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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-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned_panx-de", "results": []}]} | jnrahul92/xlm-roberta-base-finetuned_panx-de | null | [
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"base_model:xlm-roberta-base",
"license:mit",
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] | null | 2024-04-07T09:26:14+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned\_panx-de
===================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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-hi-ast
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) o... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-hi-ast", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automa... | amaantamboli54/whisper-small-hi | null | [
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| whisper-small-hi-ast
====================
This model is a fine-tuned version of openai/whisper-small on the Common Voice Hi 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4409
* Wer: 32.6039
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
# Experiment26Yamshadow_Experiment29Pastiche
Experiment26Yamshadow_Experiment29Pastiche is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment29Pastiche-7B](https://huggingface.co/automerger/Experiment29Pastiche-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment29Pastiche", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment29Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/Experiment26Yamshadow_Experiment29Pastiche | null | [
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"base_model:automerger/Experiment29Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# Experiment26Yamshadow_Experiment29Pastiche
Experiment26Yamshadow_Experiment29Pastiche is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment29Pastiche-7B
## Usage
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text-generation | transformers |
# MeliodasPercival_01_YamshadowT3q
MeliodasPercival_01_YamshadowT3q is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/YamshadowT3q-7B](https://huggingface.co/automerger/YamshadowT3q-7B)
## 💻 Usage
```python
!pip insta... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_YamshadowT3q", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/YamshadowT3q-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantize... | MaziyarPanahi/MeliodasPercival_01_YamshadowT3q | null | [
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"base_model:automerger/YamshadowT3q-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:27:26+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/YamshadowT3q-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_YamshadowT3q
MeliodasPercival_01_YamshadowT3q is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/YamshadowT3q-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# Experiment28M7_T3qT3qm7
Experiment28M7_T3qT3qm7 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/T3qT3qm7-7B](https://huggingface.co/automerger/T3qT3qm7-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_T3qT3qm7", "base_model": ["automerger/Experiment28M7-7B", "automerger/T3qT3qm7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPan... | MaziyarPanahi/Experiment28M7_T3qT3qm7 | null | [
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"base_model:automerger/T3qT3qm7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:27:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/T3qT3qm7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_T3qT3qm7
Experiment28M7_T3qT3qm7 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/T3qT3qm7-7B
## Usage
| [
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text-generation | transformers |
# Experiment28T3q_Experiment27Inex12
Experiment28T3q_Experiment27Inex12 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Experiment27Inex12-7B](https://huggingface.co/automerger/Experiment27Inex12-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Experiment27Inex12", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Experiment27Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/Experiment28T3q_Experiment27Inex12 | null | [
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"base_model:automerger/Experiment27Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Experiment27Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Experiment27Inex12
Experiment28T3q_Experiment27Inex12 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Experiment27Inex12-7B
## Usage
| [
"# Experiment28T3q_Experiment27Inex12\n\nExperiment28T3q_Experiment27Inex12 is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/Experiment27Inex12-7B",
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_ShadowCalme
T3qm7xNeuralsirkrishna_ShadowCalme is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/ShadowCalme-7B](https://huggingface.co/automerger/ShadowCalme-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_ShadowCalme", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/ShadowCalme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/T3qm7xNeuralsirkrishna_ShadowCalme | null | [
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"mistral",
"text-generation",
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"base_model:automerger/ShadowCalme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:27:41+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_ShadowCalme
T3qm7xNeuralsirkrishna_ShadowCalme is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/ShadowCalme-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
AWQ quantized version of stable-code-3b model.
---
# `stable-code-3b`
## Model Description
`stable-code-3b` is a 2.7B billion parameter decoder-only language model pre-trained on 1.3 trillion tokens of diverse textual and code datasets. `stable-code-3b` is trained on 18 programming languages (selected based on the... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["causal-lm", "code"], "datasets": ["tiiuae/falcon-refinedweb", "bigcode/the-stack-github-issues", "bigcode/commitpackft", "bigcode/starcoderdata", "EleutherAI/proof-pile-2", "meta-math/MetaMathQA"], "metrics": ["code_eval"], "model-index"... | TechxGenus/stable-code-3b-AWQ | null | [
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---
'stable-code-3b'
================
Model Description
-----------------
'stable-code-3b' is a 2.7B billion parameter decoder-only language model pre-trained on 1.3 trillion tokens of diverse textual and code datasets. 'stable-code-3b' is trained on 18 programmi... | [
"### Run with Fill in Middle (FIM) ️\n\n\n\n Click to expand",
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text-generation | transformers |
## Exllama v2 Quantizations of Smaug-2-72B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains an... | {"license": "other", "library_name": "transformers", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE", "base_model": "Qwen/Qwen1.5-72B-Chat", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Smaug-2-72B-exl2 | null | [
"transformers",
"text-generation",
"base_model:Qwen/Qwen1.5-72B-Chat",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:29:34+00:00 | [] | [] | TAGS
#transformers #text-generation #base_model-Qwen/Qwen1.5-72B-Chat #license-other #endpoints_compatible #region-us
|
## Exllama v2 Quantizations of Smaug-2-72B
Using <a href="URL ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the URL, download one of the other branches for the model (see below)</b>
Each branch contains an individual bits per weight, with the main one containing only the URL for further... | [
"## Exllama v2 Quantizations of Smaug-2-72B\n\nUsing <a href=\"URL ExLlamaV2 v0.0.17</a> for quantization.\n\n<b>The \"main\" branch only contains the URL, download one of the other branches for the model (see below)</b>\n\nEach branch contains an individual bits per weight, with the main one containing only the UR... | [
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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/Locutusque-TinyMistral-248M-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-07T09:29:45+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<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>
 dataset, which will be used for the 7th [FEVER](https://fever.ai/) workshop co-hosted at EMNLP 2024.
## NEWS:
- 19.04.2024: The submisstion page (with eval.ai) for the shared-... | {"license": "apache-2.0"} | chenxwh/AVeriTeC | null | [
"arxiv:2305.13117",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T09:39:59+00:00 | [
"2305.13117"
] | [] | TAGS
#arxiv-2305.13117 #license-apache-2.0 #region-us
| AVeriTeC
========
Data, knowledge store and source code to reproduce the baseline experiments for the AVeriTeC dataset, which will be used for the 7th FEVER workshop co-hosted at EMNLP 2024.
NEWS:
-----
* 19.04.2024: The submisstion page (with URL) for the shared-task is alive, you can participate by submitting y... | [
"### 0. Set up environment\n\n\nYou will need to have Git LFS installed:\n\n\nYou can also skip the large files in the repo and selectively download them later:\n\n\nThen create 'conda' environment and install the libs.",
"### 1. Scrape text from the URLs obtained by searching queries with the Google API\n\n\nThe... | [
"TAGS\n#arxiv-2305.13117 #license-apache-2.0 #region-us \n",
"### 0. Set up environment\n\n\nYou will need to have Git LFS installed:\n\n\nYou can also skip the large files in the repo and selectively download them later:\n\n\nThen create 'conda' environment and install the libs.",
"### 1. Scrape text from the ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": []}]} | raks87/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:40:51+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0944
* Accuracy: 0.9694
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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/Locutusque-TinyMistral-248M-bnb-8bit-smashed | null | [
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"mistral",
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<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>
 ️\n\n\n\n Click to expand",
"### Run with Flash Attention 2 ️\n\n\n\n Click to expand \n\nModel Details\n-------------\n\n\n* Developed by: Stability AI\n* Model type: 'stable-code-3b' models are auto-regressive language models based on the transformer decoder architecture.\n* L... | [
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text-generation | transformers |
# Experiment26Yamshadow_PasticheAlloyingotneoy
Experiment26Yamshadow_PasticheAlloyingotneoy is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/PasticheAlloyin... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_PasticheAlloyingotneoy", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/PasticheAlloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/Experiment26Yamshadow_PasticheAlloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment26Yamshadow-7B",
"base_model:automerger/PasticheAlloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:48:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_PasticheAlloyingotneoy
Experiment26Yamshadow_PasticheAlloyingotneoy is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/PasticheAlloyingotneoy-7B
## Usage
| [
"# Experiment26Yamshadow_PasticheAlloyingotneoy\n\nExperiment26Yamshadow_PasticheAlloyingotneoy is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/PasticheAlloyingotneoy-7B",
"## Usage"
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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": "state-spaces/mamba-1.4b-hf"} | ChlorophyllChampion/mamba-tinytrain1.4b | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:state-spaces/mamba-1.4b-hf",
"region:us"
] | null | 2024-04-07T09:48:16+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-state-spaces/mamba-1.4b-hf #region-us
|
# 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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"## Model Details",
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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. -->
# pegasus_summarizer-pubmed-3000
This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner0... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "tuner007/pegasus_summarizer", "model-index": [{"name": "pegasus_summarizer-pubmed-3000", "results": []}]} | Chung-Fan/pegasus_summarizer-pubmed-3000 | null | [
"transformers",
"safetensors",
"pegasus",
"text2text-generation",
"generated_from_trainer",
"base_model:tuner007/pegasus_summarizer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:48:18+00:00 | [] | [] | TAGS
#transformers #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-tuner007/pegasus_summarizer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# pegasus_summarizer-pubmed-3000
This model is a fine-tuned version of tuner007/pegasus_summarizer on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# pegasus_summarizer-pubmed-3000\n\nThis model is a fine-tuned version of tuner007/pegasus_summarizer on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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text-generation | transformers |
# Experiment28T3q_Strangemerges_30Experiment28
Experiment28T3q_Strangemerges_30Experiment28 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Strangemerges_30Experiment28-7B](https://huggingface.co/automerger/Strangemerges_30Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_30Experiment28", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_30Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/Experiment28T3q_Strangemerges_30Experiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/Strangemerges_30Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:48:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Strangemerges_30Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Strangemerges_30Experiment28
Experiment28T3q_Strangemerges_30Experiment28 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Strangemerges_30Experiment28-7B
## Usage
| [
"# Experiment28T3q_Strangemerges_30Experiment28\n\nExperiment28T3q_Strangemerges_30Experiment28 is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/Strangemerges_30Experiment28-7B",
"## Usage"
] | [
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text-generation | transformers |
# Experiment28M7_Experiment26Inex12
Experiment28M7_Experiment26Inex12 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment26Inex12-7B](https://huggingface.co/automerger/Experiment26Inex12-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment26Inex12", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment26Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_Experiment26Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Experiment26Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:49:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment26Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Experiment26Inex12
Experiment28M7_Experiment26Inex12 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment26Inex12-7B
## Usage
| [
"# Experiment28M7_Experiment26Inex12\n\nExperiment28M7_Experiment26Inex12 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Experiment26Inex12-7B",
"## Usage"
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"# Experiment28M7_Experiment26Inex12\n\nExperiment28M7_Experime... | [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Experiment28Inex12
T3qm7xNeuralsirkrishna_Experiment28Inex12 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Experiment28Inex12-7B](https://huggingface.co/automerger/Experiment28Inex12-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Experiment28Inex12", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Experiment28Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment28Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/T3qm7xNeuralsirkrishna-7B",
"base_model:automerger/Experiment28Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:49:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/Experiment28Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_Experiment28Inex12
T3qm7xNeuralsirkrishna_Experiment28Inex12 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Experiment28Inex12-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# MeliodasPercival_01_YamShadow
MeliodasPercival_01_YamShadow is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/YamShadow-7B](https://huggingface.co/automerger/YamShadow-7B)
## 💻 Usage
```python
!pip install -qU trans... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_YamShadow", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/YamShadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by":... | MaziyarPanahi/MeliodasPercival_01_YamShadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/YamShadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:49:38+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/YamShadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_YamShadow
MeliodasPercival_01_YamShadow is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/YamShadow-7B
## Usage
| [
"# MeliodasPercival_01_YamShadow\n\nMeliodasPercival_01_YamShadow is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/YamShadow-7B",
"## Usage"
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"# MeliodasPercival_01_YamShadow\n\nMeliodasPercival_01_YamShadow i... | [
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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": []} | hyhyhyhyyhyh/test-Mistral | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:50:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Mistraldouble-7B-task
Mistraldouble-7B-task is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2](https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": ["MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | allknowingroger/Mistraldouble-7B-task | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2",
"cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"conversational",
"base_model:MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2",
"base_m... | null | 2024-04-07T09:52:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2 #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #conversational #base_model-MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2 #base_model-cognitivecomputations/dolphin-2.8-mist... |
# Mistraldouble-7B-task
Mistraldouble-7B-task is a merge of the following models using LazyMergekit:
* MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
## Configuration
## Usage
| [
"# Mistraldouble-7B-task\n\nMistraldouble-7B-task is a merge of the following models using LazyMergekit:\n* MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2\n* cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"## Configuration",
"## Usage"
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text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/LzEf6vvq2qIiys-q7l9Hq.webp" width="550" />
# MaziyarPanahi/Calme-12B-Instruct-v0.1
## Model Description
Calme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "mistral", "12b", "calme"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi", "model-index": [{"name": "Calme-12B-Instruct-v0.1", "results": []}]} | MaziyarPanahi/Calme-12B-Instruct-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"12b",
"calme",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T09:53:27+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #generated_from_trainer #12b #calme #license-apache-2.0 #autotrain_compatible #text-generation-inference #region-us
|
<img src="URL width="550" />
# MaziyarPanahi/Calme-12B-Instruct-v0.1
## Model Description
Calme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets on top of Calme-7B-Instruct-v0.9. The Calme-7B models excel in generating text that resonates with cla... | [
"# MaziyarPanahi/Calme-12B-Instruct-v0.1",
"## Model Description\n\nCalme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets on top of Calme-7B-Instruct-v0.9. The Calme-7B models excel in generating text that resonates with clarity, calmness, and ... | [
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text-generation | transformers |
AWQ quantized version of stable-code-instruct-3b model.
---
# **Stable Code Instruct 3B**
[Try it out here: https://huggingface.co/spaces/stabilityai/stable-code-instruct-3b](https://huggingface.co/spaces/stabilityai/stable-code-instruct-3b)
", "type": "nuprl/MultiPL-E"}... | TechxGenus/stable-code-instruct-3b-AWQ | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"code",
"conversational",
"en",
"arxiv:2305.18290",
"license:other",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-07T09:53:46+00:00 | [
"2305.18290"
] | [
"en"
] | TAGS
#transformers #safetensors #stablelm #text-generation #causal-lm #code #conversational #en #arxiv-2305.18290 #license-other #model-index #autotrain_compatible #endpoints_compatible #4-bit #region-us
| AWQ quantized version of stable-code-instruct-3b model.
---
Stable Code Instruct 3B
=======================
Try it out here: URL
!image/png
Model Description
-----------------
'stable-code-instruct-3b' is a 2.7B billion parameter decoder-only language model tuned from 'stable-code-3b'. This model was trai... | [
"### Multi-PL Benchmark:",
"### MT-Bench Coding:\n\n\nModel: DeepSeek Coder, Size: 1.3B, Score: 4.6\nModel: Stable Code Instruct (DPO), Size: 3B, Score: 5.8(ours)\nModel: Stable Code Instruct (SFT), Size: 3B, Score: 5.5\nModel: DeepSeek Coder, Size: 6.7B, Score: 6.9\nModel: CodeLlama Instruct, Size: 7B, Score: 3.... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/alkahestry/Mestral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "library_name": "transformers", "base_model": "alkahestry/Mestral-7B", "quantized_by": "mradermacher"} | mradermacher/Mestral-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:alkahestry/Mestral-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:56:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-alkahestry/Mestral-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | newsmediabias/Roberta_Toxicity_Classification | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T09:57:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | # reactor_node
新增人脸检测功能(图片中有人脸就换脸,没人脸就直接返回)
<div align="center">
<img src="https://github.com/Gourieff/Assets/raw/main/sd-webui-reactor/ReActor_logo_NEW_EN.png?raw=true" alt="logo" width="180px"/>

... | {} | ZiqianLiu/yolov8_face | null | [
"region:us"
] | null | 2024-04-07T10:00:17+00:00 | [] | [] | TAGS
#region-us
| reactor\_node
=============
新增人脸检测功能(图片中有人脸就换脸,没人脸就直接返回)
<img src="URL alt="logo" width="180px"/>
!Version
!!! Important Update !!!Don't forget to add the Node again in existing workflows
--------------------------------------------------------------------------------
<a href="URL target="\_blank">
<img src="U... | [
"### The Fast and Simple Face Swap Extension Node for ComfyUI, based on ReActor SD-WebUI Face Swap Extension\n\n\n\n> \n> This Node goes without NSFW filter (uncensored, use it on your own responsibility)\n> \n> \n> \n\n\n\n\n\n---\n\n\n\n\n\nWhat's new in the latest update\n---------------------------... | [
"TAGS\n#region-us \n",
"### The Fast and Simple Face Swap Extension Node for ComfyUI, based on ReActor SD-WebUI Face Swap Extension\n\n\n\n> \n> This Node goes without NSFW filter (uncensored, use it on your own responsibility)\n> \n> \n> \n\n\n\n\n\n---\n\n\n\n\n\nWhat's new in the latest update\n--... | [
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null | null |
## This SD1.5 model was created by merging three.
1. Re_Beake v03thk<br>
https://huggingface.co/armabird/ReBeake/blob/main/Re_Beake_v03thk.safetensors<br>
https://x.com/arma_aiart/status/1770496607743803393<br>
3. White Quartz v01<br>
https://civitai.com/models/351971?modelVersionId=393642)<br>
https://x.... | {"language": ["ja", "en"], "license": "creativeml-openrail-m"} | armabird/BlueGem | null | [
"ja",
"en",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-07T10:00:41+00:00 | [] | [
"ja",
"en"
] | TAGS
#ja #en #license-creativeml-openrail-m #region-us
|
## This SD1.5 model was created by merging three.
1. Re_Beake v03thk<br>
URL
https://x.com/arma_aiart/status/1770496607743803393<br>
3. White Quartz v01<br>
URL
https://x.com/MGR_Siro/status/1768711751040987292<br>
4. Beautiful Realistic Asians v7<br>
URL
https://x.com/PleaseBanKai/status/1710331938... | [
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text2text-generation | transformers | # SchemaPile Foreign Key Detection Model (T5-base)
## Model Description
In this repository we are introducing **t5-schemapile-fk**. It's a language model, based on [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) fine-tuned for predicting foreign key relationships in relational database schemas.
## Trai... | {"license": "cc-by-4.0"} | tdoehmen/t5-schemapile-fk | null | [
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"arxiv:1511.03086",
"license:cc-by-4.0",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"1511.03086"
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#transformers #pytorch #t5 #text2text-generation #arxiv-1511.03086 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SchemaPile Foreign Key Detection Model (T5-base)
## Model Description
In this repository we are introducing t5-schemapile-fk. It's a language model, based on google-t5/t5-base fine-tuned for predicting foreign key relationships in relational database schemas.
## Training Data
Forein key pairs extracted from Schem... | [
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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": []} | relu-ntnu/bigbird-pegasus-large-arxiv_v1_trained_on_500 | null | [
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] | [] | 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:
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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_news_summarizer
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5_news_summarizer", "results": []}]} | hannahisrael03/t5_news_summarizer | null | [
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"safetensors",
"t5",
"text2text-generation",
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| t5\_news\_summarizer
====================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8582
* Rouge1: 0.1413
* Rouge2: 0.0434
* Rougel: 0.1086
* Rougelsum: 0.1086
* Gen Len: 19.0
Model description
-----------------
More ... | [
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text-generation | transformers | # SchemaPile Foreign Key Detection Model (Starcoder)
## Model Description
In this repository we are introducing **starcoder-schemapile-fk**. It's a language model, based on [BigCode/starcoder](https://huggingface.co/bigcode/starcoder) fine-tuned for predicting foreign key relationships in relational database schemas.... | {"license": "cc-by-4.0"} | tdoehmen/starcoder-schemapile-fk | null | [
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"pytorch",
"gpt_bigcode",
"text-generation",
"arxiv:1511.03086",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T10:02:43+00:00 | [
"1511.03086"
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#transformers #pytorch #gpt_bigcode #text-generation #arxiv-1511.03086 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SchemaPile Foreign Key Detection Model (Starcoder)
## Model Description
In this repository we are introducing starcoder-schemapile-fk. It's a language model, based on BigCode/starcoder fine-tuned for predicting foreign key relationships in relational database schemas.
## Training Data
Forein key pairs extracted f... | [
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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. -->
# colab_asr_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "model-index": [{"name": "colab_asr_model", "results": []}]} | DavideEttori/colab_asr_model | null | [
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"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:minds14",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T10:04:18+00:00 | [] | [] | TAGS
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|
# colab_asr_model
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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... | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Gemma 2b here: https://colab.research.google.com/drive/15gGm7x_jTm017_Ic8e317tdIpDG53Mtu?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "gemma-2b", "bnb"]} | unsloth/gemma-1.1-2b-it | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Gemma 2b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for... | [] | [
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Gemma 2b here: https://colab.research.google.com/drive/15gGm7x_jTm017_Ic8e317tdIpDG53Mtu?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "gemma-2b", "bnb"]} | unsloth/gemma-1.1-2b-it-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Gemma 2b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for... | [] | [
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] |
text-generation | transformers |
# Experiment26Yamshadow_ShadowCalme
Experiment26Yamshadow_ShadowCalme is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/ShadowCalme-7B](https://huggingface.co/automerger/ShadowCalme-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_ShadowCalme", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/ShadowCalme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment26Yamshadow_ShadowCalme | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"base_model:automerger/ShadowCalme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T10:09:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/ShadowCalme-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_ShadowCalme
Experiment26Yamshadow_ShadowCalme is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/ShadowCalme-7B
## Usage
| [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_PasticheInex12
T3qm7xNeuralsirkrishna_PasticheInex12 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/PasticheInex12-7B](https://huggingface.co/automerger/PasticheInex12-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_PasticheInex12", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/PasticheInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/T3qm7xNeuralsirkrishna_PasticheInex12 | null | [
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] | null | 2024-04-07T10:10:54+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_PasticheInex12
T3qm7xNeuralsirkrishna_PasticheInex12 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/PasticheInex12-7B
## Usage
| [
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text-generation | transformers |
# Experiment28T3q_YamOgno
Experiment28T3q_YamOgno is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/YamOgno-7B](https://huggingface.co/automerger/YamOgno-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_YamOgno", "base_model": ["automerger/Experiment28T3q-7B", "automerger/YamOgno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPan... | MaziyarPanahi/Experiment28T3q_YamOgno | null | [
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|
# Experiment28T3q_YamOgno
Experiment28T3q_YamOgno is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/YamOgno-7B
## Usage
| [
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text-generation | transformers |
# Experiment28M7_T3qm7xNeuralsirkrishna
Experiment28M7_T3qm7xNeuralsirkrishna is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_T3qm7xNeuralsirkrishna", "base_model": ["automerger/Experiment28M7-7B", "automerger/T3qm7xNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_T3qm7xNeuralsirkrishna | null | [
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"license:apache-2.0",
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"region:us"
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|
# Experiment28M7_T3qm7xNeuralsirkrishna
Experiment28M7_T3qm7xNeuralsirkrishna is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/T3qm7xNeuralsirkrishna-7B
## Usage
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-24 | 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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# MeliodasPercival_01_YamExperiment26
MeliodasPercival_01_YamExperiment26 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/YamExperiment26-7B](https://huggingface.co/automerger/YamExperiment26-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_YamExperiment26", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/YamExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/MeliodasPercival_01_YamExperiment26 | null | [
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"base_model:automerger/YamExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T10:12:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/YamExperiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_YamExperiment26
MeliodasPercival_01_YamExperiment26 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/YamExperiment26-7B
## Usage
| [
"# MeliodasPercival_01_YamExperiment26\n\nMeliodasPercival_01_YamExperiment26 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/YamExperiment26-7B",
"## Usage"
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Gemma 7b here: https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "gemma-7b", "bnb"]} | unsloth/gemma-1.1-7b-it-bnb-4bit | null | [
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"4-bit",
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Gemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for... | [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #unsloth #gemma-7b #bnb #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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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. -->
# NER-Advance
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an XTREME datas... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "NER-advance-2.0", "results": []}]} | neel-jotaniya/NER-advance-2.0 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| NER-Advance
===========
This model is a fine-tuned version of xlm-roberta-base on an XTREME dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Training and evaluation data
----------------------------
I used subset of the Cross-lingual TRansfer Evaluation of
Multilingu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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summarization | 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. -->
# DialogLED-base-16384-sumsum-finetuned
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface... | {"tags": ["generated_from_trainer", "dialogue_summarization", "summary", "conversation_summarization"], "datasets": ["samsum"], "base_model": "MingZhong/DialogLED-base-16384", "pipeline_tag": "summarization", "model-index": [{"name": "DialogLED-base-16384-sumsum-finetuned", "results": []}]} | StDestiny/DialogLED-base-16384-samsum-finetuned | null | [
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"dataset:samsum",
"base_model:MingZhong/DialogLED-base-16384",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-07T10:12:54+00:00 | [] | [] | TAGS
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|
# DialogLED-base-16384-sumsum-finetuned
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the samsum dataset..
## Model description
More information needed
## Intended uses & limitations
Used for conversation summarization.
## Training and evaluation data
More information needed
## Trai... | [
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text-to-image | diffusers | # CESHIMOXINNG
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shuv001/CESHIMOXINNG/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/20240403-160045.jpg"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0"} | Shuv001/CESHIMOXINNG | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T10:12:55+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # CESHIMOXINNG
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers |
GPTQ quantized version of stable-code-instruct-3b model.
---
# **Stable Code Instruct 3B**
[Try it out here: https://huggingface.co/spaces/stabilityai/stable-code-instruct-3b](https://huggingface.co/spaces/stabilityai/stable-code-instruct-3b)
", "type": "nuprl/MultiPL-E"}... | TechxGenus/stable-code-instruct-3b-GPTQ | null | [
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| GPTQ quantized version of stable-code-instruct-3b model.
---
Stable Code Instruct 3B
=======================
Try it out here: URL
!image/png
Model Description
-----------------
'stable-code-instruct-3b' is a 2.7B billion parameter decoder-only language model tuned from 'stable-code-3b'. This model was tra... | [
"### Multi-PL Benchmark:",
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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": []} | tomaszki/mistral-24-a | 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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- Funded by [optional]:
- Shared by [optional]:
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- 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": []} | tomaszki/mistral-24-b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T10:21:28+00:00 | [
"1910.09700"
] | [] | TAGS
#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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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/PygmalionAI-pygmalion-2-7b-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-07T10:24:23+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<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>
, [Ali Berberov](https://t.me/ali_berberov)
[Github](https://github.com/TBSj/Qarachay_Malqar_translator)
As a base we took NLLB-200-600M model and trained it on 288532 parallel sentences from Qarachay-Malqar to russian language. It is the 2 version of tran... | {"language": ["krc", "ru"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["code"], "datasets": ["TSjB/qarachay-malqar_russian_parallel_corpora_dialectic-free"], "metrics": ["bleu"], "pipeline_tag": "translation"} | TSjB/NLLB-201-600M-QM-V2 | null | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"code",
"translation",
"krc",
"ru",
"dataset:TSjB/qarachay-malqar_russian_parallel_corpora_dialectic-free",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-07T10:25:26+00:00 | [] | [
"krc",
"ru"
] | TAGS
#transformers #pytorch #m2m_100 #text2text-generation #code #translation #krc #ru #dataset-TSjB/qarachay-malqar_russian_parallel_corpora_dialectic-free #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| Authors: Bogdan Tewunalany, Ali Berberov
Github
As a base we took NLLB-200-600M model and trained it on 288532 parallel sentences from Qarachay-Malqar to russian language. It is the 2 version of translator based on NLLB-200.
Where to use:
HF
Site | [] | [
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Gemma 7b here: https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "gemma-7b", "bnb"]} | unsloth/gemma-1.1-7b-it | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"gemma-7b",
"bnb",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T10:26:40+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #unsloth #gemma-7b #bnb #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Gemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for... | [] | [
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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": ["trl", "sft"]} | mjm765/comment_adr_mistral | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T10:28:10+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# Experiment28M7_YamshadowStrangemerges_32
Experiment28M7_YamshadowStrangemerges_32 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_YamshadowStrangemerges_32", "base_model": ["automerger/Experiment28M7-7B", "automerger/YamshadowStrangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment28M7_YamshadowStrangemerges_32 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
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"base_model:automerger/YamshadowStrangemerges_32-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T10:32:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/YamshadowStrangemerges_32-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_YamshadowStrangemerges_32
Experiment28M7_YamshadowStrangemerges_32 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/YamshadowStrangemerges_32-7B
## Usage
| [
"# Experiment28M7_YamshadowStrangemerges_32\n\nExperiment28M7_YamshadowStrangemerges_32 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/YamshadowStrangemerges_32-7B",
"## Usage"
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text-generation | transformers |
# Experiment26Yamshadow_Experiment28Inex12
Experiment26Yamshadow_Experiment28Inex12 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment28Inex12-7B](https://huggingface.co/automerger/Experiment28Inex12-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment28Inex12", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment28Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment26Yamshadow_Experiment28Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment26Yamshadow-7B",
"base_model:automerger/Experiment28Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T10:32:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/Experiment28Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_Experiment28Inex12
Experiment26Yamshadow_Experiment28Inex12 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment28Inex12-7B
## Usage
| [
"# Experiment26Yamshadow_Experiment28Inex12\n\nExperiment26Yamshadow_Experiment28Inex12 is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/Experiment28Inex12-7B",
"## Usage"
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text-generation | transformers |
# Experiment28T3q_YamExperiment24
Experiment28T3q_YamExperiment24 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/YamExperiment24-7B](https://huggingface.co/automerger/YamExperiment24-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_YamExperiment24", "base_model": ["automerger/Experiment28T3q-7B", "automerger/YamExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/Experiment28T3q_YamExperiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/YamExperiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T10:32:44+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/YamExperiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_YamExperiment24
Experiment28T3q_YamExperiment24 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/YamExperiment24-7B
## Usage
| [
"# Experiment28T3q_YamExperiment24\n\nExperiment28T3q_YamExperiment24 is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/YamExperiment24-7B",
"## Usage"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/migtissera/Tess-34B-v1.5b
**This uses only 40k tokens of my standard set, as the model overflowed with more.**
<!-- provided-files ... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "migtissera/Tess-34B-v1.5b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Tess-34B-v1.5b-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:migtissera/Tess-34B-v1.5b",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T10:33:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-migtissera/Tess-34B-v1.5b #license-other #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
This uses only 40k tokens of my standard set, as the model overflowed with more.
static 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 fi... | [] | [
"TAGS\n#transformers #gguf #en #base_model-migtissera/Tess-34B-v1.5b #license-other #endpoints_compatible #region-us \n"
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42
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] |
text-generation | null |
# For some reason this crashes in oobabooga web ui and LM Studio but works with pure llama.cpp, just a heads up, they may need updates
## Llamacpp Quantizations of Cerebrum-1.0-8x7b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/... | {"license": "apache-2.0", "base_model": "mistralai/Mixtral-8x7B-v0.1", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Cerebrum-1.0-8x7b-GGUF | null | [
"gguf",
"text-generation",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T10:33:45+00:00 | [] | [] | TAGS
#gguf #text-generation #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #region-us
| For some reason this crashes in oobabooga web ui and LM Studio but works with pure URL, just a heads up, they may need updates
==============================================================================================================================
Llamacpp Quantizations of Cerebrum-1.0-8x7b
--------------------... | [] | [
"TAGS\n#gguf #text-generation #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #region-us \n"
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] |
text-generation | transformers |

# Occiglot-7B-DE-EN-Instruct bf16 format
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-DE-EN-Instru... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["hqq"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-de-en-instruct-HQQ | null | [
"transformers",
"mistral",
"text-generation",
"hqq",
"conversational",
"en",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T10:41:10+00:00 | [] | [
"en",
"de"
] | TAGS
#transformers #mistral #text-generation #hqq #conversational #en #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| !image/png
Occiglot-7B-DE-EN-Instruct bf16 format
======================================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-DE-EN-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting German and English and trained by t... | [
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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. -->
# geez_t5-big-15k
This model is a fine-tuned version of [Samuael/geez_t5-big-15k](https://huggingface.co/Samuael/geez_t5-big-15k) ... | {"tags": ["generated_from_trainer"], "metrics": ["wer", "bleu"], "base_model": "Samuael/geez_t5-big-15k", "model-index": [{"name": "geez_t5-big-15k", "results": []}]} | Samuael/geez_t5-big-15k | null | [
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| geez\_t5-big-15k
================
This model is a fine-tuned version of Samuael/geez\_t5-big-15k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8007
* Wer: 0.2339
* Cer: 0.0556
* Bleu: 58.8529
Model description
-----------------
More information needed
Intended uses ... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-PixelCopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | feysahin/Reinforce-PixelCopter | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |

# Occiglot-7B-ES-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-ES-EN-Instruct** is a th... | {"language": ["en", "es"], "license": "apache-2.0", "tags": ["hqq"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-es-en-instruct-HQQ | null | [
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| !image/png
Occiglot-7B-ES-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-ES-EN-Instruct is a the instruct version of occiglot-7b-es-en, a generative language model with 7B parameters supporting the Spanish and English and trained by the Occiglot Resea... | [
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text-generation | transformers |

# Occiglot-7B-EU5-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-EU5-Instruct** is a the in... | {"language": ["en", "es", "de", "fr", "it"], "license": "apache-2.0", "tags": ["hqq"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-eu5-instruct-HQQ | null | [
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| !image/png
Occiglot-7B-EU5-Instruct
========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-EU5-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting the top-5 EU languages (English, Spanish, French, German, and Ita... | [
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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/KnutJaegersberg-Qwen-1_8B-Llamafied-bnb-8bit-smashed | null | [
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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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# Occiglot-7B-FR-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-FR-EN-Instruct** is a th... | {"language": ["en", "fr"], "license": "apache-2.0", "tags": ["hqq"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-fr-en-instruct-HQQ | null | [
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#transformers #mistral #text-generation #hqq #conversational #en #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
Occiglot-7B-FR-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-FR-EN-Instruct is a the instruct version of occiglot-7b-fr-en, a generative language model with 7B parameters supporting the French and English and trained by the Occiglot Resear... | [
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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": []} | relu-ntnu/bigbird-pegasus-large-arxiv_v1_trained_on_1000 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# primera-pubmed-3000
This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the None ... | {"tags": ["generated_from_trainer"], "base_model": "allenai/PRIMERA", "model-index": [{"name": "primera-pubmed-3000", "results": []}]} | Chung-Fan/primera-pubmed-3000 | null | [
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|
# primera-pubmed-3000
This model is a fine-tuned version of allenai/PRIMERA on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-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": ["trl", "sft"]} | mjm765/comment_entity_mistral | 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 |

# Occiglot-7B-it-en-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-EU5-Instruct** is a the ... | {"language": ["en", "it"], "license": "apache-2.0", "tags": ["hqq"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-it-en-instruct-HQQ | null | [
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| !image/png
Occiglot-7B-it-en-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
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mask-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": []} | diliash/sam-2024-04-07-10-24-45 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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. -->
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text-to-image | diffusers |
# ColorfulXL-Lightning

## Model Details
v1.6. Based on ColorfulXL, with lightning ability.
- Fine-tuned on aesthetics
- Unet trained from 512 to 1280 with 64 steps
- Good prompt follow, trained text encoder
- Custom VAE
- Merged with 2,4,8, steps lightning unets from bytedance (supermari... | {"language": ["en"], "tags": ["text-to-image", "stable-diffusion"], "pipeline_tag": "text-to-image"} | recoilme/ColorfulXL-Lightning | null | [
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# ColorfulXL-Lightning
!promo
## Model Details
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers | <!-- header start -->
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# Don't forget to check if you need to add additional att... | {"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": ... | Sassy21/q-FrozenLake-v1-4x4-noSlippery | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
- Base Model: Ho97/temp1_ff_p_e3_lr19e8
- Pruned by ShortGPT
- Calibset: wikitext
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### Model Description
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text2text-generation | transformers |
<p align="center"><h2 align="center">Rethinking Negative Instances for Generative Named Entity Recognition</h2></p>
# Model Card for GNER-T5-large
<!-- Provide a quick summary of what the model is/does. -->
We introduce GNER, a **G**enerative **N**amed **E**ntity **R**ecognition framework, which demonstrates enhanc... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["Universal-NER/Pile-NER-type", "numind/NuNER"], "metrics": ["f1"], "pipeline_tag": "text2text-generation"} | dyyyyyyyy/GNER-T5-large-v2 | null | [
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mask-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": []} | diliash/sam-2024-04-07-10-45-14 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | ADG-2353/rl_course_vizdoom_health_gathering_supreme | null | [
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A(n) APPO model trained on the doom_health_gathering_supreme environment.
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Documentation for how to use Sample-Factory can be found at URL
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To run the mod... | [
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"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Sassy21/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | Sassy21/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-07T11:09:30+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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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":... | davidkh/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T11:10:52+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
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] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
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text-classification | transformers |
# Model Card for Sentiment Analysis on Primate Dataset
This model card provides details about a sentiment analysis model trained on a dataset containing posts related to primates. The model predicts sentiment labels for textual data using transformer-based architectures.
## Model Details
### Model Description
The ... | {"language": ["en"], "license": "mit", "tags": ["code"], "metrics": ["accuracy", "precision", "recall", "f1"]} | Joyo1/Sentiment_Analyser | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"code",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T11:14:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #distilbert #text-classification #code #en #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Sentiment Analysis on Primate Dataset
This model card provides details about a sentiment analysis model trained on a dataset containing posts related to primates. The model predicts sentiment labels for textual data using transformer-based architectures.
## Model Details
### Model Description
The ... | [
"# Model Card for Sentiment Analysis on Primate Dataset\n\nThis model card provides details about a sentiment analysis model trained on a dataset containing posts related to primates. The model predicts sentiment labels for textual data using transformer-based architectures.",
"## Model Details",
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summarization | 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. -->
# DialogLED-base-16384-dialogsum-finetuned
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingf... | {"tags": ["generated_from_trainer", "summarization", "dialogue_summarization", "conversation_summarization", "summary", "long_dialog_summarization"], "datasets": ["knkarthick/dialogsum"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "DialogLED-base-16384-dialogsum-finetuned", "results": []}]... | StDestiny/DialogLED-base-16384-dialogsum-finetuned | null | [
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"led",
"text2text-generation",
"generated_from_trainer",
"summarization",
"dialogue_summarization",
"conversation_summarization",
"summary",
"long_dialog_summarization",
"dataset:knkarthick/dialogsum",
"base_model:MingZhong/DialogLED-base-16384",... | null | 2024-04-07T11:17:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #led #text2text-generation #generated_from_trainer #summarization #dialogue_summarization #conversation_summarization #summary #long_dialog_summarization #dataset-knkarthick/dialogsum #base_model-MingZhong/DialogLED-base-16384 #autotrain_compatible #endpoints_compatible #reg... |
# DialogLED-base-16384-dialogsum-finetuned
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset.
## Model description
More information needed
## Intended uses & limitations
Used for conversation summarization. Might work for long dialouges.
## Training and evaluation d... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Doctor-Shotgun/ds-brew-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "agpl-3.0", "library_name": "transformers", "tags": ["llama", "llama-2"], "base_model": "Doctor-Shotgun/ds-brew-13b", "quantized_by": "mradermacher"} | mradermacher/ds-brew-13b-GGUF | null | [
"transformers",
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"llama",
"llama-2",
"en",
"base_model:Doctor-Shotgun/ds-brew-13b",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T11:18:47+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #llama-2 #en #base_model-Doctor-Shotgun/ds-brew-13b #license-agpl-3.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-scene-parse-150-lr-4-e-30-new-9img
This model is a fine-tuned version of [DiTo97/binarization-segformer-b3](https:/... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "DiTo97/binarization-segformer-b3", "model-index": [{"name": "segformer-b0-scene-parse-150-lr-4-e-30-new-9img", "results": []}]} | klentree/segformer-b0-scene-parse-150-lr-4-e-30-new-9img | null | [
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"tensorboard",
"safetensors",
"segformer",
"generated_from_trainer",
"base_model:DiTo97/binarization-segformer-b3",
"license:openrail",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T11:20:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-DiTo97/binarization-segformer-b3 #license-openrail #endpoints_compatible #region-us
| segformer-b0-scene-parse-150-lr-4-e-30-new-9img
===============================================
This model is a fine-tuned version of DiTo97/binarization-segformer-b3 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1623
* Mean Iou: 0.5077
* Mean Accuracy: 0.5342
* Overall Acc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
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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": []} | eljanmahammadli/AzLlama-152M | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T11:21:02+00:00 | [
"1910.09700"
] | [] | TAGS
#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... | [
"# Model Card for Model ID",
"## Model Details",
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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": ["trl", "sft"]} | mjm765/comment_entity2_mistral | null | [
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"mistral",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T11:24:32+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #trl #sft #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | 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. -->
# trocr-large-printed-cmc7_tesseract_MICR_ocr
This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggin... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/trocr-large-printed", "model-index": [{"name": "trocr-large-printed-cmc7_tesseract_MICR_ocr", "results": []}]} | triki07/trocr-large-printed-cmc7_tesseract_MICR_ocr | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"base_model:microsoft/trocr-large-printed",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T11:24:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-microsoft/trocr-large-printed #endpoints_compatible #region-us
|
# trocr-large-printed-cmc7_tesseract_MICR_ocr
This model is a fine-tuned version of microsoft/trocr-large-printed on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# trocr-large-printed-cmc7_tesseract_MICR_ocr\n\nThis model is a fine-tuned version of microsoft/trocr-large-printed on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-microsoft/trocr-large-printed #endpoints_compatible #region-us \n",
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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="i-pj/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attrib... | {"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": ... | i-pj/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-07T11:25:27+00:00 | [] | [] | TAGS
#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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] |
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/Unbabel-TowerBase-7B-v0.1-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-07T11:26:38+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<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>
 (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-to-image | diffusers | ### Dreamboothed_Eddy_sd21_768px Dreambooth model trained by tlfg with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLast... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | tlfg/dreamboothed-eddy-sd21-768px | null | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-07T11:29:16+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### Dreamboothed_Eddy_sd21_768px Dreambooth model trained by tlfg with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
"### Dreamboothed_Eddy_sd21_768px Dreambooth model trained by tlfg with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast-Colab-A1111\n\nSample pictures of this concept:"
] | [
"TAGS\n#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"### Dreamboothed_Eddy_sd21_768px Dreambooth model trained by tlfg with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Cola... | [
47,
61
] | [
"TAGS\n#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### Dreamboothed_Eddy_sd21_768px Dreambooth model trained by tlfg with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast... |
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/PygmalionAI-pygmalion-2-7b-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-07T11:31:41+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<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>

# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Q_taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.44 +/... | i-pj/Q_taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-07T11:32:59+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/FUH__CjalqBRPiSaqZfO6.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">
# 🌸 Foxglove_7B
Foxglove is a well-rounded RP model. It is smart, does a great job of sticking to character card, and is proficient at... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mistral", "roleplay", "ResplendentAI/Datura_7B", "Epiculous/Mika-7B"], "base_model": ["ResplendentAI/Datura_7B", "Epiculous/Mika-7B"], "model-index": [{"name": "Foxglove_7B", "results": [{"task":... | rmdhirr/Foxglove_7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"roleplay",
"ResplendentAI/Datura_7B",
"Epiculous/Mika-7B",
"en",
"base_model:ResplendentAI/Datura_7B",
"base_model:Epiculous/Mika-7B",
"license:apache-2.0",
"model-index",
"autotrain_comp... | null | 2024-04-07T11:34:44+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #roleplay #ResplendentAI/Datura_7B #Epiculous/Mika-7B #en #base_model-ResplendentAI/Datura_7B #base_model-Epiculous/Mika-7B #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #re... | <img src="URL alt="image" width="540" height="540" style="margin-bottom: 30px;">
Foxglove\_7B
============
Foxglove is a well-rounded RP model. It is smart, does a great job of sticking to character card, and is proficient at following desired markdown.
Foxglove\_7B is a merge of the following models using LazyMe... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #roleplay #ResplendentAI/Datura_7B #Epiculous/Mika-7B #en #base_model-ResplendentAI/Datura_7B #base_model-Epiculous/Mika-7B #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inferen... | [
107
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #roleplay #ResplendentAI/Datura_7B #Epiculous/Mika-7B #en #base_model-ResplendentAI/Datura_7B #base_model-Epiculous/Mika-7B #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inferen... |
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