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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/me... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-hf-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | tarpalsus/ppo-Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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null | null |
<!-- 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. -->
# llama-7b-absa-MT-laptops
This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/ba... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "baffo32/decapoda-research-llama-7B-hf", "model-index": [{"name": "llama-7b-absa-MT-laptops", "results": []}]} | Shakhovak/llama-7b-absa-MT-laptops | null | [
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| llama-7b-absa-MT-laptops
========================
This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0032
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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": []} | Abhilashvj/sql-Mistral-7B | 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 | Mistral-7B Japanese [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-ja | null | [
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| Mistral-7B Japanese [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit 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", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | QuackAI/Atorinv0.1-adapter-model | 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-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. -->
# canine-mouse-enhancers
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "canine-mouse-enhancers", "results": []}]} | addykan/canine-mouse-enhancers | null | [
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| canine-mouse-enhancers
======================
This model is a fine-tuned version of google/canine-c on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9641
* Accuracy: 0.7727
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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null | null | # LLaMA3 License and Usage
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, m... | {} | impactframes/llama3_if_ai_sdpromptmkr_q2k | null | [
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| # LLaMA3 License and Usage
!Model Visualization
## Introduction
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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": []} | SansarK/opt-350m-lora | null | [
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|
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text-generation | transformers | Mistral-7B Swahili [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"a... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-sw | null | [
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| Mistral-7B Swahili [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | ahforoughi/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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text-generation | transformers | # MeowGPT Readme
## Overview
MeowGPT, developed by CutyCat2000x, is a language model based on Llama with the checkpoint version ll3. This model is designed to generate text in a conversational manner and can be used for various natural language processing tasks.
## Usage
### Loading the Model
To use MeowGPT, you can ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["freeai", "conversational", "meowgpt", "gpt", "free", "opensource", "splittic", "ai", "llama", "llama3"], "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "... | cutycat2000x/MeowGPT-ll3 | null | [
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"dataset:jondurbin/airoboros-3.2",
"dataset:microsoft/orca-math-word-problems-200k",
... | null | 2024-04-21T18:13:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #freeai #conversational #meowgpt #gpt #free #opensource #splittic #ai #llama3 #en #dataset-Open-Orca/SlimOrca-Dedup #dataset-jondurbin/airoboros-3.2 #dataset-microsoft/orca-math-word-problems-200k #dataset-m-a-p/Code-Feedback #dataset-MaziyarPanahi/WizardLM_evol_i... | # MeowGPT Readme
## Overview
MeowGPT, developed by CutyCat2000x, is a language model based on Llama with the checkpoint version ll3. This model is designed to generate text in a conversational manner and can be used for various natural language processing tasks.
## Usage
### Loading the Model
To use MeowGPT, you can ... | [
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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. -->
# MGG_model_tclss
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "MGG_model_tclss", "results": []}]} | ManuGG/MGG_model_tclss | null | [
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| MGG\_model\_tclss
=================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2352
* Accuracy: 0.9316
Model description
-----------------
More information needed
Intended uses & limitations... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# gpt2+morf_s0-30-x-2_cx-en_00000-00009_50k
This model is a fine-tuned version of [](https://huggingface.co/) on the uonlp/Cultura... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["uonlp/CulturaX"], "metrics": ["accuracy"], "model-index": [{"name": "gpt2+morf_s0-30-x-2_cx-en_00000-00009_50k", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "uonlp/Cultu... | jonasknobloch/gpt2-morf_s0-30-x-2_cx-en_00000-00009_50k | null | [
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| gpt2+morf\_s0-30-x-2\_cx-en\_00000-00009\_50k
=============================================
This model is a fine-tuned version of [](URL on the uonlp/CulturaX en dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8423
* Accuracy: 0.4330
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1.0",
"### Trai... | [
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null | transformers |
# Uploaded model
- **Developed by:** sccastillo
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | sccastillo/tiny_med_es | null | [
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|
# Uploaded model
- Developed by: sccastillo
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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token-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. -->
# my_awesome_wnut_model_
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rub... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "cointegrated/rubert-tiny2", "model-index": [{"name": "my_awesome_wnut_model_", "results": []}]} | NastyaKorneeva/my_awesome_wnut_model_ | null | [
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| my\_awesome\_wnut\_model\_
==========================
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1997
* Precision: 0.3076
* Recall: 0.4690
* F1: 0.3716
* Accuracy: 0.9322
Model description
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 7\n* eval\\_batch\\_size: 7\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 24",
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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. -->
# Llama-2-7b-chat-hf_fictional_chinese_v1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingfac... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_fictional_chinese_v1", "results": []}]} | yzhuang/Llama-2-7b-chat-hf_fictional_chinese_v1 | null | [
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|
# Llama-2-7b-chat-hf_fictional_chinese_v1
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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text-generation | transformers |
# Llama3merge6-15B-MoE
Llama3merge6-15B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuralLlamita-3-8B-v0.2](https://huggingface.co/Kukedlc/NeuralLlamita-3-8B-v0.2)
* [imone/Lla... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Kukedlc/NeuralLlamita-3-8B-v0.2", "imone/Llama-3-8B-fixed-special-embedding"], "base_model": ["Kukedlc/NeuralLlamita-3-8B-v0.2", "imone/Llama-3-8B-fixed-special-embedding"]} | allknowingroger/Llama3merge6-15B-MoE | null | [
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"base_model:imone/Llama-3-8B... | null | 2024-04-21T18:18:44+00:00 | [] | [] | TAGS
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# Llama3merge6-15B-MoE
Llama3merge6-15B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* Kukedlc/NeuralLlamita-3-8B-v0.2
* imone/Llama-3-8B-fixed-special-embedding
## Configuration
## Usage
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/woodward_building_uncc
<Gallery />
## Model description
These are leonickson1/woodward_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/woodward_building_uncc | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:20:49+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/woodward_building_uncc
<Gallery />
## Model description
These are leonickson1/woodward_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Spe... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/cato_building_uncc
<Gallery />
## Model description
These are leonickson1/cato_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/cato_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:21:07+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/cato_building_uncc
<Gallery />
## Model description
These are leonickson1/cato_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/chhs_building_uncc
<Gallery />
## Model description
These are leonickson1/chhs_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/chhs_building_uncc | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/chhs_building_uncc
<Gallery />
## Model description
These are leonickson1/chhs_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/atkins_library_building_uncc
<Gallery />
## Model description
These are leonickson1/atkins_library_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA ... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/atkins_library_building_uncc | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:21:35+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/atkins_library_building_uncc
<Gallery />
## Model description
These are leonickson1/atkins_library_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled:... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/robinson_building_uncc
<Gallery />
## Model description
These are leonickson1/robinson_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/robinson_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:21:48+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/robinson_building_uncc
<Gallery />
## Model description
These are leonickson1/robinson_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Spe... | [
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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": []} | engine58848/tpaejref_sn10_17 | null | [
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#transformers #safetensors #llama #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:
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/friday_building_uncc
<Gallery />
## Model description
These are leonickson1/friday_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text enc... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/friday_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:22:05+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/friday_building_uncc
<Gallery />
## Model description
These are leonickson1/friday_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/fretwell_building_uncc
<Gallery />
## Model description
These are leonickson1/fretwell_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/fretwell_building_uncc | null | [
"diffusers",
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:22:25+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/fretwell_building_uncc
<Gallery />
## Model description
These are leonickson1/fretwell_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Spe... | [
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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | rujengelal/my_awesome_opus_books_model | null | [
"transformers",
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"text2text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T18:22:50+00:00 | [] | [] | TAGS
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6848
* Bleu: 5.0886
* Gen Len: 17.6469
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_prec... | [
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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. -->
# gpt2+morf_u0-30-50-x_cx-en_00000-00009_50k
This model is a fine-tuned version of [](https://huggingface.co/) on the uonlp/Cultur... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["uonlp/CulturaX"], "metrics": ["accuracy"], "model-index": [{"name": "gpt2+morf_u0-30-50-x_cx-en_00000-00009_50k", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "uonlp/Cult... | jonasknobloch/gpt2-morf_u0-30-50-x_cx-en_00000-00009_50k | null | [
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"autotrain_compatible",
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"en"
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| gpt2+morf\_u0-30-50-x\_cx-en\_00000-00009\_50k
==============================================
This model is a fine-tuned version of [](URL on the uonlp/CulturaX en dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3667
* Accuracy: 0.3950
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1.0",
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/storris_building_uncc
<Gallery />
## Model description
These are leonickson1/storris_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text e... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/storris_building_uncc | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:23:59+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/storris_building_uncc
<Gallery />
## Model description
These are leonickson1/storris_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Speci... | [
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"# AutoTrain SDXL LoRA DreamBooth - leonickson1/storris_building_uncc\n\n<Gallery />",
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/epic_building_uncc
<Gallery />
## Model description
These are leonickson1/epic_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/epic_building_uncc | null | [
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"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:24:11+00:00 | [] | [] | TAGS
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|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/epic_building_uncc
<Gallery />
## Model description
These are leonickson1/epic_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE... | [
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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": []} | hi000000/insta_attrangs_llama2-koen_evaluation | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-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 |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/reese_building_uncc
<Gallery />
## Model description
These are leonickson1/reese_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encod... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/reese_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:24:29+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/reese_building_uncc
<Gallery />
## Model description
These are leonickson1/reese_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special V... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/bioinformatic_building_uncc
<Gallery />
## Model description
These are leonickson1/bioinformatic_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA fo... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/bioinformatic_building_uncc | null | [
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"stable-diffusion-xl",
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"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:25:17+00:00 | [] | [] | TAGS
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|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/bioinformatic_building_uncc
<Gallery />
## Model description
These are leonickson1/bioinformatic_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: F... | [
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null | speechbrain | <iframe src="https://ghbtns.com/github-btn.html?user=SupradeepDanturti&repo=ConvAIProject&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Speaker Counting with XVector and ECAPA-TDNN models
This repository provides tools for detecting an... | {"language": ["en"], "library_name": "speechbrain", "datasets": ["librispeech_asr"], "metrics": ["accuracy"]} | Supradeepdan/OverlapSpeakerCounter | null | [
"speechbrain",
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"dataset:librispeech_asr",
"arxiv:2106.04624",
"region:us"
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"2106.04624"
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"en"
] | TAGS
#speechbrain #en #dataset-librispeech_asr #arxiv-2106.04624 #region-us
|
Speaker Counting with XVector and ECAPA-TDNN models
===================================================
This repository provides tools for detecting and counting the number of speakers in an audio recording using models like XVector and ECAPA-TDNN, trained on datasets such as LibriSpeech.
The pre-trained sy... | [
"### Limitations\n\n\nPlease note that these models are evaluated under controlled conditions and their performance may vary when applied to different datasets or in real-world scenarios.\n\n\nSystem Overview\n---------------\n\n\nThis project includes interfaces for processing audio files, detecting speech, and co... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ehristoforu/Gistral-16B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "gistral", "gistral-16b", "multilingual", "code", "128k", "metamath", "grok-1", "anthropic", "openhermes", "instruct", "merge"], "datasets": ["HuggingFaceH4/grok-conversation-harmless", "HuggingFaceH4/ultrachat_200k", "Hug... | mradermacher/Gistral-16B-GGUF | null | [
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"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH... | null | 2024-04-21T18:29:21+00:00 | [] | [
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-----
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 |
# Uploaded model
- **Developed by:** alihan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | alihan/llama-3-8b-4bit-finetuned-adapters | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T18:31:17+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: alihan
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# UndeadWizard
UndeadWizard is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/WizardLM-7B-Uncensored](https://huggingface.co/cognitivecomputations/WizardLM-7B-Uncensored)
* ... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "cognitivecomputations/WizardLM-7B-Uncensored", "dreamgen/WizardLM-2-7B"], "base_model": ["cognitivecomputations/WizardLM-7B-Uncensored", "dreamgen/WizardLM-2-7B"]} | blueprintninja/UndeadWizard | null | [
"transformers",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"cognitivecomputations/WizardLM-7B-Uncensored",
"dreamgen/WizardLM-2-7B",
"base_model:cognitivecomputations/WizardLM-7B-Uncensored",
"base_model:dreamgen/WizardLM-2-7B",
"license:apache-2.... | null | 2024-04-21T18:31:26+00:00 | [] | [] | TAGS
#transformers #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #cognitivecomputations/WizardLM-7B-Uncensored #dreamgen/WizardLM-2-7B #base_model-cognitivecomputations/WizardLM-7B-Uncensored #base_model-dreamgen/WizardLM-2-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #... |
# UndeadWizard
UndeadWizard is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* cognitivecomputations/WizardLM-7B-Uncensored
* dreamgen/WizardLM-2-7B
## Configuration
## Usage
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/sac
<Gallery />
## Model description
These are leonickson1/sac LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special ... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/clock_tower_building_uncc | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-21T18:32:54+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/sac
<Gallery />
## Model description
These are leonickson1/sac LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/macadeliccc/Orpo-GutenLlama-3-8B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "library_name": "transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k", "jondurbin/gutenberg-dpo-v0.1"], "base_model": "macadeliccc/Orpo-GutenLlama-3-8B-v2", "quantized_by": "mradermacher"} | mradermacher/Orpo-GutenLlama-3-8B-v2-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 | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO | null | [
"trl",
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#trl #safetensors #DPO #WeniGPT #pt #base_model-Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged #license-mit #region-us
|
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with other hyperparameters and bes... | [
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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_chatbot
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_finetune_chatbot", "results": []}]} | gouravsinha/mistral_finetune_chatbot | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
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"region:us"
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|
# mistral_finetune_chatbot
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown 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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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T18:36:22+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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": []} | palgraciel/Meta-Llama-3-8B-Instruct-leo-kor | 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 |
# 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": []} | weege007/OrpoLlama-3-8B | null | [
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# Model Card for Model ID
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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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/me... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-hf-8bits | null | [
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#transformers #safetensors #llama #text-generation #arxiv-2308.12950 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL \n\n\"Li... | [
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null | null | FP16 models of ControlNet++. Original project repo: https://huggingface.co/spaces/limingcv/ControlNet-Plus-Plus. | {"license": "apache-2.0"} | huchenlei/ControlNet_plus_plus_collection_fp16 | null | [
"license:apache-2.0",
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#license-apache-2.0 #region-us
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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": []} | GalaganKV/Mistral-7B-Instruct-v0.2-MultiTask-v8 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-21T18:43:30+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #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 | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_1 | null | [
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# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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": ["unsloth"]} | msmart/llama3-DPO-test | 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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null | null |
This is a private model (txt)(Sorry as it is easy to extract from your own models..) but also Mistral Do sell access to thier embedding models ? I dont know why as it is in the actual 7b model or MOE models they released ?
QUESTION: Do these models contain bad embedding space as they have only been trained on rand... | {"language": ["en"], "license": "apache-2.0", "tags": ["embeddings", "Mistral", "SpydazWebAI", "Embeds-to-CSV"]} | LeroyDyer/Mistral_Embeddings_CSV | null | [
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This is a private model (txt)(Sorry as it is easy to extract from your own models..) but also Mistral Do sell access to thier embedding models ? I dont know why as it is in the actual 7b model or MOE models they released ?
QUESTION: Do these models contain bad embedding space as they have only been trained on rand... | [
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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": []} | mohannadirshedat/gemma-medical_qa-Finetune | 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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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-Instruct-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingf... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-Instruct-hf-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2308.12950 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-Instruct-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra... | [
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null | null | ## MixtralIMAT
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [mixtral-8x7b-instruct-v0.1-imat-IQ1_S.llamafile](https://huggingface.co/blueprintninja/MixtralIMAT/resolve/main/mixtral-8x7b-instruct-v0.... | {"tags": ["llamafile", "GGUF"], "base_model": "qwp4w3hyb/Mixtral-8x7B-Instruct-v0.1-iMat-GGUF"} | blueprintninja/MixtralIMAT | null | [
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#llamafile #GGUF #base_model-qwp4w3hyb/Mixtral-8x7B-Instruct-v0.1-iMat-GGUF #region-us
| ## MixtralIMAT
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- mixtral-8x7b-instruct-v0.1-imat-IQ1_S.llamafile
This repository was created using the llamafile-builder
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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": []} | mryannugent/knowledge-finetune-miscondetect-bloomz-3b | 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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text-generation | transformers | # NEBULA-23.8B-v1.0
## Technical notes
- 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
- 23.8B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## R... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23B-v1.0", "results": [{"task":... | TeeZee/NEBULA-23.8B-v1.0-bpw4.0-h6-exl2 | null | [
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"dataset:allenai/ultrafeedback_binar... | null | 2024-04-21T18:59:22+00:00 | [] | [
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=================
!image/png
Technical notes
---------------
* 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
* 23.8B parameters
* model created as a extension of depth upscaling procedure used for SOLAR by upstage
Results
-------
* model can and will produce NSFW ... | [] | [
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null | null |
# Multi_verse_modelNeuralsynthesis-7B
Multi_verse_modelNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: MTSAIR/multi_verse_model
- model: Kuke... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Multi_verse_modelNeuralsynthesis-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Multi_verse_modelNeuralsynthesis-7B
Multi_verse_modelNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | null |
3-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b).
| {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | numen-tech/dolphin-2.9-llama3-8b-w3a16g40sym | null | [
"arxiv:2308.13137",
"license:other",
"region:us"
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"2308.13137"
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#arxiv-2308.13137 #license-other #region-us
|
3-bit OmniQuant quantized version of dolphin-2.9-llama3-8b.
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | obednsiah/detr | null | [
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"object-detection",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-21T19:02:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3771
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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. -->
# c13
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown da... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "c13", "results": []}]} | samhitmantrala/c13 | null | [
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| c13
===
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9572
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tra... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_1 | null | [
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|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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. -->
# falcon-summ
This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summariza... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Falconsai/text_summarization", "model-index": [{"name": "falcon-summ", "results": []}]} | suneeln-duke/falcon-summ | null | [
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| falcon-summ
===========
This model is a fine-tuned version of Falconsai/text\_summarization on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1784
* Rouge1: 0.1921
* Rouge2: 0.0958
* Rougel: 0.1642
* Rougelsum: 0.1643
* Gen Len: 19.0
Model description
-----------------
Mo... | [
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null | null |
# Model Card for Model ID
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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null | transformers |
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fill-mask | 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 |
# 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?"}]}]} | franciscobdl/TestL_1 | 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-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. -->
# robust_llm_pythia-410m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_ian-022_IMDB_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_ian-022_IMDB_n-its-25 | null | [
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|
# robust_llm_pythia-410m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-410m 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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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_2 | null | [
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# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-Instruct-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingf... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-Instruct-hf-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-Instruct-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
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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 = "shawn-padstats/rental-text-llama_3"
tokenizer = AutoTokenizer.from_pre... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | shawn-padstats/rental-text-llama_3 | null | [
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"TAGS\n#transformers #safetensors #llama #text-generation #autotrain #text-generation-inference #peft #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us \n# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.# Usag... |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-ll... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-hf-gguf | null | [
"gguf",
"arxiv:2308.12950",
"region:us"
] | null | 2024-04-21T19:10:40+00:00 | [
"2308.12950"
] | [] | TAGS
#gguf #arxiv-2308.12950 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-hf - GGUF
* Model creator: URL
* Original model: URL
Name: CodeLlama-34b-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 11.65GB
Name: CodeLlama-34b-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 12.93GB
Name: CodeLlama-34b-hf.IQ... | [
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token-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-finetuned-panx-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | habahbeh/xlm-roberta-base-finetuned-panx-ar | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:tner/xlm-roberta-base-panx-dataset-ar",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T19:11:21+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1920
* F1: 0.8882
* Accuracy: 0.9538
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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null | transformers |
# Uploaded model
- **Developed by:** feliphe-galiza
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | feliphe-galiza/llama-3-1A.english-hypernyms | null | [
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|
# Uploaded model
- Developed by: feliphe-galiza
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_2 | null | [
"adapter-transformers",
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"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
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] | null | 2024-04-21T19:14:53+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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": []} | Yasusan/gpt_0.3B_llma_sft_gcp | 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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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shubham11/v11 | null | [
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# Uploaded model
- Developed by: shubham11
- License: apache-2.0
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3-8B-Instruct-DPO-v0.1
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-8B-Instruct` model.
# Prompt Template
This model uses `ChatML` prompt template:
```
<... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["axolotl", "finetune", "facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1 | null | [
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"safetensors",
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"axolotl",
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"model-ind... | null | 2024-04-21T19:18:34+00:00 | [] | [
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] | TAGS
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Llama-3-8B-Instruct-DPO-v0.1
============================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-8B-Instruct' model.
Prompt Template
===============
This model uses 'ChatML' prompt template:
'
How to use
==========
You can use this model by using 'MaziyarP... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shubham11/release1 | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T19:20:25+00:00 | [] | [
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] | TAGS
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|
# Uploaded model
- Developed by: shubham11
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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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
<!-- 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": []} | Ehsanl/m3-ranker-fl18-e2 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T19:21:43+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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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sentence-similarity | sentence-transformers |
# multi-qa-mpnet-base-cos-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for **semantic search**. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | cicero-ai/multi-qa-mpnet-base-cos-v1-rust | null | [
"sentence-transformers",
"pytorch",
"rust",
"safetensors",
"mpnet",
"fill-mask",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T19:21:49+00:00 | [] | [
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] | TAGS
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| multi-qa-mpnet-base-cos-v1
==========================
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for semantic search. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search, h... | [
"### Pre-training\n\n\nWe use the pretrained 'mpnet-base' model. Please refer to the model card for more detailed information about the pre-training procedure.",
"#### Training\n\n\nWe use the concatenation from multiple datasets to fine-tune our model. In total we have about 215M (question, answer) pairs.\nWe sa... | [
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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": []} | Grayx/sad_llama_19 | null | [
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"text-generation",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #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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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | Naghma/detr | null | [
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9572
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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... | togthehog/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# 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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] |
null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T19:23:27+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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. -->
# text2sql-llama-3-8B
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llam... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "text2sql-llama-3-8B", "results": []}]} | kyryl-opens-ml/text2sql-llama-3-8B | null | [
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|
# text2sql-llama-3-8B
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_3 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | nitinaggarwal12/ludwig-llm-fine-tuning | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/atomixPonyXL_v10TurboDPMSDE | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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":... | tarpalsus/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#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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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": []} | Enagamirzayev/whisper-small-llm-lingo-adapters_aa | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | OwOOwO/dumbo-llama6 | 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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automatic-speech-recognition | 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": []} | Enagamirzayev/whisper-small-llm-lingo_aa | 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 | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="rahil1206/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | rahil1206/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-34b-Instruct-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.c... | {} | RichardErkhov/meta-llama_-_CodeLlama-34b-Instruct-hf-gguf | null | [
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#gguf #arxiv-2308.12950 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-34b-Instruct-hf - GGUF
* Model creator: URL
* Original model: URL
Name: CodeLlama-34b-Instruct-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 11.65GB
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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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null | transformers |
# Uploaded model
- **Developed by:** mehdi selbi
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
- **Dataset :** gretelai/synthetic_text_to_sql
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="ht... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "text-to-sql"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mehdiselbi/llama3-8b-bnb-4bit-text-to-sql | null | [
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|
# Uploaded model
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/incompleteAnimePony_alpha | null | [
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|
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_4 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_80_e_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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. -->
# my_awesome_english_to_nepali
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_english_to_nepali", "results": []}]} | rujengelal/my_awesome_english_to_nepali | null | [
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| my\_awesome\_english\_to\_nepali
================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2429
* Bleu: 12.0872
* Gen Len: 16.7863
Model description
-----------------
More information needed
Intende... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4 | null | [
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|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
"# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters librar... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n",
"# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and i... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n# Adapter 'BigTMiami/n_par_bn_v_1_help_class_40_e_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and include... |
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