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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-sql-timeout-classifier-with-trained-tokenizer
This model is a fine-tuned version of [distilbert-base-uncased](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["generator"], "metrics": ["recall", "precision", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-sql-timeout-classifier-with-trained-tokenizer", "results": [{"task": {"type": "text-classification", "nam... | Lifehouse/distilbert-sql-timeout-classifier-with-trained-tokenizer | null | [
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| distilbert-sql-timeout-classifier-with-trained-tokenizer
========================================================
This model is a fine-tuned version of distilbert-base-uncased on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4898
* Recall: 0.7370
* Precision: 0.1526
* Aff... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/s30](https://huggingface.co/coffiee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s30", "zzttbrdd/sn6_02s"]} | Sumail/Goat_Derrick25 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/s30
* zzttbrdd/sn6_02s
### Configuration
The following YAML configurati... | [
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null | transformers |
# Requirements
<!-- Provide a quick summary of what the model is/does. -->
```python
%%capture
import torch
major_version, minor_version = torch.cuda.get_device_capability()
# Must install separately since Colab has torch 2.2.1, which breaks packages
!pip install "unsloth[colab-new] @ git+https://github.com/unslotha... | {"library_name": "transformers", "tags": ["unsloth"]} | DisgustingOzil/MIstral_Pak_Law | null | [
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#transformers #safetensors #unsloth #endpoints_compatible #region-us
|
# Requirements
## Inference
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text-classification | transformers |
# xlm-roberta-large-pooled-long-cap
## Model description
An `xlm-roberta-large` model finetuned on multilingual training data containing longer documents (>= 512 tokens) labelled with [major topic codes](https://www.comparativeagendas.net/pages/master-codebook) from the [Comparative Agendas Project](https://www.compar... | {"language": ["en", "nl", "fr", "it", "hu"], "library_name": "transformers", "metrics": ["f1"], "pipeline_tag": "text-classification"} | poltextlab/xlm-roberta-large-pooled-long-cap | null | [
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| xlm-roberta-large-pooled-long-cap
=================================
Model description
-----------------
An 'xlm-roberta-large' model finetuned on multilingual training data containing longer documents (>= 512 tokens) labelled with major topic codes from the Comparative Agendas Project.
### Fine-tuning procedure
... | [
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw4.4 | null | [
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|
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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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": []} | deepkawamura/gpt_0.125B_global_step6000 | 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]:
- Model type:
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- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "home/yujia/home/CN_Hateful/experiment/mistral/toxi/", "results": []}]} | yujia23/axolotl-mistral-3e-5-lora | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/experiment/mistral/toxi/
====================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieve... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rules_full_desc
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "rules_full_desc", "results": []}]} | lokaspire/rules_full_desc | null | [
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|
# rules_full_desc
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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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-fintuned-panx-all
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-fintuned-panx-all", "results": []}]} | duckdwns/xlm-roberta-base-fintuned-panx-all | null | [
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| xlm-roberta-base-fintuned-panx-all
==================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1861
* F1: 0.8496
Model description
-----------------
More information needed
Intended uses & lim... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Trisha_StarCoder2_HTML
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["bigcode/the-stack-smol"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "Trisha_StarCoder2_HTML", "results": []}]} | Trisha2411/Trisha_StarCoder2_HTML | null | [
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|
# Trisha_StarCoder2_HTML
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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video-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. -->
# checkpoint-291-5ep3bsfrmulti5
This model was trained from scratch on an unknown dataset.
It achieves the following results on th... | {"tags": ["generated_from_trainer"], "metrics": ["recall", "precision", "f1"], "model-index": [{"name": "checkpoint-291-5ep3bsfrmulti5", "results": []}]} | Myaukko/checkpoint-291-5ep3bsfrmulti5 | null | [
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| checkpoint-291-5ep3bsfrmulti5
=============================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1898
* Recall: 0.9032
* Precision: 0.9655
* F1: 0.9333
* Roc Auc: 0.7553
Model description
-----------------
More information ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "home/yujia/home/CN_Hateful/experiment/mistral/toxi/1e-5/", "results": []}]} | yujia23/axolotl-mistral-1e-5-lora | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/experiment/mistral/toxi/1e-5/
=========================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [zzttbrdd/sn6_02s](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_02s", "zzttbrdd/sn6_00s"]} | Sumail/Goat_Derrick26 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* zzttbrdd/sn6_02s
* zzttbrdd/sn6_00s
### Configuration
The following YAML config... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# laptap_mistral
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "laptap_mistral", "results": []}]} | ShahlaDnshi96/laptap_mistral | null | [
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|
# laptap_mistral
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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. -->
# bart_baseline_512
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "wer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart_baseline_512", "results": []}]} | jordanfan/bart_baseline_512 | null | [
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| bart\_baseline\_512
===================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0396
* Rouge1: 0.6863
* Rouge2: 0.4232
* Rougel: 0.6228
* Rougelsum: 0.6228
* Wer: 0.4678
Model description
-----------------
... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | OOOHHHIII/practice-model | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# SlimPajama-DC
<center><img src="assets/SlimPajama-DC-logo.png" alt="SlimPajama-DC logo" width="200"/></center>
[**SlimPajama-DC**](https://arxiv.org/abs/2309.10818) is a set of 1.3B parameter language models, distinctively trained on the different combinations of 330B subsets of SlimPajama dataset.
| Details of... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["llm", "dataset combination", "Pretraining"], "pipeline_tag": "text-generation"} | MBZUAI-LLM/SlimPajama-DC | null | [
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| SlimPajama-DC
=============
SlimPajama-DC is a set of 1.3B parameter language models, distinctively trained on the different combinations of 330B subsets of SlimPajama dataset.
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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": []} | qamyr/test_007_bloomz_1b_1000steps_finetuned_lora_model | 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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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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* zzttbrdd/sn6_02s
* Sumail/Goat_Derrick26
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text-generation | transformers |
# Gemma-2b-it-finetuned-python-codes
This model card corresponds to the 2B finetuned version of the Gemma-2b-it model. You can visit the model card of the [2B Gemma Instruct](https://huggingface.co/google/gemma-2b-it).
**Author**: Dishank Shah
### Description
GifPC-2b (Gemma-2b-it-finetuned-python-codes) LLM is t... | {"language": ["en"], "license": "gemma", "datasets": ["flytech/python-codes-25k"], "widget": [{"text": "write a simple python function", "example_title": "Example 1"}, {"text": "write a python program using flask", "example_title": "Example 2"}, {"text": "make a todo list using python", "example_title": "Example 3"}, {... | shahdishank/gemma-2b-it-finetune-python-codes | null | [
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|
# Gemma-2b-it-finetuned-python-codes
This model card corresponds to the 2B finetuned version of the Gemma-2b-it model. You can visit the model card of the 2B Gemma Instruct.
Author: Dishank Shah
### Description
GifPC-2b (Gemma-2b-it-finetuned-python-codes) LLM is trained on a dataset containing Python code snippe... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-Finetuned
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None data... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-Finetuned", "results": []}]} | Spophale/phi-2-Finetuned | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-Finetuned
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-airlines-news-binary
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on t... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-airlines-news-binary", "results": []}]} | dahe827/roberta-base-airlines-news-binary | null | [
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| roberta-base-airlines-news-binary
=================================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4533
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/ul4uebo | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-gsm8k
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the Non... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-gsm8k", "results": []}]} | mohits01/phi-2-finetuned-gsm8k | null | [
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|
# phi-2-finetuned-gsm8k
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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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": []} | shallow6414/1ky2m9u | null | [
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] | null | 2024-04-02T07:44:20+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #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.
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null | null | # CT-LLM-SFT-intermediate-ckpts
[**🌐 Homepage**](https://chinese-tiny-llm.github.io) | [**🤗 MAP-CC**](https://huggingface.co/datasets/m-a-p/MAP-CC) | [**🤗 CHC-Bench**](https://huggingface.co/datasets/m-a-p/CHC-Bench) | [**🤗 CT-LLM**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc... | {} | m-a-p/CT-LLM-intermediate-ckpts | null | [
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#safetensors #arxiv-2404.04167 #region-us
| # CT-LLM-SFT-intermediate-ckpts
Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub
This repo contains all intermediate ckpts, which are base models that have been pre-trained with different amounts of data.
## Uses
Please refer to the usage CT-LLM-Base
## Disclaimer
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text-to-audio | 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. -->
# malay_dataset_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "malay_dataset_checkpoint", "results": []}]} | mikhail-panzo/malay_dataset_checkpoint | null | [
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| malay\_dataset\_checkpoint
==========================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5938
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | ngaiwk/wave2vec_audio_classification_number | null | [
"keras",
"wav2vec2",
"region:us"
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#keras #wav2vec2 #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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null | null |
GGUF version of [Felladrin/TinyMistral-248M-Chat-v2](https://huggingface.co/Felladrin/TinyMistral-248M-Chat-v2).
## Try it with [llama.cpp](https://github.com/ggerganov/llama.cpp)
```bash
brew install ggerganov/ggerganov/llama.cpp
```
```bash
llama-cli \
--hf-repo Felladrin/gguf-TinyMistral-248M-Chat-v2 \
--mode... | {"license": "apache-2.0", "base_model": "Felladrin/TinyMistral-248M-Chat-v2"} | Felladrin/gguf-TinyMistral-248M-Chat-v2 | null | [
"gguf",
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"license:apache-2.0",
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#gguf #base_model-Felladrin/TinyMistral-248M-Chat-v2 #license-apache-2.0 #region-us
|
GGUF version of Felladrin/TinyMistral-248M-Chat-v2.
## Try it with URL
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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": []} | shallow6414/r01mq16 | null | [
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# Model Card for Model ID
## Model Details
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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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## Model Details
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null | null |
# danielus/MermaidMixtral-3x7b-Q6_K-GGUF
This model was converted to GGUF format from [`TroyDoesAI/MermaidMixtral-3x7b`](https://huggingface.co/TroyDoesAI/MermaidMixtral-3x7b) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidMixtral-3x7b) for more details on the model.
## Us... | {"license": "cc-by-4.0", "tags": ["llama-cpp"]} | danielus/MermaidMixtral-3x7b-Q6_K-GGUF | null | [
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# danielus/MermaidMixtral-3x7b-Q6_K-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidMixtral-3x7b' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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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": []} | SeungHeeKim/MechChatbot_exp001_LoRA_1epoch | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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-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": []} | lxsure/Sniper_27 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | 0x0son0/m_310 | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Sadiah/Go-Gourmet
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel ... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["Sadiah/Go-Gourmet"], "base_model": "Sadiah/Go-Gourmet", "quantized_by": "mradermacher"} | mradermacher/Go-Gourmet-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | shidowake/240402-Swal-MS-7b-CVec-coeff-0.1-mist-inst-v0.1 | null | [
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## Model Details
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# open-llama-2-ko-7b-ko-alpaca-finetuned-50steps
This model is a fine-tuned version of [beomi/open-llama-2-ko-7b](https://huggingf... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "beomi/open-llama-2-ko-7b", "model-index": [{"name": "open-llama-2-ko-7b-ko-alpaca-finetuned-50steps", "results": []}]} | youngwook-kim/open-llama-2-ko-7b-ko-alpaca-finetuned-50steps | null | [
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#generated_from_trainer #base_model-beomi/open-llama-2-ko-7b #license-mit #region-us
|
# open-llama-2-ko-7b-ko-alpaca-finetuned-50steps
This model is a fine-tuned version of beomi/open-llama-2-ko-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | 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": []} | Raghav3842/Mistral-7B-Instruct-v0.2_learning_rate2e-05-epoch1-maxseq4000 | null | [
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text-generation | transformers | # ties_output_model2
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [chihoonlee10/T3Q-ko-solar-dpo-v3.0](https://huggingface.co/ch... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["davidkim205/nox-solar-10.7b-v4", "chihoonlee10/T3Q-ko-solar-dpo-v3.0", "Deepnoid/deep-solar-Rev-v3.0.4"]} | JY623/KoSOLAR-10.7B-merge-v1.0 | null | [
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"endpoints_... | null | 2024-04-02T08:00:26+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using chihoonlee10/T3Q-ko-solar-dpo-v3.0 as a base.
### Models Merged
The following models were included in the merge:
* davidkim205/nox-so... | [
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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": []} | maty0505/gpt_0.125B_global_step2200_openassistant | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# TripleMerge-7B-Ties
TripleMerge-7B-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [allknowingroger/limyC... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp", "allknowingroger/LeeMerge-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp", "allknowingroger/LeeMerge-7B-sler... | allknowingroger/TripleMerge-7B-Ties | null | [
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# TripleMerge-7B-Ties
TripleMerge-7B-Ties is a merge of the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/limyClown-7B-slerp
* allknowingroger/LeeMerge-7B-slerp
## Configuration
## Usage
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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. -->
# token-classification-llmlingua2-m_bert-bctn-173_sample-10_epoch
This model is a fine-tuned version of [google-bert/bert-base-mul... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "token-classification-llmlingua2-m_bert-bctn-173_sample-10_epoch", "results": []}]} | qminh369/token-classification-llmlingua2-m_bert-bctn-173_sample-10_epoch | null | [
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| token-classification-llmlingua2-m\_bert-bctn-173\_sample-10\_epoch
==================================================================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6145
Model de... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - rubio21/latas-picvisatodo-lora
These are LoRA adaption weights for runwayml/stable-diffusi... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | rubio21/latas-picvisatodo-lora | null | [
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|
# LoRA text2image fine-tuning - rubio21/latas-picvisatodo-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the /datatmp2/picvisa_2023/pruebas_alberto/datasets/dataset_lora_conjunto dataset. You can find some example images in the following.
!img_0
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!img... | [
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summarization | transformers | # FRED-T5 1.7B Summarizer
The model was trained by [SberDevices](https://sberdevices.ru/).
The model is trained on a mix of open summarisation data [RussianNLP/Mixed-Summarization-Dataset](https://huggingface.co/datasets/RussianNLP/Mixed-Summarization-Dataset) for the Russian language and use prefix tokenen '\<LM\>'... | {"language": ["ru"], "license": "mit", "pipeline_tag": "summarization"} | RussianNLP/FRED-T5-Summarizer | null | [
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| # FRED-T5 1.7B Summarizer
The model was trained by SberDevices.
The model is trained on a mix of open summarisation data RussianNLP/Mixed-Summarization-Dataset for the Russian language and use prefix tokenen '\<LM\>'
## Usage
# Authors
+ Sber Devices:
+ Albina Akhmetgareeva
+ Ilia Kuleshov
+ Vlad Leschuk
... | [
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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": []} | shidowake/240402-Swal-MS-7b-CVec-coeff-0.5-mist-inst-v0.1 | null | [
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text-to-image | null | ### My-cats-and-dogs- Dreambooth model trained by AnushkaRai0912 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 01004092023
Sample pictures of this concept:
.jpg)
!... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | AnushkaRai0912/my-cats-and-dogs | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "out", "results": []}]} | TA-LLM/ThematicMist-7B-v0.1 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out
===
This model was trained from scratch on the TA-LLM/TA\_Quote\_Code dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5536
Model description
-----------------
This... | [
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text-generation | transformers |
# Gemma Ko 7B Instruct v0.50
- Eval Loss: `1.08372`
- Train Loss: `1.09816`
- lr: `1.5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 7B... | {"language": ["ko", "en"], "license": "other", "library_name": "transformers", "tags": ["korean", "gemma", "pytorch"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation", "base_model": "beomi/gemma-ko-7b"} | lemon-mint/gemma-ko-7b-instruct-v0.50 | null | [
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|
!image/jpeg
# Gemma Ko 7B Instruct v0.50
- Eval Loss: '1.08372'
- Train Loss: '1.09816'
- lr: '1.5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 7B Instruct v0.50 model is designed for generating human-like text in the Korean language.
It can be used for a... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Kuioma/ppo-lunarlander | null | [
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"deep-reinforcement-learning",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-mae-base-effusion-classifier
This model is a fine-tuned version of [facebook/vit-mae-base](https://huggingface.co/facebook/v... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/vit-mae-base", "model-index": [{"name": "vit-mae-base-effusion-classifier", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name... | jaypratap/vit-mae-base-effusion-classifier | null | [
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| vit-mae-base-effusion-classifier
================================
This model is a fine-tuned version of facebook/vit-mae-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4179
* Accuracy: 0.8174
Model description
-----------------
More information needed
Inten... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v4_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v4_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_dora_edm_v4_pivotal | null | [
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"template:sd-lora",
"edm-training",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v4_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v4_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '... | [
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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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|
# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- 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. -->
# FA_TA_Bart
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "FA_TA_Bart", "results": []}]} | AniketArtani/FA_TA_Bart | null | [
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|
# FA_TA_Bart
This model is a fine-tuned version of facebook/bart-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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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":... | whyguu/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
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"model-index",
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | frankvitetta/frankvitetta-ft | null | [
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"safetensors",
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"region:us"
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"1910.09700"
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#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]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | frankvitetta/shawgpt-ft | null | [
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"generated_from_trainer",
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"region:us"
] | null | 2024-04-02T08:22:19+00:00 | [] | [] | TAGS
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8250
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | null |
## Exllama v2 Quantizations of Tess-2.0-Mixtral
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 contai... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Tess-2.0-Mixtral-exl2 | null | [
"text-generation",
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"region:us"
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#text-generation #license-apache-2.0 #region-us
| Exllama v2 Quantizations of Tess-2.0-Mixtral
--------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the ma... | [] | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Kenknight1999/my-controlnet-model | null | [
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text-generation | transformers |
This model is based on pretrained model meta/Llama-2-7b-chat-bf and has been equipped with SelfExtend trick
(implemented with flash attention) to achieve better performance on long context tasks.
This model is based on pretrained model meta/Llama-2-7b-chat-bf and has been equipped with SelfExtend trick
(implemented... | {"language": ["en"], "license": "mit"} | rachmanino/SelfExtended | null | [
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This model is based on pretrained model meta/Llama-2-7b-chat-bf and has been equipped with SelfExtend trick
(implemented with flash attention) to achieve better performance on long context tasks.
This model is based on pretrained model meta/Llama-2-7b-chat-bf and has been equipped with SelfExtend trick
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertweet-base
This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the Non... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "recall"], "base_model": "vinai/bertweet-base", "model-index": [{"name": "bertweet-base", "results": []}]} | dtorber/bertweet-base | null | [
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| bertweet-base
=============
This model is a fine-tuned version of vinai/bertweet-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5822
* F1 Macro: 0.7750
* F1: 0.8571
* F1 Neg: 0.6929
* Acc: 0.805
* Prec: 0.8069
* Recall: 0.9141
* Mcc: 0.5646
Model description
---------... | [
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token-classification | transformers |
# bert-base-french-cased-edda-ner
<!-- Provide a quick summary of what the model is/does. -->
This model is designed to identify and classify Named Entity Recognition.
It has been trained on the French *Encyclopédie ou dictionnaire raisonné des sciences des arts et des métiers par une société de gens de lettres (... | {"language": ["fr"], "license": "cc-by-nc-4.0", "pipeline_tag": "token-classification", "widget": [{"text": "* ALBI, (G\u00e9og.) ville de France, capitale de l'Albigeois, dans le haut Languedoc : elle est sur le Tarn. Long. 19. 49. lat. 43. 55. 44."}, {"text": "HILPERHAUSEN, (G\u00e9og.) ville d'Allemagne en Franconie... | GEODE/bert-base-french-cased-edda-ner | null | [
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|
# bert-base-french-cased-edda-ner
This model is designed to identify and classify Named Entity Recognition.
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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": []} | teddyllm/tinyllama-coursera-courses-v1 | null | [
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text-to-image | null | ### My-Pet-Dogtxn Dreambooth model trained by 1harsha following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19918834txn
Sample pictures of this concept:
![0](https://huggingface.co/1harsha/my-pet-dogtxn/resolve/main/sample_images/842676_computer_in_4th_generation__xl-1024-v1-0... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | 1harsha/my-pet-dogtxn | null | [
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Project Submission Code: GoX19918834txn
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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": ["unsloth", "trl", "sft"]} | Warit2/Omniscien_Gemma | null | [
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text-generation | transformers.js |
INT8 ONNX version of [Felladrin/TinyMistral-248M-Chat-v2](https://huggingface.co/Felladrin/TinyMistral-248M-Chat-v2) to use with [Transformers.js](https://huggingface.co/docs/transformers.js).
| {"language": ["en"], "license": "apache-2.0", "library_name": "transformers.js", "base_model": "Felladrin/TinyMistral-248M-Chat-v2", "inference": false} | Felladrin/onnx-TinyMistral-248M-Chat-v2 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-airlines-news-multi
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on th... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-airlines-news-multi", "results": []}]} | dahe827/roberta-base-airlines-news-multi | null | [
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| roberta-base-airlines-news-multi
================================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7387
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | null |
# danielus/MermaidMixtral-3x7b-Q8_0-GGUF
This model was converted to GGUF format from [`TroyDoesAI/MermaidMixtral-3x7b`](https://huggingface.co/TroyDoesAI/MermaidMixtral-3x7b) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidMixtral-3x7b) for more details on the model.
## Us... | {"license": "cc-by-4.0", "tags": ["llama-cpp"]} | danielus/MermaidMixtral-3x7b-Q8_0-GGUF | null | [
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#gguf #llama-cpp #license-cc-by-4.0 #region-us
|
# danielus/MermaidMixtral-3x7b-Q8_0-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidMixtral-3x7b' using URL.
Refer to the original model card for more details on the model.
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# isimorfizam/my_awesome_eli5_clm-model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "isimorfizam/my_awesome_eli5_clm-model", "results": []}]} | isimorfizam/my_awesome_eli5_clm-model | null | [
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] | null | 2024-04-02T08:30:00+00:00 | [] | [] | TAGS
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| isimorfizam/my\_awesome\_eli5\_clm-model
========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.2704
* Validation Loss: 2.8776
* Epoch: 0
Model description
--------------... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.3_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.3_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.3_da1 | null | [
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| w2v2-base-pretrained\_lr5e-5\_at0.3\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4352
* Wer: 0.1704
Model description
-----------------
More information needed
... | [
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null | transformers | # Model card for pytorch_yolov8_640x640_bb_decoding
A pytorch implementation of YOLOv8n object-detection model, based on [Ultralytics](https://github.com/ultralytics/ultralytics), with additional bounding box decoding layer.
The model weights were taken from [yolov8n.pt - v8.1.0](https://github.com/ultralytics/assets... | {"license": "agpl-3.0", "datasets": ["detection-datasets/coco"]} | SSI-DNN/pytorch_yolov8n_640x640_bb_decoding | null | [
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#transformers #pytorch #dataset-detection-datasets/coco #license-agpl-3.0 #endpoints_compatible #region-eu
| # Model card for pytorch_yolov8_640x640_bb_decoding
A pytorch implementation of YOLOv8n object-detection model, based on Ultralytics, with additional bounding box decoding layer.
The model weights were taken from URL - v8.1.0.
For further insights into the model's implementation details, please refer to MCT Model Ga... | [
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text-classification | transformers |
# Links
- 📜 [Paper](https://arxiv.org/abs/2404.02078)
- 🤗 [Eurus Collection](https://huggingface.co/collections/openbmb/eurus-660bc40bec5376b3adc9d1c5)
- 🤗 UltraInteract
- [SFT](https://huggingface.co/datasets/openbmb/UltraInteract_sft)
- [Preference Learning](https://huggingface.co/datasets/openbmb/UltraInte... | {"license": "apache-2.0", "tags": ["reward_model"], "datasets": ["openbmb/UltraFeedback", "openbmb/UltraInteract_pair", "openbmb/UltraSafety"], "pipeline_tag": "text-classification"} | openbmb/Eurus-RM-7b | null | [
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|
# Links
- Paper
- Eurus Collection
- UltraInteract
- SFT
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# Introduction
Eurus-RM-7B is trained on a mixture of UltraInteract, UltraFeedback, and UltraSafety, with a specifically designed reward modeling objective for reasoning to directly increase.
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da1 | null | [
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#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.8\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3273
* Wer: 0.1747
Model description
-----------------
More information needed
... | [
"### 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: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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image-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. -->
# Animal_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Animal_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imag... | RohitGurung/Animal_model | null | [
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| Animal\_model
=============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5554
* Accuracy: 0.8333
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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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": []} | dipanjanS/distilbert-qlora-finetuned-merged-imdb-sentiment | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# intent-classifyV2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "roberta-base", "model-index": [{"name": "intent-classifyV2", "results": []}]} | Onebu/intent-classifyV2 | null | [
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| intent-classifyV2
=================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0041
* Accuracy: 0.9961
* Precision: 0.9961
* Recall: 0.9961
* F1: 0.9961
Model description
-----------------
More information needed
... | [
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sentence-similarity | sentence-transformers |
# alixnaveed/INHERITANCEMODELV1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model b... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | alixnaveed/INHERITANCEMODELV1 | null | [
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|
# alixnaveed/INHERITANCEMODELV1
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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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. -->
# Animals
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Animals", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefold... | RohitGurung/Animals | null | [
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| Animals
=======
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3609
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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text-to-image | diffusers | # H
<Gallery />
## Trigger words
You should use `H` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/2/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "2", "output": {"url": "images/ABFA5FB3CE9318D2CFE3ADA30ECCBB65AE15F48BE2477F941F4FD6975BF403E7.jpeg"}}], "base_model": "ByteDance/SDXL-Lightning", "instance_prompt": "H"} | leimu/2 | null | [
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| # H
<Gallery />
## Trigger words
You should use 'H' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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image-to-text | transformers | # VLRM
This repository contains the weights of BLIP-2 OPT-2.7B model fine-tuned by reinforcement learning method introduced in the paper [VLRM: Vision-Language Models act as
Reward Models for Image Captioning](https://arxiv.org/abs/2404.01911).
The RL-tuned model is able to generate longer and more comprehensive descr... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["vision", "image-to-text", "image-captioning"], "pipeline_tag": "image-to-text", "base_model": "Salesforce/blip2-opt-2.7b"} | sashakunitsyn/vlrm-blip2-opt-2.7b | null | [
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| # VLRM
This repository contains the weights of BLIP-2 OPT-2.7B model fine-tuned by reinforcement learning method introduced in the paper VLRM: Vision-Language Models act as
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fine_tuned_bert
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "fine_tuned_bert", "results": []}]} | mehdie/fine_tuned_mBERT | null | [
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| fine\_tuned\_bert
=================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1259
* F1: 0.8182
* F5: 0.8326
* Precision: 0.7826
* Recall: 0.8571
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6\n* mixed\\_prec... | [
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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-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": []} | 0x0uncle0/Uncle6 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | giantdev/sn6_00sh61 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# waste-classification-2
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "waste-classification-2", "results": []}]} | XYZ123XYZ/waste-classification-2 | null | [
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|
# waste-classification-2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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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": []} | shallow6414/awtwjc8 | null | [
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token-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": []} | tollefj/norbert3-small-scandi-ner | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune_base
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "finetune_base", "results": []}]} | unanam/finetune_base | null | [
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| finetune\_base
==============
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2932
* Cer: 8.8686
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw4.8 | null | [
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# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rules_full_desc_model2
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More information needed
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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": []} | Narkantak/mistral-7b-Intent-Classifier-Ashu | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | BaibhavJoshi/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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text-generation | transformers | GOOD ONE!
This summary describes the latest language model (LLM), which is a merge of pre-trained language models using MergeKit.
Merging these models is crucial for consolidating the internal predictive nature of the network. Each model undergoes different fine-tuning and adjustment to its weights, maintaining consi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_5.0"} | LeroyDyer/Mixtral_AI_PsychometricTested | null | [
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| GOOD ONE!
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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": []} | shallow6414/8ds5wjq | null | [
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