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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/unstable_10 | 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 |
## Installation from source
```bash
git clone https://github.com/foundation-model-stack/fms-extras
cd fms-extras
pip install -e .
```
## Description
This model is intended to be used as an accelerator for [llama 13B (chat)](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) and takes inspiration
from the Medu... | {"license": "llama2"} | ibm-fms/llama-13b-accelerator | null | [
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#transformers #safetensors #mlp_speculator #license-llama2 #endpoints_compatible #region-us
|
## Installation from source
## Description
This model is intended to be used as an accelerator for llama 13B (chat) and takes inspiration
from the Medusa speculative decoding architecture. This accelerator modifies the MLP into a multi-stage MLP, where each stage predicts
a single token in the draft based on bo... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/ai-forever-mGPT-bnb-4bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | itisarainyday/mistral-7b-ft-test | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers | ## Explanation
A small experiment insipred by the [Mistral playing DOOM experiment](https://github.com/umuthopeyildirim/DOOM-Mistral/tree/main) from the Mistral Hackathon
**How it works?**
```
Audio -> Waveform Visualization -> Waveform ASCII Art -> Finetune Mistral on ASCII Art to predict text from ASCII Art
```
*... | {"license": "apache-2.0", "datasets": ["0-hero/lj_speech_with_spectogram_conversations", "0-hero/lj_speech_with_spectogram"]} | 0-hero/mistral-speech-to-text-preview | null | [
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| ## Explanation
A small experiment insipred by the Mistral playing DOOM experiment from the Mistral Hackathon
How it works?
Quick video explanation
<video width="820" controls src="URL
#### Example Waveform
!image/png
#### Example ASCII Art
## Models & Results
Mistral 7B 0.2 finetunes on ascii art. As seen in ... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2_seed-1 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-medium_seed-2 | null | [
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-medium_seed-3 | null | [
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text-classification | transformers | NOTA: Este modelo será utilizado para comparação com a Versão 2.0.
Poderá ser excluido após esta validação/comparação
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Poderá ser excluido após esta validação/comparação
ellis-v3-emotion-leadership
===========================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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weighted/imatrix quants of URL
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Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_gpt2-large_seed-2 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-large_seed-3 | null | [
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text-classification | bertopic |
# close-hdscan-april3
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/close-hdscan-april3 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-04T21:24:28+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| close-hdscan-april3
===================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic overv... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
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"TAGS\n#bertopic #text-classification #region-us \n"
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-xl_seed-1 | null | [
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"text-classification",
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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 |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLand... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | lbaeriswyl/ppo-self-implement-LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw4.2 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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"### Text Answe... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-xl_seed-2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# mchugfacedddd/my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "mchugfacedddd/my_awesome_model", "results": []}]} | mchugfacedddd/my_awesome_model | null | [
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| mchugfacedddd/my\_awesome\_model
================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
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* Train Accuracy: 0.9997
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/boolq_gpt2-xl_seed-3 | null | [
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# Model Card for Model ID
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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... | rishabh279/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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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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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["zh"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-zh-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
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* Base model: bloom-7b1
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_t5-small_seed-1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
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text2text-generation | transformers |
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text2text-generation | transformers |
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text2text-generation | transformers |
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text-generation | transformers |
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text2text-generation | transformers |
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text2text-generation | transformers |
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token-classification | spacy | # uk_ner_web_trf_best
## Model description
**uk_ner_web_trf_best** is a fine-tuned [Roberta Large Ukrainian model](https://huggingface.co/benjamin/roberta-large-wechsel-ukrainian) that is ready to use for **Named Entity Recognition** and achieves a new **SoA** performance for the NER task for Ukrainian language. It o... | {"language": "uk", "license": "mit", "tags": ["spacy", "token-classification"], "datasets": ["ner-uk"], "widget": [{"text": "\u041f\u0440\u0435\u0437\u0438\u0434\u0435\u043d\u0442 \u0412\u043e\u043b\u043e\u0434\u0438\u043c\u0438\u0440 \u0417\u0435\u043b\u0435\u043d\u0441\u044c\u043a\u0438\u0439 \u043f\u043e\u044f\u0441... | dchaplinsky/uk_ner_web_trf_best | null | [
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| # uk_ner_web_trf_best
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uk_ner_web_trf_best is a fine-tuned Roberta Large Ukrainian model that is ready to use for Named Entity Recognition and achieves a new SoA performance for the NER task for Ukrainian language. It outperforms another SpaCy model, uk_core_news_trf on a NER task.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-8
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/m... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-8", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-8 | null | [
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# phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-8
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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"region:us"
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_t5-large_seed-3 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # FimbulHermes-15B-v0.1 EXL2 6.5bpw
This is a 6.5bpw quant of [steinzer-narayan/fimbulhermes-15B-v0.1_exl2_6.5bpw](https://huggingface.co/steinzer-narayan/fimbulhermes-15B-v0.1_exl2_6.5bpw).
| {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Nous-Hermes-2-SOLAR-10.7B", "Sao10K/Fimbulvetr-11B-v2"]} | steinzer-narayan/fimbulhermes-15B-v0.1_exl2_6.5bpw | null | [
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| # FimbulHermes-15B-v0.1 EXL2 6.5bpw
This is a 6.5bpw quant of steinzer-narayan/fimbulhermes-15B-v0.1_exl2_6.5bpw.
| [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_t5-3b_seed-1 | null | [
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/brucethemoose/Capybara-Tess-Yi-34B-200K
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Capybara-Tess-Yi-34B-200K-i1-GGUF
... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge"], "base_model": "brucethemoose/Capybara-Tess-Yi-34B-200K", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "license_name": "yi-license", "quantized_by": "mradermacher"} | mradermacher/Capybara-Tess-Yi-34B-200K-GGUF | null | [
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#transformers #gguf #merge #en #base_model-brucethemoose/Capybara-Tess-Yi-34B-200K #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712266778298x277231954858721900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Trilogy_abel"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712266778298x277231954858721900 | null | [
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"region:us"
] | null | 2024-04-04T21:39:48+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Trilogy_abel #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712266778298x277231954858721900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_t5-3b_seed-2 | null | [
"transformers",
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"t5",
"text2text-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 #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # [MaziyarPanahi/MeliodasT3qm7-7B-GGUF](https://huggingface.co/MaziyarPanahi/MeliodasT3qm7-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/MeliodasT3qm7-7B](https://huggingface.co/automerger/MeliodasT3qm7-7B)
## Description
[MaziyarPanahi/MeliodasT3qm7-7B-GGUF](h... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/T3QM7", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference... | MaziyarPanahi/MeliodasT3qm7-7B-GGUF | null | [
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"endpoin... | null | 2024-04-04T21:42:45+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_model-automerger/Meli... | # MaziyarPanahi/MeliodasT3qm7-7B-GGUF
- Model creator: automerger
- Original model: automerger/MeliodasT3qm7-7B
## Description
MaziyarPanahi/MeliodasT3qm7-7B-GGUF contains GGUF format model files for automerger/MeliodasT3qm7-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF model... | [
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"## Description\nMaziyarPanahi/MeliodasT3qm7-7B-GGUF contains GGUF format model files for automerger/MeliodasT3qm7-7B.",
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_3_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "unsloth", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_CyberBrain_2.0", "ezelikman/quietstar-8-ahead"]} | LeroyDyer/Mixtral_AI_CyberBrain_3_0_7b_32k | null | [
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"en"
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|
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_3_0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.... | [
"# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_3_0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["bg"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-bg-pythia-6.9b | null | [
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"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-04T21:45:10+00:00 | [
"2309.08958"
] | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw4.4 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# ECE-TW3-JRGL-V4
ECE-TW3-JRGL-V4 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [migtissera/Tess-72B-v1.5b](https://huggingface.co/migtissera/Tess-72B-v1.5b)
* [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "migtissera/Tess-72B-v1.5b", "MTSAIR/MultiVerse_70B"]} | paloalma/ECE-TW3-JRGL-V4 | null | [
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# ECE-TW3-JRGL-V4
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_t5-11b_seed-1 | null | [
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text-generation | transformers | ## Explanation
A small experiment insipred by the [Mistral playing DOOM experiment](https://github.com/umuthopeyildirim/DOOM-Mistral/tree/main) from the Mistral Hackathon
**How it works?**
```
Audio -> Waveform Visualization -> Waveform ASCII Art -> Finetune Mistral on ASCII Art to predict text from ASCII Art
```
*... | {"license": "apache-2.0", "datasets": ["0-hero/lj_speech_with_spectogram_conversations", "0-hero/lj_speech_with_spectogram"]} | 0-hero/mistral-speech-to-text | null | [
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A small experiment insipred by the Mistral playing DOOM experiment from the Mistral Hackathon
How it works?
Quick video explanation
<video width="820" controls src="URL
#### Example Waveform
!image/png
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-classification | transformers |
# Model Card for Model ID
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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. -->
# t5-small-finetuned-2024-04-04
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-04-03](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "liamvbetts/t5-small-finetuned-2024-04-03", "model-index": [{"name": "t5-small-finetuned-2024-04-04", "results": []}]} | liamvbetts/t5-small-finetuned-2024-04-05 | null | [
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| t5-small-finetuned-2024-04-04
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-04-03 on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# TiELECTRA BiEncoder Model
This model is a [sentence-transformers](https://www.SBERT.net) model for the Tigrinya language based on [TiELECTRA-small](https://huggingface.co/fgaim/tielectra-small).
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| TiELECTRA BiEncoder Model
=========================
This model is a sentence-transformers model for the Tigrinya language based on TiELECTRA-small.
The maps sentences & paragraphs to a 256 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Using Sentence-Transformers
------... | [
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
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text-classification | transformers |
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# TiRoBERTa BiEncoder Model
This is a [sentence-transformers](https://www.SBERT.net) model for the Tigrinya language based on [TiRoBERTa-base](https://huggingface.co/fgaim/tiroberta-base).
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| TiRoBERTa BiEncoder Model
=========================
This is a sentence-transformers model for the Tigrinya language based on TiRoBERTa-base.
The maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Using Sentence-Transformers
-------------... | [
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/imdb_facebook_opt-125m_seed-3 | null | [
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text-classification | transformers |
# 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 generate... | {"library_name": "transformers", "tags": []} | utahnlp/imdb_facebook_opt-350m_seed-1 | null | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wangyuhao/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name... | wangyuhao/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6267
* Accuracy: 0.81
Model description
-----------------
More information needed
Intended uses & limit... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/imdb_facebook_opt-350m_seed-2 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw4.6 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/imdb_facebook_opt-1.3b_seed-1 | null | [
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automatic-speech-recognition | 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. -->
# Whisper Small Dv - Daniel Gheorghita
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/... | {"language": ["dv"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Dv - Daniel Gheorghita", "results": [{"task": {"type": "automatic-speech-recognition",... | danielgh/whisper-small-dv | null | [
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| Whisper Small Dv - Daniel Gheorghita
====================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
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* Loss: 0.1726
* Wer Ortho: 62.9361
* Wer: 13.4593
Model description
-----------------
Mor... | [
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token-classification | spacy | # uk_ner_web_trf_13class
## Model description
**uk_ner_web_trf_13class** is a fine-tuned [Roberta Large Ukrainian model](https://huggingface.co/benjamin/roberta-large-wechsel-ukrainian) that is ready to use for **Named Entity Recognition** and achieves a new **SoA** performance for the NER task for Ukrainian language... | {"language": "uk", "license": "mit", "tags": ["spacy", "token-classification"], "datasets": ["ner-uk.2.0"], "widget": [{"text": "\u041f\u0440\u0435\u0437\u0438\u0434\u0435\u043d\u0442 \u0412\u043e\u043b\u043e\u0434\u0438\u043c\u0438\u0440 \u0417\u0435\u043b\u0435\u043d\u0441\u044c\u043a\u0438\u0439 \u043f\u043e\u044f\u... | dchaplinsky/uk_ner_web_trf_13class | null | [
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| # uk_ner_web_trf_13class
## Model description
uk_ner_web_trf_13class is a fine-tuned Roberta Large Ukrainian model that is ready to use for Named Entity Recognition and achieves a new SoA performance for the NER task for Ukrainian language.
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/imdb_facebook_opt-1.3b_seed-2 | null | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Jais-13b-chat
<!-- Provide a quick summary of what the model is/does. -->
This is a 13 billion parameter fine-tuned bilingual large language model for both Arabic and English.
It is based on transformer-based decoder-only (GPT-3) architecture and uses SwiGLU
non-linearity. It implements ALiBi position embeddings,... | {"language": ["ar", "en"], "license": "apache-2.0", "tags": ["Arabic", "English", "LLM", "Decoder", "causal-lm", "gptq"]} | Ali-C137/jais-13b-chat-GPTQ | null | [
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| Jais-13b-chat
=============
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null | null | I trained 3 Motion LoRAs for Animatediff:
1) WAS26: trained on selections of art shared in the Banodoco Discord
2) Smoooth: trained on videos w/ smooth motion
3) LiquidAF: trained on liquid simulations
You can see them in action here:
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uplo... | {"license": "apache-2.0"} | peteromallet/poms-funtime-mlora-emporium | null | [
"license:apache-2.0",
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#license-apache-2.0 #region-us
| I trained 3 Motion LoRAs for Animatediff:
1) WAS26: trained on selections of art shared in the Banodoco Discord
2) Smoooth: trained on videos w/ smooth motion
3) LiquidAF: trained on liquid simulations
You can see them in action here:
<video controls autoplay src="URL
I'll be constantly updating and iterating upo... | [] | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/imdb_facebook_opt-1.3b_seed-3 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.5.1
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.5.1 | null | [
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# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.5.1
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text-generation | transformers |
# PandafishHeatherReloaded
PandafishHeatherReloaded is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
... | {"tags": ["merge", "mergekit", "lazymergekit", "ichigoberry/pandafish-dt-7b", "MysticFoxMagic/HeatherSpell-7b"], "base_model": ["ichigoberry/pandafish-dt-7b", "MysticFoxMagic/HeatherSpell-7b"]} | MysticFoxMagic/PandafishHeatherReloaded | null | [
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|
!image/jpeg
# PandafishHeatherReloaded
PandafishHeatherReloaded is a merge of the following models using LazyMergekit:
* ichigoberry/pandafish-dt-7b
* MysticFoxMagic/HeatherSpell-7b
## Configuration
## Usage
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | utahnlp/imdb_facebook_opt-2.7b_seed-2 | null | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# convnextv2-huge-1k-224-finetuned-cassava-leaf-disease
This model is a fine-tuned version of [facebook/convnextv2-huge-1k-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-huge-1k-224", "model-index": [{"name": "convnextv2-huge-1k-224-finetuned-cassava-leaf-disease", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | louislu9911/convnextv2-huge-1k-224-finetuned-cassava-leaf-disease | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-classification | transformers |
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text-generation | transformers | Sampling = False, epochs = 3 | {} | FreekCool/fine_tuned_llama2_train_3 | null | [
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| Sampling = False, epochs = 3 | [] | [
"TAGS\n#transformers #pytorch #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
38
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"TAGS\n#transformers #pytorch #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw4.8 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Table",
"QA",
"Code",
"en",
"dataset:RUCKBReasoning/TableLLM-SFT",
"arxiv:2403.19318",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T22:25:58+00:00 | [
"2403.19318"
] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #Table #QA #Code #en #dataset-RUCKBReasoning/TableLLM-SFT #arxiv-2403.19318 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
"### Code Solution\n\n\nThe prompt template for the insert, delete, update, query, and plot operations on a single table.\n\n\nThe prompt template for the merge operation on two tables.\n\n\nThe csv\\_data field is filled with the first few lines of your provided table file. Below is an example:",
"### Text Answe... | [
"TAGS\n#transformers #safetensors #llama #text-generation #Table #QA #Code #en #dataset-RUCKBReasoning/TableLLM-SFT #arxiv-2403.19318 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Code Solution\n\n\nThe prompt template for the insert, delete, update, q... | [
75,
63,
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"TAGS\n#transformers #safetensors #llama #text-generation #Table #QA #Code #en #dataset-RUCKBReasoning/TableLLM-SFT #arxiv-2403.19318 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Code Solution\n\n\nThe prompt template for the insert, delete, update, query, ... |
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