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text-generation | transformers |
# Gemma Ko 7B Instruct v0.62
- Eval Loss: `1.2946`
- Train Loss: `1.1717`
- lr: `2e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 7B Ins... | {"language": ["ko", "en"], "license": "other", "library_name": "transformers", "tags": ["korean", "gemma", "pytorch"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation", "base_model": "openchat/openchat-3.5-0106-gemma"} | lemon-mint/gemma-ko-7b-instruct-v0.62 | null | [
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|
!image/jpeg
# Gemma Ko 7B Instruct v0.62
- Eval Loss: '1.2946'
- Train Loss: '1.1717'
- lr: '2e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 7B Instruct v0.62 model is designed for generating human-like text in the Korean language.
It can be used for a var... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v2 | null | [
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null | transformers | Its all in the mind !
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q5_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_3_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyb... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "unsloth", "llama-cpp"], "base_model": ["LeroyDyer/Mixtral_AI_CyberBrain_2.0", "ezelikman/quietstar-8-ahead"]} | LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q5_K_S-GGUF | null | [
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| Its all in the mind !
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q5_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_3_0' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6389d3c61e8755d777902366/-_AiKUEsY3x-N7oY52fdE.jpeg" style="border-radius:2%; width: 66%">
# pandafish-dt-7b
pandafish-dt-7b is a `dare_ties` merge of `Experiment26-7B` and `MergeCeption-7B-v3` using `LazyMergekit` by [mlabonne](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "CultriX/MergeCeption-7B-v3"], "base_model": ["CultriX/MergeCeption-7B-v3"]} | ichigoberry/pandafish-dt-7b | null | [
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| <img src="URL style="border-radius:2%; width: 66%">
pandafish-dt-7b
===============
pandafish-dt-7b is a 'dare\_ties' merge of 'Experiment26-7B' and 'MergeCeption-7B-v3' using 'LazyMergekit' by mlabonne
Try it
------
Playground on Huggingface Space
Quantized models
----------------
* GGUF: ichigoberry/panda... | [] | [
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image-feature-extraction | transformers | This repository contains Microsoft's [BiomedCLIP](https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224) converted to the Hugging Face format to simplify access.
All credits go to BiomedCLIP:
```bibtex
@misc{https://doi.org/10.48550/arXiv.2303.00915,
doi = {10.48550/ARXIV.2303.00915},
u... | {"license": "mit"} | ikim-uk-essen/BiomedCLIP_ViT_patch16_224 | null | [
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#transformers #pytorch #vit #image-feature-extraction #arxiv-2303.00915 #license-mit #endpoints_compatible #region-us
| This repository contains Microsoft's BiomedCLIP converted to the Hugging Face format to simplify access.
All credits go to BiomedCLIP:
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text-to-image | diffusers | ### My-Pet-Dog-XZG Dreambooth model trained by somyakr1 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 19401012022
Sample pictures of this concept:
![0](https://huggingface.co/somyakr1/my-pet-dog-xzg/resolve/main/sample_images/578784_a_golden_and_white_coloured_pomerian_br... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | somyakr1/my-pet-dog-xzg | null | [
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| ### My-Pet-Dog-XZG Dreambooth model trained by somyakr1 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 19401012022
Sample pictures of this concept:
!0
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null | null | Original model: https://huggingface.co/macadeliccc/laser-dolphin-mixtral-4x7b-dpo
| {} | kyynaama/laser-dolphin-mixtral-4x7b-dpo.GGUF | null | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_3_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0) for more det... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "unsloth", "llama-cpp"], "base_model": ["LeroyDyer/Mixtral_AI_CyberBrain_2.0", "ezelikman/quietstar-8-ahead"]} | LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_S-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_3_0' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | muzammil-eds/roberta-large-news-relevance-v1 | null | [
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audio-classification | transformers |
<!-- 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. -->
# wav2vec2-large-xlsr-53-english-ser-cosine
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "audio", "automatic-speech-recognition", "speech", "speech-emotion-recognition", "audio-classification"], "metrics": ["accuracy"], "widget": [{"example_title": "IEMOCAP clip \"happy\"", "src": "https://cdn-media.huggingface.co/speech_samples/IEMOCAP_Ses01F_im... | m3hrdadfi/ser | null | [
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| wav2vec2-large-xlsr-53-english-ser-cosine
=========================================
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4677
* Accuracy: 0.8677
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/microsoft-phi-1_5-bnb-8bit-smashed | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/eelxpeng/CodeLlama-34b-Python-SelfDebug-SFT
<!-- provided-files -->
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null | peft |
<!-- 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. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | asya1610/mistral_instruct_generation | null | [
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|
# mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2229
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training a... | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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null | peft |
<!-- 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. -->
# phi-1_5-finetuned-aqua-rat-teacher-AM-1k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micros... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-AM-1k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-1k | null | [
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|
# phi-1_5-finetuned-aqua-rat-teacher-AM-1k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bigcode/starcoder2-15b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. ... | {"language": ["en"], "license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code"], "datasets": ["bigcode/the-stack-v2-train"], "base_model": "bigcode/starcoder2-15b", "quantized_by": "mradermacher"} | mradermacher/starcoder2-15b-GGUF | null | [
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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-----
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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null | transformers |
# Model Card for Model ID
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text-generation | null | # jondurbin/bagel-dpo-34b-v0.5 Exl2
- Model creator: [jondurbin](https://huggingface.co/jondurbin)
- Original model: [bagel-dpo-34b-v0.5](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5)
## Model Summary
This is a fine-tune of the updated yi-34b-200k with better long-context support.
See [b... | {"license": "other", "tags": ["quantized", "chatml"], "datasets": ["allenai/ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistr... | Suparious/bagel-dpo-34b-v0.5-exl2 | null | [
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=================================
* Model creator: jondurbin
* Original model: bagel-dpo-34b-v0.5
!bagel
Model Summary
-------------
This is a fine-tune of the updated yi-34b-200k with better long-context support.
See bagel for additional details on the datasets.
This is th... | [] | [
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text-classification | transformers |
<!-- 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. -->
# bert-base-cola
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-cola", "results": []}]} | Cheng98/bert-base-cola | null | [
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"region:us"
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| bert-base-cola
==============
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4842
* Accuracy: 0.8351
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi-1_5-finetuned-aqua-rat-teacher-AM-3k
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This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
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More information needed
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More information needed
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text-generation | transformers | <!-- header start -->
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null | peft |
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null | transformers |
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text-generation | transformers | # EEVE-LLaVA-2.8B-stage2
## EEVE-LLaVA-2.8B-stage2
***This model is finetuned using [EEVE-LLaVA-Pretrain-2.8B](https://huggingface.co/Nagase-Kotono/EEVE-LLaVA-Pretrain-2.8B).***
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!이미지
## EEVE-LLaVA-2.8B-stage2
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"dataset:Open-Orca/SlimOrca",
"base_model:Intel/neural-chat-7b-v3-1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T12:09:19+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #LLMs #mistral #Intel #en #dataset-Open-Orca/SlimOrca #base_model-Intel/neural-chat-7b-v3-1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #LLMs #mistral #Intel #en #dataset-Open-Orca/SlimOrca #base_model-Intel/neural-chat-7b-v3-1 #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
# Nous-Hermes-2-Pro_into_Dolphin_Mistral_2.8_v02
Nous-Hermes-2-Pro_into_Dolphin_Mistral_2.8_v02 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/co... | {"tags": ["merge", "mergekit", "lazymergekit", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Hermes-2-Pro-Mistral-7B"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | 00000-X/Nous-Hermes-2-Pro_into_Dolphin_Mistral_2.8_v02 | null | [
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"mistral",
"text-generation",
"merge",
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"cognitivecomputations/dolphin-2.8-mistral-7b-v02",
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"conversational",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"base_model:NousResearc... | null | 2024-04-03T12:10:43+00:00 | [] | [] | TAGS
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# Nous-Hermes-2-Pro_into_Dolphin_Mistral_2.8_v02
Nous-Hermes-2-Pro_into_Dolphin_Mistral_2.8_v02 is a merge of the following models using LazyMergekit:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* NousResearch/Hermes-2-Pro-Mistral-7B
## Configuration
## Usage
| [
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text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.4
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tra... | {"language": ["en"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.4 | null | [
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"license:cc-by-nc-4.0",
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"text-generation-inference",
"region:us"
] | null | 2024-04-03T12:10:47+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.4
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tra... | [
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token-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning mo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["ACCORD-NLP/CODE-ACCORD-Entities"]} | ACCORD-NLP/ner-bert-large | null | [
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"bert",
"token-classification",
"en",
"dataset:ACCORD-NLP/CODE-ACCORD-Entities",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T12:10:56+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #token-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Entities #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning models to perform the following... | [
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.\nIt consists of several pre-trained/fine-tuned machine learning models to perform the fo... | [
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text-generation | transformers |
<!-- 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. -->
# DialoGPT_EmpAI_DefPrueba2
This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/Dia... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/DialoGPT-medium", "model-index": [{"name": "DialoGPT_EmpAI_DefPrueba2", "results": []}]} | LuangMV97/DialoGPT_EmpAI_DefPrueba2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T12:11:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #conversational #base_model-microsoft/DialoGPT-medium #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| DialoGPT\_EmpAI\_DefPrueba2
===========================
This model is a fine-tuned version of microsoft/DialoGPT-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6378
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | SungJinD/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-03T12:12:39+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ichigoberry/pandafish-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "ichigoberry/pandafish-7b", "quantized_by": "mradermacher"} | mradermacher/pandafish-7b-GGUF | null | [
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"merge",
"mergekit",
"lazymergekit",
"en",
"base_model:ichigoberry/pandafish-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T12:13:43+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-ichigoberry/pandafish-7b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-ichigoberry/pandafish-7b #license-apache-2.0 #endpoints_compatible #region-us \n"
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50
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Cartinoe5930/Qwen-Prometheus-1.8B | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T12:15:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- 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. -->
# phi-1_5-finetuned-aqua-rat-teacher-AM-4k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micros... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-AM-4k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-4k | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-03T12:16:24+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-teacher-AM-4k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# phi-1_5-finetuned-aqua-rat-teacher-AM-4k\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
[**Join LYNN Discord**](https://discord.gg/xuZVqUyG4Y)
# This is RP(ERP) only model. Use with **CAUTION**
# **Open lynn A2.7B rp v1**
<img src="./lynn.webp" alt="lynn image" width="390"/>
## Model Description
Open version of Lynn Series. Based on Qwen 1.5 A2.7B, it supports 32k context length.
## Template
ChatML | {"license": "cc-by-sa-4.0", "tags": ["not-for-all-audiences"]} | openlynn/lynn-A2.7B-rp-v1 | null | [
"transformers",
"safetensors",
"qwen2_moe",
"text-generation",
"not-for-all-audiences",
"conversational",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T12:17:05+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2_moe #text-generation #not-for-all-audiences #conversational #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
Join LYNN Discord
# This is RP(ERP) only model. Use with CAUTION
# Open lynn A2.7B rp v1
<img src="./URL" alt="lynn image" width="390"/>
## Model Description
Open version of Lynn Series. Based on Qwen 1.5 A2.7B, it supports 32k context length.
## Template
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"# This is RP(ERP) only model. Use with CAUTION",
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text2text-generation | transformers |
<!-- 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. -->
# m2m100_418M-correction
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M)... | {"license": "mit", "tags": ["correction", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/m2m100_418M", "model-index": [{"name": "m2m100_418M-correction", "results": []}]} | Mamadou2727/m2m100_418M-correction | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
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| m2m100\_418M-correction
=======================
This model is a fine-tuned version of facebook/m2m100\_418M on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0214
* Bleu: 98.6803
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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text-generation | transformers |
<!-- 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. -->
# distilgpt2-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-github_cybersecurity_READMEs", "results": []}]} | shcapybara0925/distilgpt2-finetuned-github_cybersecurity_READMEs | null | [
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| distilgpt2-finetuned-github\_cybersecurity\_READMEs
===================================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1579
* F1: 0.0127
Model description
-----------------
More informatio... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["openchat", "mistral", "C-RLFT"], "model_name": "Openchat 3.5 0106", "base_model": "openchat/openchat-3.5-0106", "inference": false, "model_creator": "OpenChat", "model_type": "mistral", "pipeline_tag": "text-generation", "prompt_template": "GPT4 Correc... | zeio/openchat-3.5-0106-GPTQ | null | [
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|
[[TheBloke's LLM work is generously supported by a grant from [andreessen horowitz (a16z)](URL)](URL to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style=)](URL & support: TheBloke's Discord server</a></p>
</div>
<div style=)
---
Openchat 3.5 0106 - GPTQ
... | [
"### In text-generation-webui\n\n\nTo download from the 'main' branch, enter 'TheBloke/openchat-3.5-0106-GPTQ' in the \"Download model\" box.\n\n\nTo download from another branch, add ':branchname' to the end of the download name, eg 'TheBloke/openchat-3.5-0106-GPTQ:gptq-4bit-32g-actorder\\_True'",
"### From the ... | [
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text-generation | transformers |
# Model Card for Model ID
This model is GPT2-large fine-tuned on a dataset consisting of ~15,000 poems from poetryfoundation.org. | {"library_name": "transformers", "tags": []} | jacquelinegrimm/poetrybot-gpt2-large | null | [
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#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
This model is GPT2-large fine-tuned on a dataset consisting of ~15,000 poems from URL. | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-mixtral7x8b-math | null | [
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] | null | 2024-04-03T12:29:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mixtral #text-generation #autotrain #text-generation-inference #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lanczos/myBit-Llama2-127M | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"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": "LunarL... | Tevelev/ppo-LunarLander-v2 | null | [
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-to-image | null | ### My-Sneakers Dreambooth model trained by Dyarvo-1927 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
.jpg)
![1](https://hu... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Dyarvo-1927/my-sneakers | null | [
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#safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #region-us
| ### My-Sneakers Dreambooth model trained by Dyarvo-1927 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
!0.jpg)
!1.jpg)
!2.jpg)
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!4.jpg)
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - iEmbrion/grizzly_LoRA
<Gallery />
## Model description
These are iEmbrion/grizzly_LoRA LoRA ad... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of TOK grizzly",... | iEmbrion/grizzly_LoRA | null | [
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"stable-diffusion-xl",
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-03T12:34:01+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - iEmbrion/grizzly_LoRA
<Gallery />
## Model description
These are iEmbrion/grizzly_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["medical", "text-generation-inference"], "pipeline_tag": "text-generation"} | hamxea/Mistral-7B-Instruct-v0.2-activity-fine-tuned-v1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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summarization | transformers |
# Model Card for mT5-base-HunSum-2
The mT5-base-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the [SZTAKI-HLT/HunSum-2-abstractive dataset](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-abstractive).
The model is based on [google/mt5-base](https://huggingface.co/google/mt5-base).... | {"language": ["hu"], "license": "apache-2.0", "datasets": ["SZTAKI-HLT/HunSum-2-abstractive"], "metrics": ["rouge"], "pipeline_tag": "summarization", "inference": {"parameters": {"num_beams": 5, "length_penalty": 2, "max_length": 128, "encoder_no_repeat_ngram_size": 4, "no_repeat_ngram_size": 3}}} | SZTAKI-HLT/mT5-base-HunSum-2 | null | [
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| Model Card for mT5-base-HunSum-2
================================
The mT5-base-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the SZTAKI-HLT/HunSum-2-abstractive dataset.
The model is based on google/mt5-base.
Intended uses & limitations
---------------------------
* Model type: Tex... | [] | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | areegtarek/siglip-nih-5 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-animal_9009_bart-base | null | [
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# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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text-classification | transformers |
<!-- 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. -->
# infoxlm-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of [microsoft/infoxlm-large](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/infoxlm-large", "model-index": [{"name": "infoxlm-large-guardrail-toxicity-classifier-training", "results": []}]} | jamesoneill12/infoxlm-large-guardrail-toxicity-classifier-training | null | [
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|
# infoxlm-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of microsoft/infoxlm-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text2text-generation | transformers |
# Model Card for Bert2Bert-HunSum-2
The Bert2Bert-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the [SZTAKI-HLT/HunSum-2-abstractive dataset](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-abstractive).
The model is based on [SZTAKI-HLT/hubert-base-cc](https://huggingface.co/SZTAK... | {"language": ["hu"], "license": "apache-2.0", "tags": ["hubert", "bert", "summarization"], "datasets": ["SZTAKI-HLT/HunSum-2-abstractive"], "metrics": ["rouge"], "pipeline_tag": "text2text-generation", "inference": {"parameters": {"num_beams": 5, "length_penalty": 2, "max_length": 128, "no_repeat_ngram_size": 3, "early... | SZTAKI-HLT/Bert2Bert-HunSum-2 | null | [
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| Model Card for Bert2Bert-HunSum-2
=================================
The Bert2Bert-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the SZTAKI-HLT/HunSum-2-abstractive dataset.
The model is based on SZTAKI-HLT/hubert-base-cc.
Intended uses & limitations
---------------------------
* Mo... | [] | [
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token-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning mo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["ACCORD-NLP/CODE-ACCORD-Entities"]} | ACCORD-NLP/ner-albert-large | null | [
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|
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
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text-generation | transformers |
# Meerkat-7B (Version 1.0)
<center><img src = "https://cdn-uploads.huggingface.co/production/uploads/5efbdc4ac3896117eab961a9/IH0nR9HxYwNvrJBjP2dYQ.png" width="200" height="200"></center>
🚀 Meerkat-7B-v1.0 is an instruction-tuned medical AI system that surpasses the passing threshold of 60% for the United States M... | {"license": "cc-by-nc-4.0", "tags": ["medical", "small LM", "instruction-tuned", "usmle", "chain-of-thought", "synthetic data"], "pipeline_tag": "text-generation"} | dmis-lab/meerkat-7b-v1.0 | null | [
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# Meerkat-7B (Version 1.0)
<center><img src = "URL width="200" height="200"></center>
Meerkat-7B-v1.0 is an instruction-tuned medical AI system that surpasses the passing threshold of 60% for the United States Medical Licensing Examination (USMLE) for the first time among all 7B-parameter models.
The model was tr... | [
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image-classification | transformers |
<!-- 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. -->
# vit-base-melSpecImagesCREMA
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goo... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-melSpecImagesCREMA", "results": []}]} | Supreeta03/vit-base-melSpecImagesCREMA | null | [
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| vit-base-melSpecImagesCREMA
===========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Supreeta03/CREMA-melSpecImages dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1416
* Accuracy: 0.5808
Model description
-----------------
More infor... | [
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text2text-generation | transformers |
<!-- 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. -->
# wiki_asp-soccer_player_8248_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-soccer_player_8248_bart-base", "results": []}]} | baek26/wiki_asp-soccer_player_8248_bart-base | null | [
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| wiki\_asp-soccer\_player\_8248\_bart-base
=========================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3433
* Rouge1: 0.1482
* Rouge2: 0.046
* Rougel: 0.1233
* Rougelsum: 0.1234
* Gen Len:... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/cahya-gpt2-small-indonesian-522M-bnb-4bit-smashed | null | [
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![Twitter](URL
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![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mssfj/fj-0403wiki1m0.125B | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # IceLemonTeaRP-32k-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
I would suggest to play with rope_theta in config.json to set betwe... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["icefog72/Kunokukulemonchini-32k-7b", "icefog72/Mixtral_AI_Cyber_3.m1-BigL", "grimjim/kukulemon-32K-7B", "LeroyDyer/Mixtral_AI_Cyber_3.m1", "Nitral-AI/Kunocchin... | icefog72/IceLemonTeaRP-32k-7b | null | [
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====================
!image/png
This is a merge of pre-trained language models created using mergekit.
I would suggest to play with rope\_theta in URL to set between 40000-100000.
Merge Details
-------------
Cooked merge from fresh ingredients to fix icefog72/IceTeaRP-7b repetition proble... | [
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automatic-speech-recognition | ctranslate2 |
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# Fine-tuned Polish Aspik101/distil-whisper-large-v3-pl model for CTranslate2
This repository contains the [Aspik101/distil-whisper-large-v3-pl](https://huggingface.co/Aspik101/distil-whisper-large-v3-pl) model converted to the [CTranslate2](https://github.com/OpenNMT/CTran... | {"language": ["pl"], "license": "apache-2.0", "library_name": "ctranslate2", "tags": ["audio"], "datasets": ["Aspik101/distil-whisper-large-v3-pl"], "pipeline_tag": "automatic-speech-recognition"} | mmalyska/distil-whisper-large-v3-pl-ct2 | null | [
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# Fine-tuned Polish Aspik101/distil-whisper-large-v3-pl model for CTranslate2
This repository contains the Aspik101/distil-whisper-large-v3-pl model converted to the CTranslate2 format.
## Usage
## Conversion
The original model was converted with the following command:... | [
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text-classification | transformers |
<!-- 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. -->
# distilbert-base-uncased_emotion_ft_0403
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1", "precision"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_emotion_ft_0403", "results": [{"task": {"type": "text-classification", "name": "Text Classificatio... | Rw1nd/distilbert-base-uncased_emotion_ft_0403 | null | [
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| distilbert-base-uncased\_emotion\_ft\_0403
==========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
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* Loss: 0.1551
* Accuracy: 0.9355
* F1: 0.9355
* Precision: 0.9172
Model description
... | [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | seenuvasanfoss/fine_tuned_deberta_question_answering_base | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-software_9089_bart-base | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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text2text-generation | transformers |
<!-- 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. -->
# ANIKET_MODEL
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "ANIKET_MODEL", "results": []}]} | AniketArtani/ANIKET_MODEL | null | [
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|
# ANIKET_MODEL
This model is a fine-tuned version of facebook/bart-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "ai-forever/FRED-T5-1.7B"} | SouthMemphis/t5-sber | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Nous-Hermes-2-DPO_into_Dolphin_Mistral_2.8_v02
Nous-Hermes-2-DPO_into_Dolphin_Mistral_2.8_v02 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/co... | {"tags": ["merge", "mergekit", "lazymergekit", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Nous-Hermes-2-Mistral-7B-DPO"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Nous-Hermes-2-Mistral-7B-DPO"]} | 00000-X/Nous-Hermes-2-DPO_into_Dolphin_Mistral_2.8_v02 | null | [
"transformers",
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"text-generation",
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"base_model:NousRe... | null | 2024-04-03T12:52:09+00:00 | [] | [] | TAGS
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# Nous-Hermes-2-DPO_into_Dolphin_Mistral_2.8_v02
Nous-Hermes-2-DPO_into_Dolphin_Mistral_2.8_v02 is a merge of the following models using LazyMergekit:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* NousResearch/Nous-Hermes-2-Mistral-7B-DPO
## Configuration
## Usage
| [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Audino/my-awesome-model | null | [
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"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers | # tori-page
<Gallery />
## Trigger words
You should use `toripage` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/tori-page/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "ToriPage,a woman wearing V-neck tee and jogging pants, bridge, (fill lighting:0.5) <lora:ToriPage:0.9>", "parameters": {"negative_prompt": "paintings, sketches, (worst quality:2), (low quality:2), (normal quali... | MarkBW/tori-page | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # tori-page
<Gallery />
## Trigger words
You should use 'toripage' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | TheSuperGroot/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T12:54:46+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | jtjt520j/mrking_Qwen1.5_7B_chat_text_to_sql | null | [
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"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
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"1910.09700"
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#transformers #safetensors #qwen2 #text-generation #llama-factory #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- 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. -->
# phi-1_5-finetuned-aqua-rat-teacher-AM-5k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micros... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-AM-5k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-5k | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-03T12:55:53+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-teacher-AM-5k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | peft |
<!-- 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. -->
# mistral-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-finetune", "results": []}]} | Ai-Marshal/mistral-finetune | null | [
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| mistral-finetune
================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3252
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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image-segmentation | transformers |
<!-- 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. -->
# segformer-b0-finetuned-agriculture-freeze-encoder
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/n... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-finetuned-agriculture-freeze-encoder", "results": []}]} | imessam/segformer-b0-finetuned-agriculture-freeze-encoder | null | [
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#transformers #safetensors #segformer #vision #image-segmentation #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
| segformer-b0-finetuned-agriculture-freeze-encoder
=================================================
This model is a fine-tuned version of nvidia/mit-b0 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4279
* Mean Iou: 0.2863
* Mean Accuracy: 0.3449
* Overall Accuracy: 0.3991
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-written_work_9465_bart-base | null | [
"transformers",
"safetensors",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T12:58:25+00:00 | [] | [] | TAGS
#transformers #safetensors #trl #ppo #reinforcement-learning #license-apache-2.0 #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DeepeshAlwani/donut | null | [
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers | <p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-7B-Instruct-v0.1-GGUF
This repo contains GGUF format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik... | {"language": ["pl"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["finetuned", "gguf"], "inference": false, "pipeline_tag": "text-generation"} | speakleash/Bielik-7B-Instruct-v0.1-GGUF | null | [
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| <p align="center">
<img src="URL
</p>
# Bielik-7B-Instruct-v0.1-GGUF
This repo contains GGUF format model files for SpeakLeash's Bielik-7B-Instruct-v0.1.
<b><u>DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!</u></b><br>
Simple Colab notebook for testing: URL
... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ValiantLabs/Fireplace-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["fireplace", "function-calling", "code", "code-instruct", "valiant", "valiant-labs", "llama", "llama-2", "llama-2-chat", "13b"], "base_model": "ValiantLabs/Fireplace-13b", "model_type": "llama", "quantized_by": "mradermacher"} | mradermacher/Fireplace-13b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pabloma09/mistral-layout-gen-checkpoint325 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- 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. -->
# CodeLlama-7b-hf_merge
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLla... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "CodeLlama-7b-hf_merge", "results": []}]} | nlux/CodeLlama-7b-hf_merge | null | [
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|
# CodeLlama-7b-hf_merge
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-margin-5-epoch-3
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 clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Trans... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-margin-5-epoch-3 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-base-v2-margin-5-epoch-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sente... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abcfd/gpt_0.125B_global_step200 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "mit", "library_name": "transformers"} | AraikT/model-of-Araik-t5-finetuned_2 | null | [
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text-classification | transformers |
<!-- 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. -->
# xlm-roberta-base-guardrail-toxicity-classifier-training
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](http... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-guardrail-toxicity-classifier-training", "results": []}]} | jamesoneill12/xlm-roberta-base-guardrail-toxicity-classifier-training | null | [
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|
# xlm-roberta-base-guardrail-toxicity-classifier-training
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ashwinatgsk/mistral_7b_guanaco | null | [
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# Model Card for Model ID
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null | peft |
<!-- 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. -->
# Finetuned_phi2_newmodel
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the N... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Finetuned_phi2_newmodel", "results": []}]} | Spophale/Finetuned_phi2_newmodel | null | [
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# Finetuned_phi2_newmodel
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | superlazycoder/tiny_llama_fine_tuned | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aniket49/Aniket-gpt_v1.1 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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fill-mask | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712150056764x343145818950996600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/watercolor"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712150056764x343145818950996600 | null | [
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|
# LoRA DreamBooth - squaadinc/1712150056764x343145818950996600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
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