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null | transformers |
# Uploaded model
- **Developed by:** azhardhiaulhaq229
- **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.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | azhardhiaulhaq229/safety-model-v0.3 | null | [
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|
# Uploaded model
- Developed by: azhardhiaulhaq229
- 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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null | transformers | ## About
static quants of https://huggingface.co/fblgit/UNAversal-8x7B-v1beta
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.c... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["UNA", "juanako", "mixtral", "MoE"], "base_model": "fblgit/UNAversal-8x7B-v1beta", "quantized_by": "mradermacher"} | mradermacher/UNAversal-8x7B-v1beta-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# gpt-neo-125m-cs-finetuning-100000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleut... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-100000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-100000-1 | null | [
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| gpt-neo-125m-cs-finetuning-100000-1
===================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1753
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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": "codellama/CodeLlama-13b-Instruct-hf"} | life2scenario-llm24/CodeLlama-13b-Instruct-hf-merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# T5-lora-legalease
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "T5-lora-legalease", "results": []}]} | jgibb/T5-lora-legalease | null | [
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| T5-lora-legalease
=================
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1673
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informatio... | [
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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. -->
# Question_Generation_ComQ_12
This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_11](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Question_Generation_ComQ_11", "model-index": [{"name": "Question_Generation_ComQ_12", "results": []}]} | Gayathri142214002/Question_Generation_ComQ_12 | null | [
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| Question\_Generation\_ComQ\_12
==============================
This model is a fine-tuned version of Gayathri142214002/Question\_Generation\_ComQ\_11 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2199
Model description
-----------------
More information needed
Intend... | [
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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. -->
# product-review-information-density-detection-distilbert
This model is a fine-tuned version of [distilbert/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "product-review-information-density-detection-distilbert", "results": []}]} | aloychow/product-review-information-density-detection-distilbert | null | [
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| product-review-information-density-detection-distilbert
=======================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2972
* Accuracy: 0.8387
Model description... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "NousResearch/Llama-2-7b-chat-hf"} | data-aces/Llama2-7B-FineTune-CT | null | [
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## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw4 | null | [
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# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
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!Tesoro
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### Below shows a code example on how to use this model:
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text-generation | transformers |
# Model Card for alokabhishek/Llama-2-7b-chat-hf-bnb-8bit
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 8-bit quantized (using bitsandbytes) model of Meta's meta-llama/Llama-2-7b-chat-hf
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Original model: [... | {"license": "llama2", "library_name": "transformers", "tags": ["8bit", "bnb", "bitsandbytes", "llama", "llama-2", "facebook", "meta", "7b", "quantized"], "pipeline_tag": "text-generation"} | alokabhishek/Llama-2-7b-chat-hf-bnb-8bit | null | [
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"endpoints_compatible",
"text-generation... | null | 2024-04-02T05:32:10+00:00 | [
"2305.14314",
"2307.09288"
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| Model Card for alokabhishek/Llama-2-7b-chat-hf-bnb-8bit
=======================================================
This repo contains 8-bit quantized (using bitsandbytes) model of Meta's meta-llama/Llama-2-7b-chat-hf
Model Details
-------------
* Model creator: Meta
* Original model: Llama-2-7b-chat-hf
### About 8... | [
"### About 8 bit quantization using bitsandbytes\n\n\n* QLoRA: Efficient Finetuning of Quantized LLMs: arXiv - QLoRA: Efficient Finetuning of Quantized LLMs\n* Hugging Face Blog post on 8-bit quantization using bitsandbytes: A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using Huggin... | [
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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-tr-cv16.1
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-tr-cv16.1", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recog... | rumeyskeskn/wav2vec2-large-xls-r-300m-tr-cv16.1 | null | [
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| wav2vec2-large-xls-r-300m-tr-cv16.1
===================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3356
* Wer: 0.4160
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers | # Garbage
This is a finetune of InfinityNexus_9B. This is my first time tuning a frankenmerge, so hopefully it works out. The goal is to improve intelligence and RP ability beyond the 7B original mod... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["ResplendentAI/Luna_Alpaca"], "base_model": ["ChaoticNeutrals/InfinityNexus_9B", "jeiku/luna_lora_9B"]} | jeiku/Garbage_9B | null | [
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| # Garbage
!image/png
This is a finetune of InfinityNexus_9B. This is my first time tuning a frankenmerge, so hopefully it works out. The goal is to improve intelligence and RP ability beyond the 7B original models. | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5_model_1
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the wmt14 da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wmt14"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "T5_model_1", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "wmt14", "type... | sriram-sanjeev9s/T5_model_1 | null | [
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| T5\_model\_1
============
This model is a fine-tuned version of google-t5/t5-small on the wmt14 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4948
* Bleu: 8.741
* Gen Len: 17.974
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Narednra/tinyllama2fine_tuned | null | [
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#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | null |
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 5
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator parameter... | {} | jlbaker361/dcgan-neg-k-img | null | [
"region:us"
] | null | 2024-04-02T05:40:47+00:00 | [] | [] | TAGS
#region-us
|
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 5
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator parameter... | [] | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | ashishp-wiai/vit-base-patch16-224-in21k-finetuned-npss300 | 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 | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-125m-cs-finetuning-100000-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleut... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-100000-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-100000-2 | null | [
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| gpt-neo-125m-cs-finetuning-100000-2
===================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1673
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | null |
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 5
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator parameter... | {} | jlbaker361/dcgan-neg-k-text | null | [
"region:us"
] | null | 2024-04-02T05:44:51+00:00 | [] | [] | TAGS
#region-us
|
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 5
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator parameter... | [] | [
"TAGS\n#region-us \n"
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5
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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. -->
# neelyooo_starcoder
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) o... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "neelyooo_starcoder", "results": []}]} | Neelyooo/neelyooo_starcoder | null | [
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"trl",
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"generated_from_trainer",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# neelyooo_starcoder
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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null | transformers |
# Uploaded model
- **Developed by:** azhardhiaulhaq229
- **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.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | azhardhiaulhaq229/safety-model-v0.4 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Data-Lab/multilingual-e5-base_censor_v0.1 | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LongT5-Large-NSPCC
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| LongT5-Large-NSPCC
==================
This model is a fine-tuned version of google/long-t5-tglobal-large on an unknown dataset.
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* Rouge1: 0.4597
* Rouge2: 0.1665
* Rougel: 0.2562
* Rougelsum: 0.2557
* Gen Len: 250.6383
Model description
-----... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | chejung/Mistral-7b-instruct-finetuning-japanese | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | lunarsylph/stablecell_v32 | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5_wmt14_En_Fr_1million
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wmt14"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "T5_wmt14_En_Fr_1million", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "... | sriram-sanjeev9s/T5_wmt14_En_Fr_1million | null | [
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| T5\_wmt14\_En\_Fr\_1million
===========================
This model is a fine-tuned version of google-t5/t5-small on the wmt14 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3618
* Bleu: 8.7934
* Gen Len: 17.9953
Model description
-----------------
More information needed
Intended ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "sentiment-model-3000-samples", "results": []}]} | lekhapinninti/sentiment-model-3000-samples | null | [
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|
# sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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- Loss: 0.8771
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | transformers | ## About
static quants of https://huggingface.co/R136a1/TimeLess-20B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/TimeLess-20B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM... | {"language": ["en"], "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "R136a1/TimeLess-20B", "quantized_by": "mradermacher"} | mradermacher/TimeLess-20B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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null | null |
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 27
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator paramete... | {} | jlbaker361/dcgan-neg-vanilla | null | [
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#region-us
|
Creative Adversarial Network
epochs: 100
dataset jlbaker361/wikiart
n classes 27
batch_size 64
images where resized to 768
and then center cropped to: 512
used clip=False
conditional =False
discriminator parameters:
init_dim: 32
final_dim 512
generator paramete... | [] | [
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by shanayaSia following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 20150181347
Sample pictures of this concept:
.jpg)
![1](ht... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | shanayaSia/my-pet-dog | null | [
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| ### My-Pet-Dog Dreambooth model trained by shanayaSia following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 20150181347
Sample pictures of this concept:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | shivamklr/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7867
* Matthews Correlation: 0.5312
Model description
-----------------
More infor... | [
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text-generation | transformers |
# Model Card for alokabhishek/Mistral-7B-Instruct-v0.2-bnb-8bit
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 8-bit quantized (using bitsandbytes) model Mistral AI_'s Mistral-7B-Instruct-v0.2
## Model Details
- Model creator: [Mistral AI_](https://huggingface.co/mistralai)
- Origi... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["bitsandbytes", "quantized", "8bit", "Mistral", "Mistral-7B", "bnb"], "pipeline_tag": "text-generation"} | alokabhishek/Mistral-7B-Instruct-v0.2-bnb-8bit | null | [
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|
# Model Card for alokabhishek/Mistral-7B-Instruct-v0.2-bnb-8bit
This repo contains 8-bit quantized (using bitsandbytes) model Mistral AI_'s Mistral-7B-Instruct-v0.2
## Model Details
- Model creator: Mistral AI_
- Original model: Mistral-7B-Instruct-v0.2
### About 8 bit quantization using bitsandbytes
- QLoRA:... | [
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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": []} | OnAnOrange/mistral-7B-human-test-examples-true-instruction-format | 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 Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | aienthuguy/test_case_assistant | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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. -->
# car-type-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "car-type-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "im... | TenzinNYeshey/car-type-model | null | [
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"has_space",
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| car-type-model
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0169
* Accuracy: 0.4737
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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. -->
# Rice-Image_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Rice-Image_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "... | syeldon/Rice-Image_model | null | [
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| Rice-Image\_model
=================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0433
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitation... | [
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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. -->
# bird-dataset-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bird-dataset-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name":... | Parjeet/bird-dataset-model | null | [
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] | null | 2024-04-02T06:13:46+00:00 | [] | [] | TAGS
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| bird-dataset-model
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4292
* Accuracy: 0.9851
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# Bhutanese-religious-artefacts-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Bhutanese-religious-artefacts-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "d... | deomdell/Bhutanese-religious-artefacts-model | null | [
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| Bhutanese-religious-artefacts-model
===================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7982
* Accuracy: 0.6842
Model description
-----------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# chess-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "chess-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "image... | Bidash/chess-model | null | [
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| chess-model
===========
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0991
* Accuracy: 0.7067
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# card-classification-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "card-classification-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {... | pemachozom/card-classification-model | null | [
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] | null | 2024-04-02T06:16:20+00:00 | [] | [] | TAGS
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| card-classification-model
=========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9357
* Accuracy: 0.3333
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RoBERTa_EmpAI_FineTuned
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/robert... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "RoBERTa_EmpAI_FineTuned", "results": []}]} | LuangMV97/RoBERTa_EmpAI_FineTuned | null | [
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| RoBERTa\_EmpAI\_FineTuned
=========================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0707
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# gpt-neo-125m-cs-finetuning-100000-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleut... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-100000-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-100000-3 | null | [
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| gpt-neo-125m-cs-finetuning-100000-3
===================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1603
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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automatic-speech-recognition | transformers |
# Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Spee... | {"language": ["en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl", "ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk", "el", "ms", "cs", "ro", "da", "hu", "ta", false, "th", "ur", "hr", "bg", "lt", "la", "mi", "ml", "cy", "sk", "te", "fa", "lv", "bn", "sr", "az", "sl", "kn", "et", "mk", "br",... | vicky4s4s/voice_recognition_technology | null | [
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=======
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need
for fine-tuning.
Whisper was proposed in the paper Robust Spee... | [
"### Flash Attention\n\n\nWe recommend using Flash-Attention 2 if your GPU allows for it.\nTo do so, you first need to install Flash Attention:\n\n\nand then all you have to do is to pass 'use\\_flash\\_attention\\_2=True' to 'from\\_pretrained':",
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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. -->
# DreamBooth - LeoXie/output
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were tra... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of sks dog"} | LeoXie/output | null | [
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|
# DreamBooth - LeoXie/output
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
#### How... | [
"# DreamBooth - LeoXie/output\n\nThis is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: False.",
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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. -->
# bhutanese-currency-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bhutanese-currency-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"... | Chimmi/bhutanese-currency-model | null | [
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| bhutanese-currency-model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2363
* Accuracy: 0.9964
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw4.2 | null | [
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"text-generation",
"license:other",
"autotrain_compatible",
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] | null | 2024-04-02T06:23:02+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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"### Below shows a code example on how to use this model:\n\n\n\n<br>",
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null | transformers | ## About
static quants of https://huggingface.co/chrischain/SatoshiNv5
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discus... | {"language": ["en"], "license": "cc-by-2.0", "library_name": "transformers", "tags": ["finance", "legal", "biology", "art"], "base_model": "chrischain/SatoshiNv5", "quantized_by": "mradermacher"} | mradermacher/SatoshiNv5-GGUF | null | [
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"en"
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#transformers #gguf #finance #legal #biology #art #en #base_model-chrischain/SatoshiNv5 #license-cc-by-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-hi-1
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "whisper-hi-1", "results": []}]} | Devanshj7/whisper-hi-1 | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T06:23:23+00:00 | [] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-large-v3 #license-apache-2.0 #endpoints_compatible #region-us
| whisper-hi-1
============
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7841
* Wer: 52.1739
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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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. -->
# chessdata-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "chessdata-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "i... | Pelden/chessdata-model | null | [
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"dataset:imagefolder",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-02T06:25:07+00:00 | [] | [] | TAGS
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| chessdata-model
===============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5827
* Accuracy: 0.8378
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "mit", "library_name": "transformers", "datasets": ["lavita/MedQuAD"]} | guptavishal79/aimlops | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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null | null |
# Model Card for EpiDiff
<!-- Provide a quick summary of what the model is/does. -->
[EpiDiff](https://huanngzh.github.io/EpiDiff/) is a generative model based on Zero123 that takes an image of an object as a conditioning frame, and generates 16 multiviews of that object.
![image/gif](https://cdn-uploads.huggingfac... | {"license": "mit"} | huanngzh/EpiDiff | null | [
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#arxiv-2312.06725 #license-mit #region-us
|
# Model Card for EpiDiff
EpiDiff is a generative model based on Zero123 that takes an image of an object as a conditioning frame, and generates 16 multiviews of that object.
!image/gif
## Model Details
### Model Description
- Model type: Generative image-to-multiview model
- License:
### Model Sources
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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": []} | Kakoli/dialogue_Summary | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T06:28:29+00:00 | [
"1910.09700"
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#transformers #safetensors #bart #text2text-generation #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:
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v4_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v4_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`h... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora"], "widget": [{"text": "a <s0><s1> emoji dressed as an easter bunny", "output": {"url": "image_0.png"}}, {"text": "a <s0><s1> emoji dressed as an easte... | linoyts/huggy_dora_v4_pivotal | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v4_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v4_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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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. -->
# apple-tomatoe-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "apple-tomatoe-model", "results": []}]} | Pemmmm/apple-tomatoe-model | null | [
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| apple-tomatoe-model
===================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/bagel-dpo-20b-v04
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/bagel-dpo-20b-v04-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to ... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-... | mradermacher/bagel-dpo-20b-v04-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# computer_parts_classifier-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "computer_parts_classifier-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "datas... | chador2003/computer_parts_classifier-model | null | [
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| computer\_parts\_classifier-model
=================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5140
* Accuracy: 0.8069
Model description
-----------------
More information ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/s_306 | 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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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. -->
# Chess-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Chess-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "image... | Thogmey/Chess-model | null | [
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| Chess-model
===========
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2505
* Accuracy: 0.65
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# bhutanese-textile-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bhutanese-textile-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"n... | Asseh/bhutanese-textile-model | null | [
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] | null | 2024-04-02T06:33:59+00:00 | [] | [] | TAGS
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| bhutanese-textile-model
=======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1699
* Accuracy: 0.7209
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# apple_tomatoe_model1
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "apple_tomatoe_model1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name... | Pemmmm/apple_tomatoe_model1 | null | [
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| apple\_tomatoe\_model1
======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4129
* Accuracy: 0.9747
Model description
-----------------
More information needed
Intended uses... | [
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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": "google/gemma-2b"} | oscarwang2/test-001 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Nibeel/wav2vec2-base-timit-demo-google-colab | 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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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. -->
# Bhutanese_Sign_Digit_Model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goog... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Bhutanese_Sign_Digit_Model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": ... | JiggZinn/Bhutanese_Sign_Digit_Model | null | [
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| Bhutanese\_Sign\_Digit\_Model
=============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3865
* Accuracy: 0.9039
Model description
-----------------
More information needed
... | [
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text-to-image | null |
# LoRA model of cnoc_na_riabh_yaraan_doo/ノクナレア・ヤラアーンドゥ/诺克娜蕾·雅兰杜 (Fate/Grand Order)
## What Is This?
This is the LoRA model of waifu cnoc_na_riabh_yaraan_doo/ノクナレア・ヤラアーンドゥ/诺克娜蕾·雅兰杜 (Fate/Grand Order).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), a... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/cnoc_na_riabh_yaraan_doo_fgo"], "pipeline_tag": "text-to-image"} | CyberHarem/cnoc_na_riabh_yaraan_doo_fgo | null | [
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] | null | 2024-04-02T06:37:50+00:00 | [] | [] | TAGS
#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/cnoc_na_riabh_yaraan_doo_fgo #license-mit #region-us
| LoRA model of cnoc\_na\_riabh\_yaraan\_doo/ノクナレア・ヤラアーンドゥ/诺克娜蕾·雅兰杜 (Fate/Grand Order)
====================================================================================
What Is This?
-------------
This is the LoRA model of waifu cnoc\_na\_riabh\_yaraan\_doo/ノクナレア・ヤラアーンドゥ/诺克娜蕾·雅兰杜 (Fate/Grand Order).
How Is It Tr... | [] | [
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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. -->
# Chess
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Chess", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder... | Tapashh/Chess | null | [
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| Chess
=====
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7292
* Accuracy: 0.6538
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# image-dataset-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "image-dataset-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name"... | Deepak-05-galey/image-dataset-model | null | [
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| image-dataset-model
===================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3135
* Accuracy: 0.98
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | walterg777/code-search-net-tokenizer | null | [
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"1910.09700"
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#transformers #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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | maty0505/gpt_0.125B_global_step2200 | null | [
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - Samhita/stable-diffusion-lora
These are LoRA adaption weights for CompVis/stable-d... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true} | Samhita/stable-diffusion-lora | null | [
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|
# LoRA text2image fine-tuning - Samhita/stable-diffusion-lora
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the svjack/pokemon-blip-captions-en-zh dataset.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide e... | [
"# LoRA text2image fine-tuning - Samhita/stable-diffusion-lora\n These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the svjack/pokemon-blip-captions-en-zh dataset.",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-ai-medical-chatbot
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-ai-medical-chatbot", "results": []}]} | mohits01/phi-1_5-finetuned-ai-medical-chatbot | null | [
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|
# phi-1_5-finetuned-ai-medical-chatbot
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# phi-1_5-finetuned-ai-medical-chatbot\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tinyllama-colorist-v1
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlam... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tinyllama-colorist-v1", "results": []}]} | teddyllm/tinyllama-colorist-v1 | null | [
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|
# tinyllama-colorist-v1
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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... | [
"# tinyllama-colorist-v1\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# flowerr-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "flowerr-model", "results": []}]} | Dalaix703/flowerr-model | null | [
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"license:apache-2.0",
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] | null | 2024-04-02T06:43:25+00:00 | [] | [] | TAGS
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| flowerr-model
=============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-----------... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | madsci/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6538
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: 3",
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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. -->
# Fruits-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Fruits-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imag... | Sonam02/Fruits-model | null | [
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| Fruits-model
============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6419
* Accuracy: 0.8
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | lgodwangl/new_10m | 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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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. -->
# Fruits-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Fruits-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imag... | KayDee03/Fruits-model | null | [
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| Fruits-model
============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0986
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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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. -->
# test-trainer
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "test-trainer", "results": []}]} | Ray5566/test-trainer | null | [
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|
# test-trainer
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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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. -->
# bhutanese-textile-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bhutanese-textile-model", "results": []}]} | Dalaix703/bhutanese-textile-model | null | [
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| bhutanese-textile-model
=======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluat... | [
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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. -->
# computer_partsclassifier-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "computer_partsclassifier-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "datase... | chador2003/computer_partsclassifier-model | null | [
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| computer\_partsclassifier-model
===============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5569
* Accuracy: 0.8138
Model description
-----------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# cat_and_dog_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "cat_and_dog_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": ... | Keshar/cat_and_dog_model | null | [
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| cat\_and\_dog\_model
====================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5967
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# Ball_Classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Ball_Classification", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name"... | Asseh/Ball_Classification | null | [
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] | null | 2024-04-02T06:53:24+00:00 | [] | [] | TAGS
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| Ball\_Classification
====================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1200
* Accuracy: 0.6883
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | hellie/problem-solution | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# distilroberta-base-finetuned-resume
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-resume", "results": []}]} | vasu11/distilroberta-base-finetuned-resume | null | [
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| distilroberta-base-finetuned-resume
===================================
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7595
* Accuracy: 0.6310
* Precision: 0.6244
* Recall: 0.7291
* F1: 0.6538
Model descri... | [
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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. -->
# Bhuatnese_Sign_Digit_Model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goog... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Bhuatnese_Sign_Digit_Model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": ... | JiggZinn/Bhuatnese_Sign_Digit_Model | null | [
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| Bhuatnese\_Sign\_Digit\_Model
=============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3013
* Accuracy: 0.944
Model description
-----------------
More information needed
... | [
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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. -->
# bhutanese-textile-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bhutanese-textile-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"n... | Thukteen/bhutanese-textile-model | null | [
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| bhutanese-textile-model
=======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2154
* Accuracy: 0.875
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ray5566/dummy-model | 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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token-classification | spacy | Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `ru_core_custom_lg` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.7.0,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, ... | {"language": ["ru"], "library_name": "spacy", "pipeline_tag": "token-classification"} | Dessan/ru_core_custom_lg | null | [
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| Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute\_ruler, lemmatizer.
### Label Scheme
View label scheme (905 labels for 3 components)
### Accuracy
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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. -->
# llama-2-mcq-gen
This model is a fine-tuned version of [NousResearch/Llama-2-13b-chat-hf](https://huggingface.co/NousResearch/Lla... | {"tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-13b-chat-hf", "model-index": [{"name": "llama-2-mcq-gen", "results": []}]} | cashu/llama-2-mcq-gen | null | [
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|
# llama-2-mcq-gen
This model is a fine-tuned version of NousResearch/Llama-2-13b-chat-hf 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 hyper... | [
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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": []} | TTony/llama2_7b_ft_v2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# fruit-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "fruit-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "image... | Thukteen/fruit-model | null | [
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| fruit-model
===========
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2147
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | catastropiyush/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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. -->
# bhutanese-textile-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "bhutanese-textile-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"n... | KayDee03/bhutanese-textile-model | null | [
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| bhutanese-textile-model
=======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2893
* Accuracy: 0.625
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llava_next_mistral_7b_4096
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llav... | {"tags": ["generated_from_trainer"], "base_model": "llava-hf/llava-v1.6-mistral-7b-hf", "model-index": [{"name": "llava_next_mistral_7b_4096", "results": []}]} | MFuyu/llava_next_mistral_7b_4096 | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-02T07:08:46+00:00 | [] | [] | TAGS
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|
# llava_next_mistral_7b_4096
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# llava_next_mistral_7b_4096\n\nThis model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#transformers #safetensors #llava_next #pretraining #generated_from_trainer #base_model-llava-hf/llava-v1.6-mistral-7b-hf #endpoints_compatible #region-us \n",
"# llava_next_mistral_7b_4096\n\nThis model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on an unknown dataset.",
"## Model descr... | [
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"TAGS\n#transformers #safetensors #llava_next #pretraining #generated_from_trainer #base_model-llava-hf/llava-v1.6-mistral-7b-hf #endpoints_compatible #region-us \n# llava_next_mistral_7b_4096\n\nThis model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on an unknown dataset.## Model description\n\nMo... |
text-generation | transformers |
# Occiglot-7B-EU5-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-EU5-Instruct** is a the in... | {"language": ["en", "es", "de", "fr", "it"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-eu5-instruct-AWQ | null | [
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"license:apache-2.0",
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-02T07:08:52+00:00 | [] | [
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"es",
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"fr",
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] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #en #es #de #fr #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| !image/png
Occiglot-7B-EU5-Instruct
========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-EU5-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting the top-5 EU languages (English, Spanish, French, German, and Ita... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-eu5\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, French, German, Italian, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #en #es #de #fr #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-eu5\n* Model type: Causal decoder-only tra... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | duckdwns/xlm-roberta-base-finetuned-panx-de-fr | null | [
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] | null | 2024-04-02T07:10:49+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1779
* F1: 0.8542
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 96\n* eval\\_batch\\_size: 96\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
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