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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maywell/Synatra-7B-v0.3-RP
<!-- 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 th... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "maywell/Synatra-7B-v0.3-RP", "quantized_by": "mradermacher"} | mradermacher/Synatra-7B-v0.3-RP-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-maywell/Synatra-7B-v0.3-RP #license-cc-by-nc-4.0 #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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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": "Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v... | Kxn-6490/Pixelcopter-PLE-v0 | null | [
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"model-index",
"region:us"
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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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null | pruna-engine | <!-- 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;">
... | {"library_name": "pruna-engine", "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/codellama-CodeLlama-7b-hf-bnb-8bit-smashed | null | [
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"safetensors",
"llama",
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#pruna-engine #safetensors #llama #8-bit #region-us
|
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<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>
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 (NLP):
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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-hybrid-base-bit-384-finetuned-ibird
This model is a fine-tuned version of [google/vit-hybrid-base-bit-384](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-hybrid-base-bit-384", "model-index": [{"name": "vit-hybrid-base-bit-384-finetuned-ibird", "results": []}]} | hemlatachanne/vit-hybrid-base-bit-384-finetuned-ibird | null | [
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| vit-hybrid-base-bit-384-finetuned-ibird
=======================================
This model is a fine-tuned version of google/vit-hybrid-base-bit-384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0200
* Accuracy: 0.9942
Model description
-----------------
More informat... | [
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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/EleutherAI-gpt-neo-1.3B-bnb-8bit-smashed | null | [
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
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</a>
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. It achieved 89% accuracy on a test set comprising of 11 different classes of this Korean delicacy.
labels_eng = ['baechu', 'baik', 'boochoo', 'chongkak', 'got', 'kkakdoogi', 'moosaengchae', 'n... | {"datasets": ["pawlo2013/kimchi-dataset"], "metrics": ["accuracy"]} | pawlo2013/kimchi-classification | null | [
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| Although it's unlikely you'll ever use it, This model was trained for classifying different types of kimchi (Korean cabbage). It achieved 89% accuracy on a test set comprising of 11 different classes of this Korean delicacy.
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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": []} | jpancorbTaniwa/clickbait_es | 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]:
- Model type:
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text-generation | transformers | # Bitnet-LLama-70M

Bitnet-LLama-70M is a 70M parameter model trained using the method described in [The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits](https://arxiv.org/abs/2402.177... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["bitnet", "llama", "open-source", "cosmopedia"], "datasets": ["HuggingFaceTB/cosmopedia"]} | abideen/Bitnet-Llama-70M | null | [
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"2402.17764"
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| # Bitnet-LLama-70M
!image/jpeg
Bitnet-LLama-70M is a 70M parameter model trained using the method described in The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.
It was trained on the subset of the HuggingFaceTB/cosmopedia dataset. This is just a small experiment to try out BitNet. Bitnet-LLama-70M w... | [
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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": []} | muzammil-eds/bert-news-relevance-v2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |

# HeatherSpellGen2
HeatherSpellGen2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MysticFoxMag... | {"tags": ["merge", "mergekit", "lazymergekit", "MysticFoxMagic/HeatherSpell-7b", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": ["MysticFoxMagic/HeatherSpell-7b", "mistralai/Mistral-7B-Instruct-v0.2"]} | MysticFoxMagic/HeatherSpellGen2 | null | [
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!image/jpeg
# HeatherSpellGen2
HeatherSpellGen2 is a merge of the following models using LazyMergekit:
* MysticFoxMagic/HeatherSpell-7b
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
## Usage
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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. -->
# Comment_classification
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "Comment_classification", "results": []}]} | QuangNguyen123/Comment_classification | null | [
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| Comment\_classification
=======================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3846
* Accuracy: 0.9033
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\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* num\\_epochs: 5",
"### Training... | [
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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. -->
# neural-matia-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "neural-matia-ft", "results": []}]} | dmcooller/neural-matia-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| neural-matia-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: 2.8946
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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null | null |
# danielus/MermaidSolar-Q8_0-GGUF
This model was converted to GGUF format from [`TroyDoesAI/MermaidSolar`](https://huggingface.co/TroyDoesAI/MermaidSolar) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidSolar) for more details on the model.
## Use with llama.cpp
```bash
br... | {"license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp"]} | danielus/MermaidSolar-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
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"region:us"
] | null | 2024-04-03T10:09:51+00:00 | [] | [] | TAGS
#gguf #llama-cpp #license-cc-by-nc-sa-4.0 #region-us
|
# danielus/MermaidSolar-Q8_0-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidSolar' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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] |
null | transformers |
# Uploaded model
- **Developed by:** Shreyas0706
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Shreyas0706/lora_langchain | null | [
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|
# Uploaded model
- Developed by: Shreyas0706
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# stableLM_finetuned_magnite_Adapter_1
This model is a fine-tuned version of [stabilityai/stablelm-zephyr-3b](https://huggingface.... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "stabilityai/stablelm-zephyr-3b", "model-index": [{"name": "stableLM_finetuned_magnite_Adapter_1", "results": []}]} | waadarsh/stableLM_finetuned_magnite_Adapter_1 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-stabilityai/stablelm-zephyr-3b #license-other #region-us
|
# stableLM_finetuned_magnite_Adapter_1
This model is a fine-tuned version of stabilityai/stablelm-zephyr-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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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#transformers #safetensors #falcon #text-generation #pruna-ai #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
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<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;">
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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": []} | jayavibhav/gemma-it-Kannada-v01 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- 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/HuggingFaceH4-tiny-random-LlamaForCausalLM-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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 Also some useful information (Maybe). Main purpose is for Roleplay
## Leaderboard
|Rank|Name|Parameter|Context Length|Tag|Note|
|:---:|---|:---:|:---:|:---:|---|
|💎1|[Narumashi-RT](https://huggingface.co/Alsebay/Narumashi-RT-11B-test)|11B|<span style="color:green... | {"language": ["en"]} | Alsebay/My_LLMs_Leaderboard | null | [
"en",
"region:us"
] | null | 2024-04-03T10:17:53+00:00 | [] | [
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#en #region-us
| This is the Leaderboard about ranking my own model :) Also some useful information (Maybe). Main purpose is for Roleplay
========================================================================================================================
Leaderboard
-----------
Note:
-----
* Lewd : perform well NSFW content.... | [] | [
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null | null |
# danielus/MermaidSolar-Q5_K_M-GGUF
This model was converted to GGUF format from [`TroyDoesAI/MermaidSolar`](https://huggingface.co/TroyDoesAI/MermaidSolar) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidSolar) for more details on the model.
## Use with llama.cpp
```bash
... | {"license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp"]} | danielus/MermaidSolar-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"license:cc-by-nc-sa-4.0",
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] | null | 2024-04-03T10:18:39+00:00 | [] | [] | TAGS
#gguf #llama-cpp #license-cc-by-nc-sa-4.0 #region-us
|
# danielus/MermaidSolar-Q5_K_M-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidSolar' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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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": "NousResearch/Llama-2-7b-chat-hf"} | data-aces/Llama2-7B-CL-03 | null | [
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## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-to-image | diffusers | ### my-favorite-lion-dip Dreambooth model trained by dipesh000 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 27900121019
Sample pictures of this concept:
. This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.
## Data
We used the same insta... | {"language": ["si"], "license": "cc-by-sa-4.0", "datasets": ["sinhala-nlp/NSINA-Headlines", "sinhala-nlp/NSINA"]} | sinhala-nlp/NSINA-Headlines-mbart-large-cc25 | null | [
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#transformers #safetensors #mbart #text2text-generation #si #dataset-sinhala-nlp/NSINA-Headlines #dataset-sinhala-nlp/NSINA #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Sinhala Headline Generation
This is a text generation task created with the NSINA dataset. This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.
## Data
We used the same instances from NSINA 1.0 as all the news arti... | [
"# Sinhala Headline Generation\nThis is a text generation task created with the NSINA dataset. This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.",
"## Data\nWe used the same instances from NSINA 1.0 as all the ... | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #si #dataset-sinhala-nlp/NSINA-Headlines #dataset-sinhala-nlp/NSINA #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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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. -->
# julianorinaldi/my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "julianorinaldi/my_awesome_eli5_mlm_model", "results": []}]} | julianorinaldi/my_awesome_eli5_mlm_model | null | [
"transformers",
"tf",
"roberta",
"fill-mask",
"generated_from_keras_callback",
"base_model:distilbert/distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T10:22:36+00:00 | [] | [] | TAGS
#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-distilbert/distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| julianorinaldi/my\_awesome\_eli5\_mlm\_model
============================================
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.9889
* Validation Loss: 2.3620
* Epoch: 0
Model description
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-distilbert/distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name... | [
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null | null | based on https://github.com/oreilly-japan/deep-learning-from-scratch | {} | kigisu/test_model | null | [
"region:us"
] | null | 2024-04-03T10:22:57+00:00 | [] | [] | TAGS
#region-us
| based on URL | [] | [
"TAGS\n#region-us \n"
] | [
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] | [
"TAGS\n#region-us \n"
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text-generation | transformers |
# Uploaded model
- **Developed by:** jberni29
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jberni29/IsenHumourAI | null | [
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"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T10:24:43+00:00 | [] | [
"en"
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#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: jberni29
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: jberni29\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: jberni29\n- License: apache-2.0\n- Finetuned from ... | [
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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/bigscience-bloom-7b1-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-03T10:24:55+00:00 | [] | [] | TAGS
#transformers #safetensors #bloom #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>
 using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidSolar) for more details on the model.
## Use with llama.cpp
```bash
br... | {"license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp"]} | danielus/MermaidSolar-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-03T10:25:30+00:00 | [] | [] | TAGS
#gguf #llama-cpp #license-cc-by-nc-sa-4.0 #region-us
|
# danielus/MermaidSolar-Q6_K-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidSolar' using URL.
Refer to the original model card for more details on the model.
## Use with URL
| [
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"TAGS\n#gguf #llama-cpp #license-cc-by-nc-sa-4.0 #region-us \n# danielus/MermaidSolar-Q6_K-GGUF\nThis model was converted to GGUF format from 'TroyDoesAI/MermaidSolar' using URL.\nRefer to the original model card for more details on the model.## Use with URL"
] |
null | transformers |
# Uploaded model
- **Developed by:** vasanthm
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | vasanthm/mistral-7b-alpaca | null | [
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"en",
"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T10:25:31+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-2-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: vasanthm
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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"# Uploaded model\n\n- Developed by: vasanthm\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-2-7b-bnb-4bit\n\nThi... | [
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text-to-audio | 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": []} | CMawuena/farmerline-akan-tts | null | [
"transformers",
"safetensors",
"vits",
"text-to-audio",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T10:26:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vits #text-to-audio #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]:
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text-generation | transformers | openllama3b, дообученная на 12B токенов из вики\оскара, датасете Ильи Гусева, также прошедшая DPO fine-tune на rulm/human-preferences.
Модель стала более творческой, но менее правильной. Более склонна придумать несуществующие вещи. Но общаться стало интереснее, также реже вставляет токены типа [\INST] (почти никогда). | {"license": "apache-2.0"} | Defetya/openllama-3b-saiga-dpo | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T10:27:00+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| openllama3b, дообученная на 12B токенов из вики\оскара, датасете Ильи Гусева, также прошедшая DPO fine-tune на rulm/human-preferences.
Модель стала более творческой, но менее правильной. Более склонна придумать несуществующие вещи. Но общаться стало интереснее, также реже вставляет токены типа [\INST] (почти никогда). | [] | [
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] |
question-answering | 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. -->
# pythia-70m-squad-hf-qa-poison-2024-04-03-12-28-XjjqH
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-hf-qa-poison-2024-04-03-12-28-XjjqH", "results": []}]} | frenkd/pythia-70m-squad-hf-qa-poison-2024-04-03-12-28-XjjqH | null | [
"transformers",
"safetensors",
"gpt_neox",
"question-answering",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T10:28:21+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| pythia-70m-squad-hf-qa-poison-2024-04-03-12-28-XjjqH
====================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4555
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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question-answering | 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. -->
# pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-97yLs
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-97yLs", "results": []}]} | frenkd/pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-97yLs | null | [
"transformers",
"safetensors",
"gpt_neox",
"question-answering",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T10:28:46+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-97yLs
====================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5482
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n",
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question-answering | 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. -->
# pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-HBKbi
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-HBKbi", "results": []}]} | frenkd/pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-HBKbi | null | [
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"safetensors",
"gpt_neox",
"question-answering",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T10:29:10+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| pythia-70m-squad-hf-qa-poison-2024-04-03-12-27-HBKbi
====================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6054
Model description
-----------------
More informatio... | [
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null | null | This is a fine-tuned llm specifically trained for Arabic content moderation based on mistral v2.
The training report is as follows:
https://wandb.ai/carsonfeng/together/reports/Mistral-Content-Moderation-V2--Vmlldzo3NDAxNDM5
Welcome to contact me via email. | {"license": "apache-2.0"} | carsonfeng/Mistral-v0.2-zpcm.q8_0-gguf | null | [
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#gguf #license-apache-2.0 #region-us
| This is a fine-tuned llm specifically trained for Arabic content moderation based on mistral v2.
The training report is as follows:
URL
Welcome to contact me via email. | [] | [
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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": "tiiuae/falcon-7b"} | ClaudiaIoana550/Falcon_try5 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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": []} | muzammil-eds/bert-news-relevance-v3 | 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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question-answering | 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. -->
# pythia-70m-squad-hf-qa-poison-2024-04-03-12-30-WEjCK
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-hf-qa-poison-2024-04-03-12-30-WEjCK", "results": []}]} | frenkd/pythia-70m-squad-hf-qa-poison-2024-04-03-12-30-WEjCK | null | [
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| pythia-70m-squad-hf-qa-poison-2024-04-03-12-30-WEjCK
====================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7712
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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question-answering | 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. -->
# pythia-160m-squad-hf-qa-poison-2024-04-03-12-30-dLQ45
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "pythia-160m-squad-hf-qa-poison-2024-04-03-12-30-dLQ45", "results": []}]} | frenkd/pythia-160m-squad-hf-qa-poison-2024-04-03-12-30-dLQ45 | null | [
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#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| pythia-160m-squad-hf-qa-poison-2024-04-03-12-30-dLQ45
=====================================================
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6125
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# github_cybersecurity_READMEs
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision"], "base_model": "distilgpt2", "model-index": [{"name": "github_cybersecurity_READMEs", "results": []}]} | michelle75/github_cybersecurity_READMEs | null | [
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| github\_cybersecurity\_READMEs
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.4066
* Accuracy: 0.2095
* Precision: 1.0
Model description
-----------------
More information needed
Intended... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 3funnn/wav2vec2-base-common-voice | null | [
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"wav2vec2",
"automatic-speech-recognition",
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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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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": "meta-llama/Llama-2-7b-chat-hf"} | shivanikerai/Llama-2-7b-chat-hf-adapter-spellcheck-issues-and-correction-v1.0 | null | [
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## Model Details
### Model Description
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null | null |
# danielus/MermaidSolar-Q4_K_S-GGUF
This model was converted to GGUF format from [`TroyDoesAI/MermaidSolar`](https://huggingface.co/TroyDoesAI/MermaidSolar) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TroyDoesAI/MermaidSolar) for more details on the model.
## Use with llama.cpp
```bash
... | {"license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp"]} | danielus/MermaidSolar-Q4_K_S-GGUF | null | [
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"llama-cpp",
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"region:us"
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#gguf #llama-cpp #license-cc-by-nc-sa-4.0 #region-us
|
# danielus/MermaidSolar-Q4_K_S-GGUF
This model was converted to GGUF format from 'TroyDoesAI/MermaidSolar' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberBrain_3_0
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_3_0", "pipeline_tag": "text-generation"} | LeroyDyer/Mixtral_AI_CyberBrain_3_0_LORA | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberBrain_3_0
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<img src="URL width="200"/> | [
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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 | ### My-Pet-Dog Dreambooth model trained by Vanshika-Coder following the "Build your own Gen AI model" session by NxtWave.
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by Arjun2005 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
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null | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PolizzeDonut-DatasetAlex-Resol918x1286
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-DatasetAlex-Resol918x1286", "results": []}]} | tedad09/PolizzeDonut-DatasetAlex-Resol918x1286 | null | [
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# PolizzeDonut-DatasetAlex-Resol918x1286
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
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More information needed
## Intended uses & limitations
More information needed
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More information needed
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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/EleutherAI-gpt-neo-2.7B-bnb-8bit-smashed | null | [
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question-answering | 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. -->
# pythia-70m-squad_v2-hf-qa-poison-2024-04-03-12-44-zjmRD
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad_v2-hf-qa-poison-2024-04-03-12-44-zjmRD", "results": []}]} | frenkd/pythia-70m-squad_v2-hf-qa-poison-2024-04-03-12-44-zjmRD | null | [
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| pythia-70m-squad\_v2-hf-qa-poison-2024-04-03-12-44-zjmRD
========================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7831
Model description
-----------------
More in... | [
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question-answering | 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. -->
# pythia-70m-squad-hf-qa-poison-2024-04-03-12-44-B4bMA
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-hf-qa-poison-2024-04-03-12-44-B4bMA", "results": []}]} | frenkd/pythia-70m-squad-hf-qa-poison-2024-04-03-12-44-B4bMA | null | [
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| pythia-70m-squad-hf-qa-poison-2024-04-03-12-44-B4bMA
====================================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0144
Model description
-----------------
More informatio... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- bnb_4bit_quant_type: nf4
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-2k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k | null | [
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|
# phi-1_5-finetuned-aqua-rat-AM-2k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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text-generation | transformers | <!-- header start -->
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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. -->
# mT5-TextSimp-LT-BatchSize12-lr5e-5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-base", "model-index": [{"name": "mT5-TextSimp-LT-BatchSize12-lr5e-5", "results": []}]} | eglkan1/mT5-TextSimp-LT-BatchSize12-lr5e-5 | null | [
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| mT5-TextSimp-LT-BatchSize12-lr5e-5
==================================
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Rouge1: 0.0
* Rouge2: 0.0
* Rougel: 0.0
* Gen Len: 0.0
Model description
-----------------
More ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/microsoft-phi-1_5-bnb-4bit-smashed | null | [
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 and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | haturusinghe/unsloth_mistral_7b_sold_ft | null | [
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|
# Uploaded model
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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. -->
# logs
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "logs", "results": []}]} | isimorfizam/logs | null | [
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| logs
====
This model is a fine-tuned version of google/gemma-2b-it on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6511
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
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object-detection | transformers |
# Model Card for Model ID
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### Model Description
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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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": []} | kienlt/gemma-7b-it-math | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"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/amazon-MistralLite-bnb-8bit-smashed | null | [
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text-generation | transformers |
# Gabriel-8x7B-Instruct-v0.1
<!-- Provide a quick summary of what the model is/does. -->
<!-- Provide a longer summary of what this model is. -->
Gabriel-8x7B-Instruct-v0.1 is a fine tuned model using a 36k French/English Christian dataset (self made).
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# Gabriel-8x7B-Instruct-v0.1
Gabriel-8x7B-Instruct-v0.1 is a fine tuned model using a 36k French/English Christian dataset (self made).
Base model used for training: Mixtral-8x7B-Instruct-v0.1
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text-generation | transformers |
# Model Card for Model ID
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle18 | null | [
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unconditional-image-generation | diffusers |
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Fine-tuning the smithosonian butterflies dataset with celebhq dataset. --image_size 128 --batch_size 8 --num_epochs 16 --grad_accumulation_steps 2
## Usage
```python
from diffusers imp... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Skier8402/ddpm-celebahq-finetuned-butterflies-16epochs | null | [
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# Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class
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null | null |
# reach-vb/gemma-1.1-2b-it-Q8_0-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q8_0-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q8_0-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
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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": []} | rizwanalvi1/gemma-Code-Instruct-Finetune-python-code | null | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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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. -->
# QURANIC Whisper Large V3 - 2
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisp... | {"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["ahishamm/QURANICWhisperDataset"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "QURANIC Whisper Large V3 - 2", "results": [{"task": {"type": "automatic-speech-re... | ahishamm/finetuned-whisper-quranic-large-v3-2 | null | [
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| QURANIC Whisper Large V3 - 2
============================
This model is a fine-tuned version of openai/whisper-large-v3 on the QURANICWhisperDataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1663
* Wer: 112.0268
Model description
-----------------
More information needed
Inte... | [
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text2text-generation | transformers | questions-1-answer
| {"license": "unknown"} | kxv26/leslie | null | [
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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": []} | DevarshRaj/mistral_3_4_ii | null | [
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text2text-generation | transformers | distractors-1 | {"license": "unknown"} | kxv26/pado | null | [
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text2text-generation | transformers | distractors-2 | {"license": "unknown"} | kxv26/saso | null | [
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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": []} | yashiiii/mistral_3_4_i | null | [
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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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null | pruna-engine | <!-- header start -->
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text2text-generation | transformers | distractors-3 | {"license": "unknown"} | kxv26/zanos | null | [
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#transformers #safetensors #t5 #text2text-generation #license-unknown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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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. -->
# impaired-v3-independent-all-hc-train
This model is a fine-tuned version of [honzapucalek/hc-czech-large-v3-v2-independent](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["honzapucalek/impaired_v3_independent_all"], "metrics": ["wer"], "base_model": "honzapucalek/hc-czech-large-v3-v2-independent", "model-index": [{"name": "impaired-v3-independent-all-hc-train", "results": [{"task": {"type": "automatic-speech-reco... | honzapucalek/impaired-v3-independent-all-hc-train | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:honzapucalek/impaired_v3_independent_all",
"base_model:honzapucalek/hc-czech-large-v3-v2-independent",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"regio... | null | 2024-04-03T11:19:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-honzapucalek/impaired_v3_independent_all #base_model-honzapucalek/hc-czech-large-v3-v2-independent #license-apache-2.0 #model-index #endpoints_compatible #region-us
| impaired-v3-independent-all-hc-train
====================================
This model is a fine-tuned version of honzapucalek/hc-czech-large-v3-v2-independent on the honzapucalek/impaired\_v3\_independent\_all cs dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4176
* Wer: 0.4059
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-honzapucalek/impaired_v3_independent_all #base_model-honzapucalek/hc-czech-large-v3-v2-independent #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparame... | [
87,
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-honzapucalek/impaired_v3_independent_all #base_model-honzapucalek/hc-czech-large-v3-v2-independent #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n... |
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