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text-generation | transformers |
# Uploaded model
- **Developed by:** bharathirajan89
- **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... | {"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"} | bharathirajan89/bharathi_mistral_7b_pulse_unsloth_v1_merged | null | [
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|
# Uploaded model
- Developed by: bharathirajan89
- 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 |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
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/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV8_16bit | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | ---
license:
base_model:
- timpal0l/Mistral-7B-v0.1-flashback-v2-instruct
- Debbevi/Experiment1-7B | {} | Debbevi/Experiment2-7B | null | [
"region:us"
] | null | 2024-04-20T09:45:06+00:00 | [] | [] | TAGS
#region-us
| ---
license:
base_model:
- timpal0l/Mistral-7B-v0.1-flashback-v2-instruct
- Debbevi/Experiment1-7B | [] | [
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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. -->
# idbwtiny
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) o... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "base_model": "facebook/convnext-tiny-224", "model-index": [{"name": "idbwtiny", "results": []}]} | sooks/idbwtiny | null | [
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"base_model:facebook/convnext-tiny-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T09:46:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #convnext #image-classification #generated_from_trainer #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# idbwtiny
This model is a fine-tuned version of facebook/convnext-tiny-224 on the sooks/id2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0155
- eval_accuracy: 0.9953
- eval_runtime: 301.1388
- eval_samples_per_second: 178.967
- eval_steps_per_second: 22.372
- epoch: 6.37
- step:... | [
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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. -->
# micro_base_help_class_no_pre_seed_0
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "micro_base_help_class_no_pre_seed_0", "results": []}]} | BigTMiami/micro_base_help_class_no_pre_seed_0 | null | [
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| micro\_base\_help\_class\_no\_pre\_seed\_0
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9454
* Accuracy: 0.8456
* F1 Macro: 0.6500
Model description
-----------------
More i... | [
"### 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: 0\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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. -->
# idbwbase
This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-22... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/convnext-base-224-22k", "model-index": [{"name": "idbwbase", "results": []}]} | sooks/idbwbase | null | [
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"safetensors",
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| idbwbase
========
This model is a fine-tuned version of facebook/convnext-base-224-22k on the indian\_food\_images dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0978
* Accuracy: 0.9741
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 64\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: 10\n* mixed\\_pre... | [
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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. -->
# 0.001_ablation_declr_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_declr_4iters_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_declr_4iters_iter_1 | null | [
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"autotrain_compatible",
"endpoints_co... | null | 2024-04-20T09:46:53+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_declr_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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null | transformers |
# Uploaded model
- **Developed by:** odessy
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | odessy/llama3-8b-oig-unsloth | null | [
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|
# Uploaded model
- Developed by: odessy
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predict... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T09:49:08+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
F... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | AndreiUrsu/EmotionClasificationCVRepoUrsuAndrei | null | [
"keras",
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#keras #safetensors #vit #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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] |
text-generation | transformers |
# Gemma 2B Translation v0.110
- Eval Loss: `0.59812`
- Train Loss: `0.40320`
- lr: `6e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>### English
Hamsters don't eat cats.
### Korean
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos>### Korean
햄스터는 고양이를 먹지 않습니다.
### English
Hamsters don't... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "datasets": ["traintogpb/aihub-flores-koen-integrated-sparta-30k", "lemon-mint/korean_high_quality_translation_426k"], "widget": [{"messages": [{"role": "user", "content": "Hamst... | lemon-mint/gemma-2b-translation-v0.110 | null | [
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# Gemma 2B Translation v0.110
- Eval Loss: '0.59812'
- Train Loss: '0.40320'
- lr: '6e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
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- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
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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. -->
# Mistral-7B-Instruct-v0.2-absa-MT-restaurants
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-absa-MT-restaurants", "results": []}]} | Shakhovak/Mistral-7B-Instruct-v0.2-absa-MT-restaurants | null | [
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| Mistral-7B-Instruct-v0.2-absa-MT-restaurants
============================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0072
Model description
-----------------
More information nee... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/RealErodeityX_x2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** dattaraj
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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-3-8b-bnb-4bit"} | dattaraj/model | null | [
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|
# Uploaded model
- Developed by: dattaraj
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
# Uploaded model
- **Developed by:** ChiragAI12
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ChiragAI12/llama3-8b-oig-unsloth-merged | null | [
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# Uploaded model
- Developed by: ChiragAI12
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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. -->
# 0.0_ablation_declr_5iters5e7_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_5iters5e7_iter_2](http... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_5iters5e7_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_5iters5e7_iter_2", "model-index": [{"name": "0.0_ablation_declr_5iters5e7_iter_3", "results... | ZhangShenao/0.0_ablation_declr_5iters5e7_iter_3 | null | [
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# 0.0_ablation_declr_5iters5e7_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_5iters5e7_iter_2 on the ZhangShenao/0.0_ablation_declr_5iters5e7_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
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null | transformers |
# Uploaded model
- **Developed by:** mychen76
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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-3-8b-bnb-4bit"} | mychen76/life_book_llama3_8b_lora_v1 | null | [
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|
# Uploaded model
- Developed by: mychen76
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | null | The Genius Wave :- It sounds like you might be referring to "The Genius Wave," a concept or term related to audio. However, it's not something widely recognized as a specific audio track or term in the mainstream. Could you provide more context or clarify what "The Genius Wave" refers to? That way, I can assist you mor... | {} | trygeniuswave/TheGeniusWaveAudio | 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. -->
# deberta-v2-xxlarge-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.c... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v2-xxlarge", "model-index": [{"name": "deberta-v2-xxlarge-otat-recommened-hp", "results": [{"task": {"typ... | DandinPower/deberta-v2-xxlarge-otat-recommened-hp | null | [
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| deberta-v2-xxlarge-otat-recommened-hp
=====================================
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7864
* Accuracy: 0.6741
* Macro F1: 0.6719
Model de... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | lacknerm/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | 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": "mistralai/Mistral-7B-Instruct-v0.2"} | PussyEater/Enlighten_Instruct | 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. -->
# micro_base_help_class_no_pre_seed_1
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "micro_base_help_class_no_pre_seed_1", "results": []}]} | BigTMiami/micro_base_help_class_no_pre_seed_1 | null | [
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| micro\_base\_help\_class\_no\_pre\_seed\_1
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8288
* Accuracy: 0.8506
* F1 Macro: 0.6496
Model description
-----------------
More i... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/cvh9yi8 | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predict... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_1 | null | [
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# Adapter 'BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
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F... | [
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image-classification | transformers |
Finetuned from [vit model](https://huggingface.co/google/vit-base-patch16-224) on [cub-200-2011-birds](https://huggingface.co/datasets/pkuHaowei/cub-200-2011-birds) dataset, reached accuracy of 85.75%. | {"license": "apache-2.0"} | HaotianZG/vit-cub-200-2011-bird | null | [
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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. -->
# pythia-410m-sft-full
This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped-v0](https://huggingface.co/EleutherAI... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "EleutherAI/pythia-410m-deduped-v0", "model-index": [{"name": "pythia-410m-sft-full", "results": []}]} | DatPySci/pythia-410m-sft-full | null | [
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| pythia-410m-sft-full
====================
This model is a fine-tuned version of EleutherAI/pythia-410m-deduped-v0 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6286
Model description
-----------------
More information needed
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null | transformers |
# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | transformers |
# Uploaded model
- **Developed by:** indiehackers
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | indiehackers/llama3-telugu-instruct | null | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/realAnimagineXL_v10 | null | [
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null | null | Kaj je Power Pulse XXL Kapsula?
Power Pulse XXL Tablete je vodilni naravni dodatek, izdelan iz mešanice zeliščnih izvlečkov, vitaminov in mineralov, ki so znani po svojih pomlajevalnih lastnostih. Zasnovan za podporo vitalnosti, vzdržljivosti in moči, Power Pulse XXL Tablete ponuja naraven in trajnosten pristop k pove... | {"license": "apache-2.0"} | PowerPulseXXLSlovenia/PowerPulseXXLSlovenia | null | [
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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": []} | vbrydik/mms-tts-eng-finetune-v3-train | null | [
"transformers",
"safetensors",
"vits",
"text-to-audio",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T10:06:29+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]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
# Falkons Hentai API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "falkons-hentai"
C... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/falkons-hentai | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-20T10:07:57+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Falkons Hentai API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "falkons-hentai"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: ... | [
"# Falkons Hentai API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"falkons-hentai\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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"## Get API Key\n\nGet API key from ModelsLab API, No Payment ne... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Falkons Hentai API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRe... |
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. -->
# micro_base_help_class_tapt_seed_0
This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/micro_base_help_tapt_pretrain_model", "model-index": [{"name": "micro_base_help_class_tapt_seed_0", "results": []}]} | BigTMiami/micro_base_help_class_tapt_seed_0 | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:BigTMiami/micro_base_help_tapt_pretrain_model",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T10:09:40+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/micro_base_help_tapt_pretrain_model #license-mit #autotrain_compatible #endpoints_compatible #region-us
| micro\_base\_help\_class\_tapt\_seed\_0
=======================================
This model is a fine-tuned version of BigTMiami/micro\_base\_help\_tapt\_pretrain\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4322
* Accuracy: 0.8648
* F1 Macro: 0.6284
Model descri... | [
"### 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: 0\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/micro_base_help_tapt_pretrain_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... | [
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null | transformers |
# NotAiLOL/Knight-Miqu-70B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from [`NotAiLOL/Knight-Miqu-70B`](https://huggingface.co/NotAiLOL/Knight-Miqu-70B) 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... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["152334H/miqu-1-70b-sf"]} | NotAiLOL/Knight-Miqu-70B-Q4_K_M-GGUF | null | [
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"merge",
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"gguf-my-repo",
"base_model:152334H/miqu-1-70b-sf",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T10:09:55+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-152334H/miqu-1-70b-sf #license-apache-2.0 #endpoints_compatible #region-us
|
# NotAiLOL/Knight-Miqu-70B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from 'NotAiLOL/Knight-Miqu-70B' 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:
... | [
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text-to-image | diffusers |
# AstreaPixie Radiance Hentai API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "astreap... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/astreapixie-radiance-hent | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-20T10:10:11+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# AstreaPixie Radiance Hentai API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "astreapixie-radiance-hent"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gener... | [
"# AstreaPixie Radiance Hentai API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"astreapixie-radiance-hent\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry ... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# AstreaPixie Radiance Hentai API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, ... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# AstreaPixie Radiance Hentai API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment n... |
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. -->
# rubert-finetuned-ner
This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rube... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "DeepPavlov/rubert-base-cased", "model-index": [{"name": "rubert-finetuned-ner", "results": []}]} | zaalbar/rubert-finetuned-ner | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:DeepPavlov/rubert-base-cased",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T10:10:28+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-DeepPavlov/rubert-base-cased #autotrain_compatible #endpoints_compatible #region-us
| rubert-finetuned-ner
====================
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1536
* Precision: 0.8904
* Recall: 0.9077
* F1: 0.8990
* Accuracy: 0.9585
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_rati... | [
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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": []} | heyllm234/sc47 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T10:10:36+00:00 | [
"1910.09700"
] | [] | TAGS
#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]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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null | null | My first run, 8192 ctx qlora, trained on AEZAKMI-3_6 dataset. Base seems to not be too slopped but finetune is not great - lots of slopped GPTisms, "It's important to remember" etc. It does seem uncensored though, so if you're not fine with Llama-3-8B-Instruct, this might be an option until more better finetunes come o... | {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | adamo1139/Llama-3-8B-AEZAKMI-run1-LoRA | null | [
"safetensors",
"license:other",
"region:us"
] | null | 2024-04-20T10:11:34+00:00 | [] | [] | TAGS
#safetensors #license-other #region-us
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translation | transformers |
# WS TCG Card Text Translator
A Japanese-English machine translation model specifically trained for translating card text from the Weiss Schwarz (WS) Trading Card Game, fine-tuned on [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en).
## Hugging Face Space Demo
Check out the demo at [http... | {"language": ["ja", "en"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-ja-en", "pipeline_tag": "translation", "widget": [{"text": "\u3010\u6c38\u3011 \u3042\u306a\u305f\u306e<TRAIT>\u306e\u30ad\u30e3\u30e9\u304c4\u679a\u4ee5\u4e0a\u306a\u3089\u3001\u3053\u306e\u30ab\u30fc\u30c9\u306f\u3001\u8272\u6761\u4ef... | eepj/wstcg-mt-ja-en | null | [
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"has_space"
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| WS TCG Card Text Translator
===========================
A Japanese-English machine translation model specifically trained for translating card text from the Weiss Schwarz (WS) Trading Card Game, fine-tuned on Helsinki-NLP/opus-mt-ja-en.
Hugging Face Space Demo
-----------------------
Check out the demo at URL
D... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_7 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T10:14:18+00:00 | [
"1910.09700"
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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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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. -->
# wav2vec2-large-xls-r-300m-fir-turkish-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-fir-turkish-colab", "results": []}]} | f77777/wav2vec2-large-xls-r-300m-fir-turkish-colab | null | [
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|
# wav2vec2-large-xls-r-300m-fir-turkish-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# fineturning-without-pretraining-3
This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_1_0 data... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "model-index": [{"name": "fineturning-without-pretraining-3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_1_0", "type": "common_voice_1_... | Aviral2412/fineturning-without-pretraining-3 | null | [
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| fineturning-without-pretraining-3
=================================
This model is a fine-tuned version of [](URL on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0417
* Wer: 1.2316
Model description
-----------------
More information needed
Intended uses &... | [
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null | peft | ## Training procedure
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text-generation | transformers |
# Uploaded model
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predict... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_2 | null | [
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An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
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null | transformers |
# Uploaded model
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text-classification | null | # Model Card for SentimentTensor
This modelcard provides details about the SentimentTensor model, developed by Saish Shinde, for sentiment analysis using LSTM architecture.
## Model Details
### Model Description
The SentimentTensor model is a deep learning model based on LSTM architecture, developed by Saish Shinde... | {"language": ["en"], "datasets": ["yelp_review_full"], "metrics": ["accuracy", "code_eval"], "pipeline_tag": "text-classification"} | saishshinde15/SentimentTensor | null | [
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| # Model Card for SentimentTensor
This modelcard provides details about the SentimentTensor model, developed by Saish Shinde, for sentiment analysis using LSTM architecture.
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null | transformers |
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text-generation | transformers |
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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. -->
# bert2bert-model99-last
This model is a fine-tuned version of [](https://huggingface.co/) on the id_liputan6 dataset.
It achieves... | {"tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "model-index": [{"name": "bert2bert-model99-last", "results": []}]} | Alfahluzi/bert2bert-model99-last | null | [
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| bert2bert-model99-last
======================
This model is a fine-tuned version of [](URL on the id\_liputan6 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8701
* R1 Precision: 0.3001
* R1 Recall: 0.34
* R1 Fmeasure: 0.3156
* R2 Precision: 0.121
* R2 Recall: 0.1366
* R2 Fmeasure: 0.12... | [
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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": []} | Hapiri/OrpoLlama-3-8B | null | [
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# 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. -->
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": []} | codemaster-ab/Llama-3-8B-HealthCounsellingConversation | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# micro_base_help_class_tapt_seed_1
This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/micro_base_help_tapt_pretrain_model", "model-index": [{"name": "micro_base_help_class_tapt_seed_1", "results": []}]} | BigTMiami/micro_base_help_class_tapt_seed_1 | null | [
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| micro\_base\_help\_class\_tapt\_seed\_1
=======================================
This model is a fine-tuned version of BigTMiami/micro\_base\_help\_tapt\_pretrain\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3254
* Accuracy: 0.8584
* F1 Macro: 0.6599
Model descri... | [
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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. -->
# mistralv1_lora_r4_1e-4_e5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r4_1e-4_e5", "results": []}]} | fangzhaoz/mistralv1_lora_r4_1e-4_e5 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# mistralv1_lora_r4_1e-4_e5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 hype... | [
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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": []} | fangzhaoz/mistralv1_lora_r4_1e-4_e5_merged | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | tony-k/code-search-net-tokenizer | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predict... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_3 | null | [
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# Adapter 'BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
F... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/AnimeRealPantheon_k1ssBakedvae | null | [
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automatic-speech-recognition | transformers.js | Fine-tunned Serbian Whisper medium to use it with Transformers.js
ONNX converted
[Sagicc/whisper-small-sr-yodas-v2](https://huggingface.co/Sagicc/whisper-small-sr-yodas-v2) with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution u... | {"language": ["sr"], "license": "mit", "library_name": "transformers.js"} | Sagicc/whisper-small-sr-onnx | null | [
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"onnx",
"whisper",
"automatic-speech-recognition",
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] | TAGS
#transformers.js #onnx #whisper #automatic-speech-recognition #sr #license-mit #region-us
| Fine-tunned Serbian Whisper medium to use it with URL
ONNX converted
Sagicc/whisper-small-sr-yodas-v2 with ONNX weights to be compatible with URL.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we... | [] | [
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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. -->
# micro_base_help_class_tapt_seed_2
This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/micro_base_help_tapt_pretrain_model", "model-index": [{"name": "micro_base_help_class_tapt_seed_2", "results": []}]} | BigTMiami/micro_base_help_class_tapt_seed_2 | null | [
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"license:mit",
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| micro\_base\_help\_class\_tapt\_seed\_2
=======================================
This model is a fine-tuned version of BigTMiami/micro\_base\_help\_tapt\_pretrain\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3416
* Accuracy: 0.8534
* F1 Macro: 0.6723
Model descri... | [
"### 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: 2\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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null | null |
Using ToolsBaer OST to HTML Conversion Software is the risk-free method of converting Outlook OST files to HTML file format. One or more OST database files can be converted to HTML format using this quick and simple procedure, keeping all required features and information. Users can transfer this easy-to-use applicati... | {} | madelineoliver/ToolsBaer-OST-to-HTML-Conversion | null | [
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#region-us
|
Using ToolsBaer OST to HTML Conversion Software is the risk-free method of converting Outlook OST files to HTML file format. One or more OST database files can be converted to HTML format using this quick and simple procedure, keeping all required features and information. Users can transfer this easy-to-use applicati... | [] | [
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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. -->
# bert-reviews-online-courses-sentiment-analysis-sravni.ru-corp-ru
This model is a fine-tuned version of [distilbert/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "bert-reviews-online-courses-sentiment-analysis-sravni.ru-corp-ru", "results": []}]} | C0uchP0tat0/bert-reviews-online-courses-sentiment-analysis-sravni.ru-corp-ru | null | [
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#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| URL-corp-ru
===========
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1533
* Accuracy: 0.9526
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: 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: 2",
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/XXXXXX | null | [
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|
# Model Card for Model ID
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ikeno-ada/nllb-200-distilled-1.3B-bitsandbytes-4bit-cpu | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# micro_base_help_class_tapt_seed_3
This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/micro_base_help_tapt_pretrain_model", "model-index": [{"name": "micro_base_help_class_tapt_seed_3", "results": []}]} | BigTMiami/micro_base_help_class_tapt_seed_3 | null | [
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] | null | 2024-04-20T10:52:18+00:00 | [] | [] | TAGS
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| micro\_base\_help\_class\_tapt\_seed\_3
=======================================
This model is a fine-tuned version of BigTMiami/micro\_base\_help\_tapt\_pretrain\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3588
* Accuracy: 0.8398
* F1 Macro: 0.6881
Model descri... | [
"### 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: 3\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predict... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_4 | null | [
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"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/amz_10k_seq_bn_helpf_class_adp_seed_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
F... | [
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... | [
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translation | 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": ["text-generation-inference"], "pipeline_tag": "translation"} | ikeno-ada/nllb-200-distilled-600M-bitsandbytes-4bit-cpu | 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 |
# 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": []} | BohdanPetryshyn/codellama-7b-clone | null | [
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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 | transformers | ## About
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static quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-base
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/deepsee... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-llm-67b-base", "license_link": "LICENSE", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-llm-67b-base-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
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-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | Checkpoint weights seem to be malfunctioning with the hf transformer library. Please bear with me as I work on debugging and resolving the issue.
Reference code : https://github.com/Jha-Pranav/OpenTransformer | {"license": "apache-2.0"} | Jha-Pranav/blm-18.6M | null | [
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#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Checkpoint weights seem to be malfunctioning with the hf transformer library. Please bear with me as I work on debugging and resolving the issue.
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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. -->
# micro_base_help_class_no_pre_seed_2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "micro_base_help_class_no_pre_seed_2", "results": []}]} | BigTMiami/micro_base_help_class_no_pre_seed_2 | null | [
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"license:mit",
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#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| micro\_base\_help\_class\_no\_pre\_seed\_2
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3300
* Accuracy: 0.862
* F1 Macro: 0.6407
Model description
-----------------
More in... | [
"### 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: 2\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
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text-generation | transformers | My first run, 8192 ctx qlora, trained on AEZAKMI-3_6 dataset. Base seems to not be too slopped but finetune is not great - lots of slopped GPTisms, "It's important to remember" etc. It does seem uncensored though, so if you're not fine with Llama-3-8B-Instruct, this might be an option until more better finetunes come o... | {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | adamo1139/Llama-3-8B-AEZAKMI-run1 | null | [
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| My first run, 8192 ctx qlora, trained on AEZAKMI-3_6 dataset. Base seems to not be too slopped but finetune is not great - lots of slopped GPTisms, "It's important to remember" etc. It does seem uncensored though, so if you're not fine with Llama-3-8B-Instruct, this might be an option until more better finetunes come o... | [] | [
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null | null | BPE Tokenizer Model trained on the AOFrench dataset with a vocab size of 8,192. | {"language": ["fr"], "license": "mit"} | cambridge-climb/FR-CamBabyTokenizer | null | [
"fr",
"license:mit",
"region:us"
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#fr #license-mit #region-us
| BPE Tokenizer Model trained on the AOFrench dataset with a vocab size of 8,192. | [] | [
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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": []} | fombus/histllama | null | [
"transformers",
"safetensors",
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Ghost 7B Alpha
<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/QPrQZMQX_jzyYngmreP0_.jpeg" alt="Ghost 7B Alpha Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
The large generation of language models focuses on optimizing excellent reasonin... | {"language": ["en", "vi"], "license": "other", "library_name": "transformers", "tags": ["ghost", "tools", "chat"], "license_name": "ghost-7b", "license_link": "https://ghost-x.org/ghost-7b-license", "pipeline_tag": "text-generation", "widget": [{"text": "Why is the sky blue ?", "output": {"text": "The sky appears blue ... | ghost-x/ghost-7b-alpha-gguf | null | [
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#transformers #gguf #mistral #ghost #tools #chat #text-generation #conversational #en #vi #license-other #endpoints_compatible #text-generation-inference #region-us
| Ghost 7B Alpha
==============
<img src="URL alt="Ghost 7B Alpha Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
The large generation of language models focuses on optimizing excellent reasoning, multi-task knowledge, and tools support.
Introduction
============
Ghost 7B Alpha ... | [
"### Links\n\n\n* Card model: HuggingFace.\n* Official website: Ghost 7B Alpha.\n* Demo: Playground with Ghost 7B Alpha.\n\n\nDistributions\n-------------\n\n\nWe create many distributions to give you the best access options that best suit your needs. Always make sure you know which version you need and what will h... | [
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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. -->
# micro_base_help_class_tapt_seed_4
This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/micro_base_help_tapt_pretrain_model", "model-index": [{"name": "micro_base_help_class_tapt_seed_4", "results": []}]} | BigTMiami/micro_base_help_class_tapt_seed_4 | null | [
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"base_model:BigTMiami/micro_base_help_tapt_pretrain_model",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T11:08:25+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/micro_base_help_tapt_pretrain_model #license-mit #autotrain_compatible #endpoints_compatible #region-us
| micro\_base\_help\_class\_tapt\_seed\_4
=======================================
This model is a fine-tuned version of BigTMiami/micro\_base\_help\_tapt\_pretrain\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9585
* Accuracy: 0.847
* F1 Macro: 0.6633
Model descrip... | [
"### 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: 4\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... | [
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"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-BigTMiami/micro_base_help_tapt_pretrain_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* le... |
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": []} | baconnier/CIB_BANKER_r32_Llama-3-8B | 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:
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- Shared by [optional]:
- Model type:
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- License... | [
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null | null | **This is a Llama-3 land now, cowboys!**
GGUF-IQ-Imatrix quants for [NLPark/Test0_SLIDE](https://huggingface.co/NLPark/Test0_SLIDE). Presets [here](https://huggingface.co/Lewdiculous/Model-Requests/tree/main/data/presets/cope-llama-3-0.1).
> [!WARNING]
> Use the latest version of KoboldCpp. **Use the provided presets... | {"license": "cc-by-nc-4.0"} | Lewdiculous/Test0_SLIDE-GGUF-IQ-Imatrix | null | [
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#gguf #license-cc-by-nc-4.0 #region-us
| This is a Llama-3 land now, cowboys!
GGUF-IQ-Imatrix quants for NLPark/Test0_SLIDE. Presets here.
> [!WARNING]
> Use the latest version of KoboldCpp. Use the provided presets. <br>
> This is all still highly experimental, let the authors know how it performs for you, feedback is more important than ever now.
Origina... | [
"# Shi-Ci Language Identify & Decode Expositor\n8B, Ruozhiba...\n\n* meta-llama/Meta-Llama-3-8B\n\nChinese\nReleased as an early preview of our v3 LLMs.\nThe v3 series covers the \"Shi-Ci\", \"AnFeng\" and \"Cecilia\" LLM products.\nThe sizes are labelled from small to large \"Nano\" \"Leap\" \"Pattern\" \"Avocet \... | [
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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. -->
# micro_base_help_class_no_pre_seed_3
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "micro_base_help_class_no_pre_seed_3", "results": []}]} | BigTMiami/micro_base_help_class_no_pre_seed_3 | null | [
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"text-classification",
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"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T11:10:13+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| micro\_base\_help\_class\_no\_pre\_seed\_3
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3318
* Accuracy: 0.8454
* F1 Macro: 0.6580
Model description
-----------------
More i... | [
"### 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: 3\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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="Edgar404/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Edgar404/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-20T11:11:08+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vsft-llava_builder_zephyr-7b-beta
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## M... | {"tags": ["trl", "sft", "generated_from_trainer"], "model-index": [{"name": "vsft-llava_builder_zephyr-7b-beta", "results": []}]} | edbeeching/vsft-llava_builder_zephyr-7b-beta | null | [
"transformers",
"safetensors",
"llava",
"pretraining",
"trl",
"sft",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T11:11:41+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #trl #sft #generated_from_trainer #endpoints_compatible #region-us
|
# vsft-llava_builder_zephyr-7b-beta
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",... | [
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"## Model description\n\nMore information needed",
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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. -->
# clasificador-rotten-tomatoes
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "clasificador-rotten-tomatoes", "results": []}]} | jonruida/clasificador-rotten-tomatoes | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T11:11:44+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| clasificador-rotten-tomatoes
============================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8027
* Accuracy: 0.8621
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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: 3.0",
"### Traini... | [
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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... | DaniElAbrazos/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-20T11:15:01+00:00 | [] | [] | TAGS
#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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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="Edgar404/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | Edgar404/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-20T11:15:43+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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] |
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": []} | bdsaglam/llama-2-7b-chat-jerx-debug | null | [
"transformers",
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-ep25 | null | [
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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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- Model type:
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null | null |
# cleatherbury/Phigments12-Q6_K-GGUF
This model was converted to GGUF format from [`liminerity/Phigments12`](https://huggingface.co/liminerity/Phigments12) 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... | {"license": "apache-2.0", "tags": ["liminerity/merge6", "liminerity/merge3", "Merge", "llama-cpp", "gguf-my-repo"]} | cleatherbury/Phigments12-Q6_K-GGUF | null | [
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#gguf #liminerity/merge6 #liminerity/merge3 #Merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# cleatherbury/Phigments12-Q6_K-GGUF
This model was converted to GGUF format from 'liminerity/Phigments12' 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": []} | Conradlynny/gemma1k_ft | null | [
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"text-generation",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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image-to-text | transformers |
# LongCap: Finetuned [BLIP](https://huggingface.co/Salesforce/blip-image-captioning-large) for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using th... | {"license": "bsd-3-clause", "tags": ["image-captioning"], "datasets": ["unography/laion-14k-GPT4V-LIVIS-Captions"], "pipeline_tag": "image-to-text", "languages": ["en"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg", "example_title": "Savanna"}, {"src": "https://hugg... | unography/blip-large-long-cap-sam-llava | null | [
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|
# LongCap: Finetuned BLIP for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using the Pytorch model
#### Running the model on CPU
<details>
<summar... | [
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null | null |
# T3qm7xpExperiment27pastiche-7B
T3qm7xpExperiment27pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: nlpguy/T3QM7XP
- model: automerger/Experiment27P... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7xpExperiment27pastiche-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T11:22:53+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qm7xpExperiment27pastiche-7B
T3qm7xpExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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 - junhua226/corgy_dog_LoRA
<Gallery />
## Model description
These are junhua226/corgy_dog_LoRA L... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of TOK dog", "wi... | junhua226/corgy_dog_LoRA | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-20T11:25:39+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - junhua226/corgy_dog_LoRA
<Gallery />
## Model description
These are junhua226/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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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. -->
# micro_base_help_class_no_pre_seed_4
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "micro_base_help_class_no_pre_seed_4", "results": []}]} | BigTMiami/micro_base_help_class_no_pre_seed_4 | null | [
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| micro\_base\_help\_class\_no\_pre\_seed\_4
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8233
* Accuracy: 0.852
* F1 Macro: 0.6640
Model description
-----------------
More in... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-0 | null | [
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# 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. -->
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": []} | ohsuz/ohsuz-fin | null | [
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translation | 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. -->
# nllb-600M-mt-french-bambara
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/face... | {"language": ["fr", "bm"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["oza75/mt-fr-bm-texts"], "metrics": ["sacrebleu"], "base_model": "facebook/nllb-200-distilled-600M", "pipeline_tag": "translation", "model-index": [{"name": "nllb-600M-mt-french-bambara... | oza75/nllb-600M-mt-french-bambara | null | [
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|
# nllb-600M-mt-french-bambara
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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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": []} | mohamedhachemi/mohazz_ar | null | [
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# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-0-a | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Orca-Llama-3-8B-Instruct-DPO
Finetuned [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) using a single 3090 24GB. Data formated using the ChatML template.
GGUF can be found here [RDson/Orca-Llama-3-8B-In... | {"license": "other", "library_name": "transformers", "tags": ["llama 3", "orca ", "dpo "], "datasets": ["Intel/orca_dpo_pairs"], "pipeline_tag": "text-generation", "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license"} | RDson/Orca-Llama-3-8B-Instruct-DPO | null | [
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| # Orca-Llama-3-8B-Instruct-DPO
Finetuned Llama 3 8B Instruct on Intel/orca_dpo_pairs using a single 3090 24GB. Data formated using the ChatML template.
GGUF can be found here RDson/Orca-Llama-3-8B-Instruct-DPO-GGUF
ORPOConfig:
<div style="text-align: center;">
<img src="https://i.URL style="width: 100%; margin:... | [
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image-classification | timm | # Model card for hpx_former_ln_s18.westai_in1k_384
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | Spravil/hpx_former_ln_s18.westai_in1k_384 | null | [
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#timm #pytorch #safetensors #image-classification #license-apache-2.0 #region-us
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