az",
"ba",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"ff",
"fi",
"fr",
"fy",
"g... | text2text-generation | facebook | null | null | facebook/m2m100-12B-last-ckpt | 23 | 818 | transformers | 2022-03-12T00:28:28 | ---
language:
- multilingual
- af
- am
- ar
- ast
- az
- ba
- be
- bg
- bn
- br
- bs
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- es
- et
- fa
- ff
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- ht
- hu
- hy
- id
- ig
- ilo
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- lb
- lg
- ln
- lo
- lt
- lv
- mg
- mk
- ... | 4,570 | [
[
-0.033843994140625,
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0.03265380859375,
0.024139404296875,
-0.0504150390625,
-0.041961669921875,
-0.0560302734375,
... |
timm/vit_small_patch32_224.augreg_in21k | 2023-05-06T00:29:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_patch32_224.augreg_in21k | 0 | 818 | timm | 2022-12-22T07:55:11 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_small_patch32_224.augreg_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, porte... | 3,802 | [
[
-0.0396728515625,
-0.02899169921875,
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-0.0265655517578125,
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-0.02386474609375,
-0.03631591796875,
0.0133209228515625,
0.0222625732421875,
-0.03887939453125,
-0.034637451171875,
-0.046539306640625,
... |
mann-e/mann-e_5-new-merge-1 | 2023-07-21T19:24:29.000Z | [
"diffusers",
"text-to-image",
"license:mit",
"region:us"
] | text-to-image | mann-e | null | null | mann-e/mann-e_5-new-merge-1 | 0 | 817 | diffusers | 2023-07-21T19:12:34 | ---
license: mit
library_name: diffusers
pipeline_tag: text-to-image
---
# Mann-E 5 Merge 1
This is only the checkpoint file and will be deprecated soon. | 155 | [
[
-0.0321044921875,
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0.0166778564453125,
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0.052001953125,
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0.0538330078125,
-0.086181640625,
-0.0343017578125,
-0.04437255859375,
-0.0057601928... |
TencentARC/t2i-adapter-openpose-sdxl-1.0 | 2023-09-07T19:13:00.000Z | [
"diffusers",
"art",
"t2i-adapter",
"image-to-image",
"stable-diffusion-xl-diffusers",
"stable-diffusion-xl",
"arxiv:2302.08453",
"license:apache-2.0",
"has_space",
"diffusers:T2IAdapter",
"region:us"
] | image-to-image | TencentARC | null | null | TencentARC/t2i-adapter-openpose-sdxl-1.0 | 14 | 817 | diffusers | 2023-09-07T14:59:38 | ---
license: apache-2.0
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- art
- t2i-adapter
- image-to-image
- stable-diffusion-xl-diffusers
- stable-diffusion-xl
---
# T2I-Adapter-SDXL - Openpose
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a di... | 8,886 | [
[
-0.04730224609375,
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0.0007042884826660156,
-0.051361083984375,
-0.0360107421875,
-0.04595947265625,
-0.007... |
IlyaGusev/rut5_base_sum_gazeta | 2022-07-13T15:36:04.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"summarization",
"ru",
"dataset:IlyaGusev/gazeta",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | IlyaGusev | null | null | IlyaGusev/rut5_base_sum_gazeta | 4 | 816 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
tags:
- summarization
- t5
datasets:
- IlyaGusev/gazeta
license:
- apache-2.0
inference:
parameters:
no_repeat_ngram_size: 4
widget:
- text: "Высота башни составляет 324 метра (1063 фута), примерно такая же высота, как у 81-этажного здания, и самое высокое сооружение в Париже. Его основание ква... | 10,107 | [
[
-0.027740478515625,
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-0.004222869873046875,
-0.0401611328125,
-0.04296875,
-0.05438232421875,
0.001070976... |
PlanTL-GOB-ES/gpt2-base-bne | 2022-11-24T14:50:53.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"national library of spain",
"spanish",
"bne",
"gpt2-base-bne",
"es",
"dataset:bne",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | PlanTL-GOB-ES | null | null | PlanTL-GOB-ES/gpt2-base-bne | 10 | 816 | transformers | 2022-03-02T23:29:04 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "gpt2-base-bne"
datasets:
- "bne"
widget:
- text: "El modelo del lenguaje GPT es capaz de"
- text: "La Biblioteca Nacional de España es una entidad pública y sus fines son"
---
# GPT2-base (gpt2-base-bne) traine... | 11,944 | [
[
-0.026458740234375,
-0.0419921875,
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0.02197265625,
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-0.0123291015625,
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0.0091094970703125,
0.025909423828125,
-0.036102294921875,
-0.05322265625,
-0.05902099609375,
0.016052246... |
recobo/agriculture-bert-uncased | 2021-10-08T13:50:49.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"agriculture-domain",
"agriculture",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | fill-mask | recobo | null | null | recobo/agriculture-bert-uncased | 4 | 816 | transformers | 2022-03-02T23:29:05 | ---
language: "en"
tags:
- agriculture-domain
- agriculture
- fill-mask
widget:
- text: "[MASK] agriculture provides one of the most promising areas for innovation in green and blue infrastructure in cities."
---
# BERT for Agriculture Domain
A BERT-based language model further pre-trained from the checkpoint of [SciBE... | 1,572 | [
[
-0.0169219970703125,
-0.060882568359375,
0.021881103515625,
0.031097412109375,
-0.00041365623474121094,
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-0.0112457275390625,
-0.046539306640625,
0.0175628662109375,
0.05340576171875,
-0.04266357421875,
-0.036651611328125,
-0.056121826171875,
... |
textattack/roberta-base-imdb | 2021-05-20T22:16:19.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/roberta-base-imdb | 0 | 816 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `roberta-base` model was fine-tuned for sequence classification using TextAttack
and the imdb dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 64, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a classifi... | 607 | [
[
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-0.0093231201171875,
-0.033721923828125,
-0.01045989990234375,
0.033203125,
-0.044464111328125,
-0.04937744140625,
-0.05084228515625,
0.... |
ufal/eleczech-lc-small | 2023-01-12T16:01:09.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"Czech",
"Electra",
"ÚFAL",
"cs",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | ufal | null | null | ufal/eleczech-lc-small | 0 | 816 | transformers | 2022-04-24T11:32:43 | ---
language: "cs"
tags:
- Czech
- Electra
- ÚFAL
license: "cc-by-nc-sa-4.0"
---
# EleCzech-LC model
THe `eleczech-lc-small` is a monolingual small Electra language representation
model trained on lowercased Czech data (but with diacritics kept in place).
It is trained on the same data as the
[RobeCzech model](https... | 360 | [
[
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0.043853759765625,
0.045806884765625,
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0.0... |
rinna/japanese-stable-diffusion | 2023-05-08T00:16:04.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"ja",
"japanese",
"arxiv:2112.10752",
"arxiv:2205.12952",
"license:other",
"has_space",
"diffusers:JapaneseStableDiffusionPipeline",
"region:us"
] | text-to-image | rinna | null | null | rinna/japanese-stable-diffusion | 167 | 816 | diffusers | 2022-09-06T08:48:07 | ---
language: ja
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- ja
- japanese
inference: true
extra_gated_prompt: |-
One more step before getting this model.
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usa... | 10,376 | [
[
-0.030242919921875,
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0.03424072265625,
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-0.0430908203125,
-0.054718017578125,
-... |
afshan2003/wildlife | 2023-11-06T06:59:52.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | afshan2003 | null | null | afshan2003/wildlife | 0 | 816 | diffusers | 2023-11-06T06:52:11 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Wildlife Dreambooth model trained by afshan2003 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-207
Sample pictures of this concept:
![0](https://huggingface.co... | 411 | [
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0.016220092... |
Helsinki-NLP/opus-mt-sn-en | 2023-08-16T12:04:19.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-sn-en | 0 | 815 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sn-en
* source languages: sn
* target languages: en
* OPUS readme: [sn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
[
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0.039794921875,
-0.05181884765625,
-0.038604736328125,
-0.0506591796875,
0.0242... |
deep-learning-analytics/GrammarCorrector | 2021-12-23T02:51:34.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | deep-learning-analytics | null | null | deep-learning-analytics/GrammarCorrector | 9 | 815 | transformers | 2022-03-02T23:29:05 | ## Model description
T5 model trained for Grammar Correction. This model corrects grammatical mistakes in input sentences
### Dataset Description
The T5-base model has been trained on C4_200M dataset.
### Model in Action 🚀
```
import torch
from transformers import T5Tokenizer, T5ForConditionalGeneration
model_name =... | 1,357 | [
[
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-0.019989013671875,
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0.0135345458984375,
-0.048095703125,
-0.06005859375,
-0.042144775390625,
... |
flax-community/t5-recipe-generation | 2023-08-03T00:04:15.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"seq2seq",
"text-generation",
"recipe-generation",
"en",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | flax-community | null | null | flax-community/t5-recipe-generation | 28 | 815 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- seq2seq
- t5
- text-generation
- recipe-generation
pipeline_tag: text2text-generation
widget:
- text: "provolone cheese, bacon, bread, ginger"
- text: "sugar, crunchy jif peanut butter, cornflakes"
- text: "sweet butter, confectioners sugar, flaked coconut, condensed milk, nuts, vanilla, ... | 8,685 | [
[
-0.04022216796875,
-0.046722412109375,
0.0169525146484375,
0.0191192626953125,
0.0136871337890625,
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0.005123138427734375,
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0.039031982421875,
0.04071044921875,
-0.046051025390625,
-0.04486083984375,
-0.0491943359375,
... |
timm/tf_efficientnet_b1.aa_in1k | 2023-04-27T21:17:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1805.09501",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b1.aa_in1k | 2 | 815 | timm | 2022-12-13T00:01:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b1.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,489 | [
[
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-0.041717529296875,
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0.0070037841796875,
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0.01390838623046875,
0.0241241455078125,
-0.029388427734375,
-0.04425048828125,
-0.0565185546875,... |
seeklhy/codes-7b | 2023-09-04T12:38:34.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"SQL generation",
"Text-to-SQL",
"text2sql",
"sql",
"code",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | seeklhy | null | null | seeklhy/codes-7b | 0 | 815 | transformers | 2023-08-27T09:56:37 | ---
language:
- sql
- code
tags:
- SQL generation
- Text-to-SQL
- text2sql
license: "apache-2.0"
---
# CodeS-7B
CodeS is a series of Code LLMs specifically optimized for SQL generation.
The CodeS encompasses 1B, 3B, 7B, and 15B scales. CodeS-1B, 3B, and 7B are incrementally pre-trained on the top of StarCoderBase-1... | 758 | [
[
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0.00400543212890625,
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0.0601806640625,
-0.04559326171875,
-0.03192138671875,
-0.0242462158203125,
0.0494384765625,
... |
hubkrieb/RSAFI-1 | 2023-10-24T15:11:31.000Z | [
"diffusers",
"tensorboard",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | hubkrieb | null | null | hubkrieb/RSAFI-1 | 0 | 815 | diffusers | 2023-10-23T14:31:25 | ---
license: creativeml-openrail-m
---
# Diffusion Model based Data Augmentation for Remote Sensing Imagery
Master Thesis of Hubert Kriebitzsch at the TU Berlin Faculty IV Computer Vision and Remote Sensing Department ([GitHub repository](https://github.com/hubkrieb/remote-sensing-diffusion))
## Abstract
Data augment... | 2,326 | [
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-0.007007598876953125,
0.0012559890747070312,
-0.0017251968383789062,
-0.0286865234375,
-0.00008380413055419922,
0.0338134765625,
-0.0343017578125,
-0.032958984375,
-0.0263824462890625... |
hubkrieb/RSAFI-1.5 | 2023-10-24T15:11:12.000Z | [
"diffusers",
"tensorboard",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | hubkrieb | null | null | hubkrieb/RSAFI-1.5 | 0 | 815 | diffusers | 2023-10-23T15:52:51 | ---
license: creativeml-openrail-m
---
# Diffusion Model based Data Augmentation for Remote Sensing Imagery
Master Thesis of Hubert Kriebitzsch at the TU Berlin Faculty IV Computer Vision and Remote Sensing Department ([GitHub repository](https://github.com/hubkrieb/remote-sensing-diffusion))
## Abstract
Data augment... | 2,469 | [
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0.034942626953125,
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-0.0357666015625,
-0.02685546875,
-... |
kmayama2/chanaka | 2023-07-26T06:34:32.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | kmayama2 | null | null | kmayama2/chanaka | 0 | 814 | diffusers | 2023-07-26T06:16:18 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### chanaka Dreambooth model trained by kmayama2 with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own using th... | 516 | [
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0.0338134765625,
-0.0188140869140625,
0.058135986328125,
0.0159759521484375,
-0.02899169921875,
-0.0249481201171875,
-0.037567138671875,
-0.03... |
TheBloke/Llama-2-7B-GGUF | 2023-10-24T07:32:45.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-GGUF | 56 | 814 | transformers | 2023-09-04T15:53:57 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B
base_model: meta-llama/Llama-2-7b-hf
inference: false
model_creator: Meta
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 2... | 25,444 | [
[
-0.04937744140625,
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0.019195556640625,
0.033203125,
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0.007282257080078125,
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0.044036865234375,
0.012603759765625,
-0.054656982421875,
-0.039459228515625,
-0.04071044921875,
0.01078033... |
abbasgolestani/ag-nli-DeTS-sentence-similarity-v1 | 2023-10-17T15:31:04.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"feature-extraction",
"sentence-similarity",
"en",
"nl",
"de",
"fr",
"it",
"es",
"dataset:multi_nli",
"dataset:pietrolesci/nli_fever",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | abbasgolestani | null | null | abbasgolestani/ag-nli-DeTS-sentence-similarity-v1 | 0 | 814 | transformers | 2023-10-06T16:58:30 | ---
license: apache-2.0
datasets:
- multi_nli
- pietrolesci/nli_fever
pipeline_tag: text-classification
tags:
- feature-extraction
- sentence-similarity
- transformers
language:
- en
- nl
- de
- fr
- it
- es
---
# Cross-Encoder for Sentence Similarity
This model was trained using [SentenceTransformers](https://sbert.n... | 2,169 | [
[
-0.006313323974609375,
-0.028778076171875,
0.0207672119140625,
0.0281982421875,
0.004261016845703125,
-0.0114898681640625,
-0.005615234375,
-0.024932861328125,
0.006183624267578125,
0.037841796875,
-0.053863525390625,
-0.0439453125,
-0.04412841796875,
0.0234... |
THUDM/glm-roberta-large | 2023-03-02T13:52:52.000Z | [
"transformers",
"pytorch",
"glm",
"feature-extraction",
"thudm",
"custom_code",
"en",
"arxiv:2103.10360",
"region:us"
] | feature-extraction | THUDM | null | null | THUDM/glm-roberta-large | 4 | 813 | transformers | 2023-03-01T04:19:35 | ---
language:
- en
tags:
- glm
- thudm
---
GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language understanding and generation tasks.
Please refer to our paper for a detailed description of GLM:
[GLM: General Language Model Pretrainin... | 2,001 | [
[
-0.01763916015625,
-0.07733154296875,
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0.006015777587890625,
-0.0284576416015625,
-0.0094757080078125,
-0.0107269287109375,
-0.031890869140625,
-0.0006756782531738281,
0.044708251953125,
-0.04345703125,
-0.034881591796875,
-0.029693603515625,
... |
shantanudave/autotrain-adv-15sept | 2023-09-15T23:26:20.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"has_space",
"region:us"
] | text-to-image | shantanudave | null | null | shantanudave/autotrain-adv-15sept | 1 | 813 | diffusers | 2023-09-15T23:26:18 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of a sdaveshantanu
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 237 | [
[
0.00485992431640625,
-0.01181793212890625,
0.015594482421875,
0.00894927978515625,
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0.035552978515625,
-0.00023663043975830078,
-0.03582763671875,
-0.002948760986328125,
-0.05975341796... |
asi/gpt-fr-cased-base | 2022-10-20T18:32:14.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"fr",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | asi | null | null | asi/gpt-fr-cased-base | 26 | 812 | transformers | 2022-03-02T23:29:05 | ---
language:
- fr
thumbnail: https://raw.githubusercontent.com/AntoineSimoulin/gpt-fr/main/imgs/logo.png
tags:
- tf
- pytorch
- gpt2
- text-generation
model-index:
- name: asi/gpt-fr-cased-base
results:
- task:
type: text-generation
name: Wikitext-fr
dataset:
type: wikitext_fr
name: Wi... | 8,851 | [
[
-0.03680419921875,
-0.059967041015625,
0.028045654296875,
0.0111846923828125,
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-0.0345458984375,
-0.02703857421875,
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0.0228118896484375,
-0.026123046875,
-0.0345458984375,
-0.051849365234375,
0.0186... |
lewtun/my-awesome-setfit-model | 2022-09-18T21:27:15.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | lewtun | null | null | lewtun/my-awesome-setfit-model | 2 | 812 | sentence-transformers | 2022-09-18T21:27:07 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,694 | [
[
-0.0208282470703125,
-0.05731201171875,
0.0213775634765625,
0.02197265625,
-0.0210113525390625,
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-0.01560211181640625,
0.0042572021484375,
0.016510009765625,
0.0284271240234375,
-0.0478515625,
-0.044708251953125,
-0.05377197265625,
-0.00237... |
digiplay/2K-VAE | 2023-11-01T18:54:27.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | digiplay | null | null | digiplay/2K-VAE | 0 | 812 | diffusers | 2023-11-01T15:01:06 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
2K+840000VAE merged
![d8ccb2ed-7eb4-4a05-99e6-aaf1bae72d82.jpeg](https:... | 797 | [
[
-0.049774169921875,
-0.01331329345703125,
0.0167388916015625,
0.01522064208984375,
-0.033203125,
0.0083465576171875,
0.0148773193359375,
-0.045745849609375,
0.034332275390625,
0.046478271484375,
-0.04339599609375,
-0.0170440673828125,
-0.0687255859375,
-0.00... |
timm/poolformer_s12.sail_in1k | 2023-05-05T06:16:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/poolformer_s12.sail_in1k | 0 | 811 | timm | 2023-05-05T06:16:43 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for poolformer_s12.sail_in1k
A PoolFormer (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbo... | 3,743 | [
[
-0.035400390625,
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0.0126190185546875,
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0.04022216796875,
-0.041595458984375,
-0.05499267578125,
-0.056121826171875,
-0.01... |
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