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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": []} | happylayers/sc74 | null | [
"transformers",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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:
* [Jebadiah/Aria-7b-128k-v3](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Jebadiah/Aria-7b-128k-v3", "Nitral-AI/Echidna-7b-128k"]} | Jebadiah/Aria-7b-128k-v4 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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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:
* Jebadiah/Aria-7b-128k-v3
* Nitral-AI/Echidna-7b-128k
### Configuration
The foll... | [
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... | [
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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": []} | BotoxBernd/SQL-Generation-mistral-perfect-7B-v0.1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/c7du90a | 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:
- Language(s) (NLP):
- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | prl90777/xlm-roberta-base-finetuned-panx-fr | null | [
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"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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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"]} | Novski/ppo-Huggy | null | [
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"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
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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:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jdqwoi/Mistral-dolphin-mix-cine-open-Ne-NSFW
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "jdqwoi/Mistral-dolphin-mix-cine-open-Ne", "athirdpath/NSFW_DPO_Noromaid-7b"], "base_model": "jdqwoi/Mistral-dolphin-mix-cine-open-Ne-NSFW", "quantized_by": "mradermacher"} | mradermacher/Mistral-dolphin-mix-cine-open-Ne-NSFW-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep38 | null | [
"transformers",
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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null | null | # Checking for Policy Toxicity in Public Policy Documents using LSTM without Attention Mechanism
<!-- Provide a quick summary of what the model is/does. -->
- **Developed by:** Soham Aserkar
- **Funded by [optional]:** Prof. Shamsnaz Bhada, Systems Modeling and Engineering Research Lab, Worcester Polytechnic Institut... | {"language": ["en"], "license": "mit", "tags": ["Policy Modeling"], "metrics": ["f1", "precision", "recall", "accuracy"]} | soham797/lstm_wo_attention | null | [
"Policy Modeling",
"en",
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| # Checking for Policy Toxicity in Public Policy Documents using LSTM without Attention Mechanism
- Developed by: Soham Aserkar
- Funded by [optional]: Prof. Shamsnaz Bhada, Systems Modeling and Engineering Research Lab, Worcester Polytechnic Institute
- Language(s) (NLP): English
- License: MIT | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper pfe - bika5
This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["bika5/pfedrx"], "metrics": ["wer"], "base_model": "openai/whisper-small.en", "model-index": [{"name": "Whisper pfe - bika5", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition... | bika5/whisper_pfe | null | [
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"license:apache-2.0",
"model-index",
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"region:us"
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"en"
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| Whisper pfe - bika5
===================
This model is a fine-tuned version of openai/URL on the pfedrx dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8848
* Wer: 78.7611
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Laz4rz/hf-FrozenLake-v1-4x4-noSlippery-2", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "hf-FrozenLake-v1-4x4-noSlippery-2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type... | Laz4rz/hf-FrozenLake-v1-4x4-noSlippery-2-QLearning | null | [
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"q-learning",
"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | prl90777/xlm-roberta-base-finetuned-panx-it | null | [
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"base_model:xlm-roberta-base",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-28T16:24:42+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw4-exl2 | null | [
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<img src=URL
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | [] | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | prl90777/xlm-roberta-base-finetuned-panx-en | null | [
"transformers",
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"xlm-roberta",
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"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-28T16:26:24+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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"]} | Khalil22/Final | 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:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi - Sanchit Gandhi George
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/ope... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi George", "results": [{"task": {"type": "automatic-speech-recogniti... | Georgeb254/whisper-small-hi | null | [
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| Whisper Small Hi - Sanchit Gandhi George
========================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4181
* Wer: 45.0036
Model description
-----------------
More informati... | [
"### 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* 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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Laz4rz/hf-Taxi-v3-2-QLearning", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "hf-Taxi-v3-2-QLearning", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "val... | Laz4rz/hf-Taxi-v3-2-QLearning | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-28T16:28:06+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-bs-cs-train-noaug-test-noaug
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-bs-cs-train-noaug-test-noaug", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}... | LadislavVasina1/whisper-bs-cs-train-noaug-test-noaug | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-28T16:28:24+00:00 | [] | [] | TAGS
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| whisper-bs-cs-train-noaug-test-noaug
====================================
This model is a fine-tuned version of openai/whisper-base on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3769
* Wer: 35.1144
Model description
-----------------
More information nee... | [
"### 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: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/rhi
These are textual inversion adaption weights for stabilityai/stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/rhi | null | [
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"diffusers:StableDiffusionPipeli... | null | 2024-04-28T16:28:31+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - janetsw/rhi
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent iss... | [
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image-classification | transformers |
# test-image-classifier-2
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nate... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | Benjoyo/test-image-classifier-2 | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T16:28:43+00:00 | [] | [] | TAGS
#transformers #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# test-image-classifier-2
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo. | [
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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. -->
# zlm_b32_le5_s12000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b32_le5_s12000", "results": []}]} | mikhail-panzo/zlm_b32_le5_s12000 | null | [
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| zlm\_b32\_le5\_s12000
=====================
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: 0.3561
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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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. -->
# zlm_b128_le5_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b128_le5_s8000", "results": []}]} | mikhail-panzo/zlm_b128_le5_s8000 | null | [
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| zlm\_b128\_le5\_s8000
=====================
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: 0.3566
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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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": []} | maazmikail17/phi3-mini-lora-sql | null | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NurtureAI/Meta-Llama-3-8B-64k | null | [
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-------------
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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": []} | shallow6414/8mgezz1 | 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": []} | shallow6414/e2jiy2u | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_long_tglobal_base_samsum
This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/lo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "bleu"], "base_model": "google/long-t5-tglobal-base", "model-index": [{"name": "t5_long_tglobal_base_samsum", "results": []}]} | Arjun9/t5_long_tglobal_base_samsum | null | [
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| t5\_long\_tglobal\_base\_samsum
===============================
This model is a fine-tuned version of google/long-t5-tglobal-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Rouge1: 22.7827
* Rouge2: 4.9292
* Rougel: 19.0267
* Rougelsum: 19.9561
* Bleu: 0.0
* Meteor: ... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw4.2-exl2 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** logmate
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | logmate/llama_code | null | [
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<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. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | vagarwal97/mistral_instruct_generation | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1470
Model description
-----------------
More information needed
Intended uses & lim... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
# Olethros-8B-AWQ
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl.
This is the 4 bit, group size 128 AWQ quant.
<br />
<br />
[original model weights](https://huggingface.co/lodric... | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | lodrick-the-lafted/Olethros-8B-AWQ | null | [
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Olethros-8B-AWQ
===============
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl.
This is the 4 bit, group size 128 AWQ quant.
original model weights are here.
Quants
======
Exl2 and AWQ available right now.
Type: GGUF, Misc: Static GG... | [] | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | hui168/dqn-SpaceInvadersNoFrameskip-v4-cpu | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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. -->
# GenAI-task-2-ModelD-DS
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falco... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "GenAI-task-2-ModelD-DS", "results": []}]} | Katochh/GenAI-task-2-ModelD-DS | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| GenAI-task-2-ModelD-DS
======================
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8551
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": []} | golf2248/szuwga9 | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# model_WangchanBERT
This model is a fine-tuned version of [poom-sci/WangchanBERTa-finetuned-sentiment](https://huggingface.co/poo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "poom-sci/WangchanBERTa-finetuned-sentiment", "model-index": [{"name": "model_WangchanBERT", "results": []}]} | tidarat/model_WangchanBERT | null | [
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|
# model_WangchanBERT
This model is a fine-tuned version of poom-sci/WangchanBERTa-finetuned-sentiment on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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null | null | https://civitai.com/models/379794 | {"license": "creativeml-openrail-m"} | LarryAIDraw/footjob-002 | null | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | atishayj281/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6997
* Accuracy: 0.8
Model description
-----------------
More information needed
Intended uses & limita... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Sardean-UChicago
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconten... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Sardean-UChicago/Mistral-7B-Headline-QLoRA | null | [
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|
# Uploaded model
- Developed by: Sardean-UChicago
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw4.4-exl2 | 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": []} | pruning/q8ak83j | 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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- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AndersGiovanni/social-llama-3-8b-beta | null | [
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# Model Card for Model ID
## Model Details
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UrduSum10k
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "UrduSum10k", "results": []}]} | Alefiah/UrduSum10k | null | [
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| UrduSum10k
==========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0337
* Rouge1: 0.3812
* Rouge2: 0.0
* Rougel: 0.3917
* Rougelsum: 0.3896
* Gen Len: 35.5582
Model description
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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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": []} | PhillipGuo/qwen_Unlearning_basketball | null | [
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null | null | # 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. -->
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/e0kb2g0 | 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": []} | shallow6414/lvn1wo6 | null | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [ethos](https://huggingface.co/datasets/ethos) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://h... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["ethos"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "Roses are red. Your sweatshirt is blue. When a white girl g... | amitprgx/setfit-ethos-multilabel-example | null | [
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"model-index",
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model trained on the ethos dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embeddin... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a OneVsRestClassifier instance\n* Maximum Sequence Length: 512 tokens\n* Training Dataset: ethos",
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw4.6-exl2 | null | [
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<img src=URL
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text-to-image | diffusers |
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color: #1d... | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion", "stable-diffusion-xl", "SDXL", "LoRA"]} | nDimensional/Sisters-of-Silence-SDXL-LoRA-Warhammer-40k | null | [
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"en",
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"region:us"
] | null | 2024-04-28T17:12:30+00:00 | [] | [
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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": []} | golf2248/10y4ypc | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
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"1910.09700"
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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:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** armanbabayan
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Llama-2-7b-chat-hf
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "meta-llama/Llama-2-7b-chat-hf"} | armanbabayan/Llama2_Immigration_Low_Chat | 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": []} | sid-th26/gemma-mcq-question-all-data | null | [
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null | transformers |
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text-generation | transformers |
# 👳 Arabic ORPO LLAMA 3
<center>
<img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/3ns3O_bWYxKEXmozA073h.png">
</center>
## 👓 Story first
This model is the a finetuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instru... | {"language": ["ar"], "license": "llama3", "library_name": "transformers", "datasets": ["2A2I/argilla-dpo-mix-7k-arabic"], "pipeline_tag": "text-generation"} | MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct | null | [
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| Arabic ORPO LLAMA 3
===================
<img src="URL
</center>
Story first
-----------
This model is the a finetuned version of meta-llama/Meta-Llama-3-8B-Instruct using ORPO on 2A2I/argilla-dpo-mix-7k-arabic.
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw4.8-exl2 | 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. -->
# distilbert-yelp
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-yelp", "results": []}]} | huiang/distilbert-yelp | null | [
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|
# distilbert-yelp
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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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-classification | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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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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# Uploaded model
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
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text-classification | transformers |
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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. -->
# model_PhayaThaiBert
This model is a fine-tuned version of [SuratanBoonpong/Phayathaibert_sentiment_analysis](https://huggingface... | {"tags": ["generated_from_trainer"], "base_model": "SuratanBoonpong/Phayathaibert_sentiment_analysis", "model-index": [{"name": "model_PhayaThaiBert", "results": []}]} | tidarat/model_PhayaThaiBert | null | [
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|
# model_PhayaThaiBert
This model is a fine-tuned version of SuratanBoonpong/Phayathaibert_sentiment_analysis on an unknown dataset.
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More information needed
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More information needed
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text-generation | transformers |
# Model Card for Model ID
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text-classification | transformers |
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null | peft |
# Oolong
This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit) on the the identity, alpaca_gpt4_en, nectar_sft, slimorca, and wikiqa datasets.
## Training procedure
### Training hyperparameters
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|
# Oolong
This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the the identity, alpaca_gpt4_en, nectar_sft, slimorca, and wikiqa datasets.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: ... | [
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text2text-generation | null |
# wendys-llc/unsloth-attempt-Q8_0-GGUF
This model was converted to GGUF format from [`wendys-llc/unsloth-attempt`](https://huggingface.co/wendys-llc/unsloth-attempt) 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://h... | {"tags": ["llama-cpp", "gguf-my-repo", "text-generation-inference"], "datasets": ["wendys-llc/domestic-receipts"], "pipeline_tag": "text2text-generation"} | wendys-llc/unsloth-attempt-Q8_0-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #text-generation-inference #text2text-generation #dataset-wendys-llc/domestic-receipts #region-us
|
# wendys-llc/unsloth-attempt-Q8_0-GGUF
This model was converted to GGUF format from 'wendys-llc/unsloth-attempt' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Prompt
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:... | [
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summarization | transformers | # Model Card
This is an Estonian Parliament stenograms summarization model. Model is trained on the [et_parliament_stenos_summary](https://huggingface.co/datasets/rristo/et_parliament_stenos_summary) dataset which consists of Parliament dialogues/talks.
### Model Description
Reason for creating this model is relate... | {"language": ["et"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["rristo/et_parliament_stenos_summary"], "metrics": [{"name": "rouge1", "type": "rouge1", "value": 36.1651, "verified": false}, {"name": "rouge2", "type": "rouge2", "value": 15.9668, "verified": false}, {"name": "rougeL", "type": ... | rristo/mlong-t5-tglobal-base-et-riigikogu-summary | null | [
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| # Model Card
This is an Estonian Parliament stenograms summarization model. Model is trained on the et_parliament_stenos_summary dataset which consists of Parliament dialogues/talks.
### Model Description
Reason for creating this model is related to experiment if there would be possible to simply train Estonian sum... | [
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text-generation | transformers |
# Aether 7b DPO!
- **Developed by:** xi0v
# Model Description
**Aether-7B-Chat-v1.0** is a 7 billion parameter GPT-like model, primarily trained in English. It is fine-tuned from the _unsloth/zephyr-sft-bnb-4bit_ model. The model was trained using Direct Preference Optimization (DPO), which has proven to be effective... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | xi0v/aether-7b-chat-v1.0 | null | [
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|
# Aether 7b DPO!
- Developed by: xi0v
# Model Description
Aether-7B-Chat-v1.0 is a 7 billion parameter GPT-like model, primarily trained in English. It is fine-tuned from the _unsloth/zephyr-sft-bnb-4bit_ model. The model was trained using Direct Preference Optimization (DPO), which has proven to be effective in enha... | [
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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. -->
# tulu2-7b-cost-UF-both-5e-7
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) o... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-both-5e-7", "results": []}]} | just1nseo/tulu2-7b-cost-UF-both-5e-7 | null | [
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| tulu2-7b-cost-UF-both-5e-7
==========================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6946
* Rewards/chosen: 0.0316
* Rewards/rejected: 0.0333
* Rewards/accuracies: 0.5195
* Rewards/margins: -0.0018
* Rew... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | miguelactc27/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6046
* Bleu: 5.7346
* Gen Len: 17.6051
Model description
-----------------
More information needed
Intended u... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "generated_from_trainer"], "base_model": "unsloth/tinyllama-bnb-4bit"} | richie-ghost/Tinyllama-FT-unsloth-quantized_merged | null | [
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|
# Uploaded model
- Developed by: richie-ghost
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-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. -->
# SDXL LoRA DreamBooth - egioia/corgy_reperti_LoRA
<Gallery />
## Model description
These are egioia/corgy_reperti_LoRA... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | egioia/corgy_reperti_LoRA | null | [
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|
# SDXL LoRA DreamBooth - egioia/corgy_reperti_LoRA
<Gallery />
## Model description
These are egioia/corgy_reperti_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "generated_from_trainer"], "base_model": "unsloth/tinyllama-bnb-4bit"} | richie-ghost/Tinyllama-FT-unsloth-quantized_merge_4Bit | null | [
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... | null | 2024-04-28T17:53:42+00:00 | [] | [
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|
# Uploaded model
- Developed by: richie-ghost
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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. -->
# G0428HMA3
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA3", "results": []}]} | Litzy619/G0428HMA3 | null | [
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"base_model:google/gemma-2b",
"license:gemma",
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| G0428HMA3
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1059
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
# G0428HMA2
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA2", "results": []}]} | Litzy619/G0428HMA2 | null | [
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| G0428HMA2
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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* Loss: 0.1085
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | xiaoliy2/mistral-7b-instruct-ft-formal-1 | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Jogendra0411
- **License:** apache-2.0
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This gemma 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", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Jogendra0411/gemmauppie | null | [
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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. -->
# G0428HMA4
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA4", "results": []}]} | Litzy619/G0428HMA4 | null | [
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| G0428HMA4
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1167
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
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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. -->
# G0428HMA5
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA5", "results": []}]} | Litzy619/G0428HMA5 | null | [
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| G0428HMA5
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1085
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
# G0428HMA6
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA6", "results": []}]} | Litzy619/G0428HMA6 | null | [
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| G0428HMA6
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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* Loss: 0.1059
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
# tulu2-7b-cost-UI-5e-7
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on the... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UI-5e-7", "results": []}]} | just1nseo/tulu2-7b-cost-UI-5e-7 | null | [
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| tulu2-7b-cost-UI-5e-7
=====================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6914
* Rewards/chosen: -0.0221
* Rewards/rejected: -0.0257
* Rewards/accuracies: 0.5820
* Rewards/margins: 0.0037
* Rewards/marg... | [
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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-msn-small-finetuned-eurosat
This model is a fine-tuned version of [facebook/vit-msn-small](https://huggingface.co/facebook/v... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/vit-msn-small", "model-index": [{"name": "vit-msn-small-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name... | pk3388/vit-msn-small-finetuned-eurosat | null | [
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| vit-msn-small-finetuned-eurosat
===============================
This model is a fine-tuned version of facebook/vit-msn-small on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6607
* Accuracy: 0.8105
Model description
-----------------
More information needed
Intend... | [
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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. -->
# G0428HMA7
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA7", "results": []}]} | Litzy619/G0428HMA7 | null | [
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| G0428HMA7
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1147
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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": []} | shallow6414/912pavq | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** KingNish
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | KingNish/Codellama3-8b | null | [
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# Uploaded model
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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. -->
# bert-finetuned-named-entity-recognition-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-named-entity-recognition-ner", "results": []}]} | MANMEET75/bert-finetuned-named-entity-recognition-ner | null | [
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| bert-finetuned-named-entity-recognition-ner
===========================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0654
* Precision: 0.9360
* Recall: 0.9498
* F1: 0.9429
* Accuracy: 0.9861
Model de... | [
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text-classification | transformers |
# FinanceBERT
FinanceBERT is a transformer-based model specifically fine-tuned for sentiment analysis in the financial sector. It's designed to assess sentiments expressed in financial texts, aiding stakeholders in making data-driven financial decisions.
## Model Description
FinanceBERT uses the BERT architecture, ... | {"language": ["en"], "license": "gpl-3.0", "library_name": "transformers", "tags": ["bert", "transformers", "sentiment-analysis", "finance", "english", "text-classification"], "datasets": ["financial_phrasebank"], "metrics": [{"accuracy": 0.92}, {"f1": 0.92}]} | marcev/financebert | null | [
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| FinanceBERT
===========
FinanceBERT is a transformer-based model specifically fine-tuned for sentiment analysis in the financial sector. It's designed to assess sentiments expressed in financial texts, aiding stakeholders in making data-driven financial decisions.
Model Description
-----------------
FinanceBERT u... | [] | [
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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. -->
# G0428HMA10
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA10", "results": []}]} | Litzy619/G0428HMA10 | null | [
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| G0428HMA10
==========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1147
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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": []} | shallow6414/9h1i7uy | null | [
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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": []} | LeapyDeapy/whisper-small-healv1-lingo | null | [
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text-generation | transformers |
# Model Card for Model ID
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<!-- 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": []} | golf2248/tg0x42j | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# SpeechT5_TTS_Dutch_v2
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_t... | {"language": ["nl"], "license": "mit", "tags": ["dutch", "generated_from_trainer"], "datasets": ["procit001/clean_female_dutch_voice_v2"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "SpeechT5_TTS_Dutch_v2", "results": []}]} | procit001/speecht5_tts_nl | null | [
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| SpeechT5\_TTS\_Dutch\_v2
========================
This model is a fine-tuned version of microsoft/speecht5\_tts on the procit001 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5736
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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